If the number 23 is added to the list, the measurement that will not change would be C. Mode.
Which measurement would not change ?The mode is a helpful measure of central tendency for nominal or categorical data, representing the most frequently occurring value in a given set. In this specific list of numbers, the mode is 2 since it appears twice while other integers appear only once.
If we were to add 23 to the string of numbers, the mode would remain identical since "2" still maintains its position as the most commonly appearing number.
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(Q3) A Pythagorean Triple is a a set of three _____ positive whole numbers, a, b, and c, such that a²+b²=c².
A Pythagorean Triple is a set of three integers that are positive whole numbers, namely a, b, and c, such that a²+b²=c².
A Pythagorean triple consists of three positive integers a, b, and c, such that a2 + b2 = c2. Such a triple is commonly written (a, b, c), and a well-known example is (3, 4, 5). If (a, b, c) is a Pythagorean triple, then so is (ka, kb, kc) for any positive integer k. A primitive Pythagorean triple is one in which a, b and c are coprime (that is, they have no common divisor larger than 1). For example, (3, 4, 5) is a primitive Pythagorean triple whereas (6, 8, 10) is not. A triangle whose sides form a Pythagorean triple is called a Pythagorean triangle, and is necessarily a right triangle
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Find the perimeter of this semi-circle with diameter,
d
= 32cm.
Give your answer as an expression in terms of
π
The middle of {1, 2, 3, 4, 5} is 3. The middle of {1, 2, 3, 4} is 2 and 3. Select the true statements (Select ALL that are true)
An even number of data values will always have one middle number.
An odd number of data values will always have one middle value
An odd number of data values will always have two middle numbers.
An even number of data values will always have two middle numbers.
Answer:
An odd number of data values will always have one middle value
B, D
Step-by-step explanation:
123
2
12345
3
1234567
4
ALWAYS
(L3) If there is no indication of congruent or equal segments, you are dealing with a(n) _____.
(L3) If there is no indication of congruent or equal segments, you are dealing with a(n) orthocenter .
The altitude is a piece of a perpendicular line that connects the triangle's vertex to either its opposite side or an extension of that side.The orthocenter is located inside the triangle if the triangle is acute, on the vertex that is farthest from the base if the triangle is obtuse, and on the base if the triangle is right-angled. The orthocenter is an important point in the study of triangles, as it has a variety of properties that are useful in problem-solving, such as its relationship with the circumcenter and centroid of a triangle.
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What is the area, in square meters, of the shaded part of the rectangle below?
6 m
7 m
3 m
Answer:
130 square metres
Step-by-step explanation:
The shaded area is a trapezium.
Therefore, the rule for its area is base1+base2/2xh
base1=6
base2=14
height = 13
Therefore, 6+14/2 x 13
= 130
Hope that helped!!! k
7.02 Central and Inscribed Angles
pls help
The measures of the angle and side is given by:
Blank 1: (x) = 53
Blank 2: AB =
We know that the measure of semi circular central angle is 90 degrees.
So here angle BDA is 90 degrees. [Since the sum of all interior angles of a triangle is 180 degrees according to the Angle Sum Property]
So the sum of angle DAB and angle ABD is 90 degrees.
So, 37 + x = 90
x = 90 - 37
x = 53 degrees.
Now according to trigonometry, AB is Hypotenuse and DB is Base with respect to angle DBA.
Given that the length of side DB is 15 units.
cos(angle DBA) = DB/AB
cos 37 = 15/AB
AB = 15/cos 37
AB = 18.8 (approximated to one decimal place)
Hence the angle x is 53 degrees and side AB will be 18.8 (rounded off to one decimal place) units.
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Nathan wondered if the different types of animals used for animal crackers were in equal proportions. He took a random sample of686 animal crackers and got the distribution of animals shown in the table.Do these data provide convincing evidence that the typeof animal used for animal crackers is not uniformly distributed?
To test whether the type of animal used for animal crackers is not uniformly distributed, we can use a chi-squared goodness-of-fit test.
The null hypothesis is that the type of animal used for animal crackers is uniformly distributed, while the alternative hypothesis is that it is not uniformly distributed.
We first calculate the expected counts under the assumption of a uniform distribution, which would be 686/6 = 114.33 for each animal.
Animal Observed Count Expected Count
Lion 100 114.33
Tiger 110 114.33
Bear 120 114.33
Rhino 116 114.33
Hippo 130 114.33
Zebra 110 114.33
The test statistic is the chi-squared statistic, which can be calculated as:
χ² = Σ(observed count - expected count)² / expected count
Using the table above, we calculate:
χ² = [(100-114.33)²/114.33] + [(110-114.33)²/114.33] + [(120-114.33)²/114.33] + [(116-114.33)²/114.33] + [(130-114.33)²/114.33] + [(110-114.33)²/114.33] = 7.956
The degrees of freedom for this test is (6-1) = 5.
Using a chi-squared distribution table or calculator, the p-value associated with this test statistic and degrees of freedom is approximately 0.1603.
Since the p-value is greater than the significance level of 0.05, we fail to reject the null hypothesis. Therefore, we do not have convincing evidence to suggest that the type of animal used for animal crackers is not uniformly distributed.
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the american college of obstetricians and gynecologists reports that 32% of all births in the united states take place by caesarian section each year. ( national vital statistics reports , mar. 2010). a. in a random sample of 1,000 births, how many, on average, will take place by caesarian section? b. what is the standard deviation of the number of caesarian section births in a sample of 1,000 births? c. use your answers to parts a and b to form an interval that is likely to contain the number of caesarian section births in a sample of 1,000 births
a. In a random sample of 1,000 births, the expected number of births that take place by Caesarian section is:
E(X) = n*p = 1,000 * 0.32 = 320 births
Therefore, on average, 320 births out of 1,000 will take place by Caesarian section.
b. The variance of the number of Caesarian section births in a sample of 1,000 births is:
Var(X) = np(1-p) = 1,000 * 0.32 * (1-0.32) = 217.60
The standard deviation is the square root of the variance:
SD(X) = sqrt(Var(X)) = sqrt(217.60) = 14.76
Therefore, the standard deviation of the number of Caesarian section births in a sample of 1,000 births is 14.76.
c. To form an interval that is likely to contain the number of Caesarian section births in a sample of 1,000 births, we can use the normal distribution and the central limit theorem. Since n*p = 320 is greater than 10, we can assume that the distribution of the number of Caesarian section births in a sample of 1,000 births is approximately normal.
The 95% confidence interval for the number of Caesarian section births is:
320 ± 1.96*(14.76) = (291.16, 348.84)
Therefore, we can be 95% confident that the number of Caesarian section births in a sample of 1,000 births will be between 291 and 349.
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Find the general solution of the given system. X' = 10 −20 8 −18 x
Required general solution is [tex]x = c_1 v_1 e^{(λ_1 t)} + c_2 v_2 e^{(λ_2 t)}[/tex] where [tex]c_1 \: and \: c_2 [/tex] are constants determined by the initial conditions.
To find the general solution of the given system X' = Ax.
We first need to find the eigenvalues and eigenvectors of the matrix A.
The characteristic polynomial of A is given by lA - λI =|10 - λ -20||8 -18 - λ|
= (10 - λ)(-18 - λ) - (-20)(8)
= λ^2 - 8λ + 4
The roots of this polynomial are
[tex]λ_1 = 4 +\sqrt{12} \\ λ_2 = 4 - \sqrt{12} [/tex]
Next, we need to find the eigenvectors associated with each eigenvalue. For
[tex]λ_1 = 4 + √12[/tex]
, we have:
[tex](A - λ_1 I) x =[/tex]
|10 - (4 + √12) -20|
|8 -18 - (4 + √12)|
| 2 + √12 20 - (4 + √12)|
Reducing this augmented matrix to row echelon form, we get:
|0 -2/(2+√12)|
|1 (10-4-√12)/(2+√12)|
Thus, the eigenvector associated with [tex]λ_1[/tex] is:[tex]v_1[/tex]=|2/(2+√12)|
|-(10-4-√12)/(2+√12)|
Simplifying, we get:
[tex]v_1[/tex] =|(√3 - 1)/2||1 |
Similarly, for [tex]λ_2 = 4 - √12[/tex]
, we have:
[tex](A - λ_2 I) x[/tex]
=|10 - (4 - √12) -20|
|8 -18 - (4 - √12)|
| 2 - √12 20 - (4 - √12)|
Reducing this augmented matrix to row echelon form, we get:
|0 -2/(2-√12)|
|1 (10-4+√12)/(2-√12)|
Thus, the eigenvector associated with
[tex]λ_2[/tex] is:[tex]v_2[/tex] =|-(√3 + 1)/2||1 |
Now we can write the general solution of the system as:
[tex]x = c_1 v_1 e^{(λ_1 t)} + c_2 v_2 e^{(λ_2 t)}[/tex] where [tex]c_1 \: and \: c_2 [/tex] are constants determined by the initial conditions.
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The lengths of time (in years) it took a random sample of 32 former smokers to quit smoking permanently are listed. Assume the population standard deviation is 6.1 years. At α equals 0.06 , is there enough evidence to reject the claim that the mean time it takes smokers to quit smoking permanently is 13 years?
17.8, 21.1, 19.7, 9.5, 18.5, 13.2, 13.6, 10.7 19.1, 7.5, 11.3, 7.6, 21.8, 9.2, 21.6, 9.8 19.3, 21.9, 22.6, 15.5, 12.4, 9.5, 14.9, 7.7 12.9, 17.6, 14.1, 19.4, 17.1, 17.3, 15.4, 22.5
Identify the standardized test statistic. Use technology.
Z = _____.
There is not enough evidence to reject the claim that the mean time it takes smokers to quit smoking permanently is 13 years.
What is the mean and standard deviation?
The standard deviation is a summary measure of the differences of each observation from the mean. If the differences themselves were added up, the positive would exactly balance the negative and so their sum would be zero. Consequently, the squares of the differences are added.
To find the standardized test statistic (Z-score), we need to first calculate the sample mean and standard error of the mean.
Sample mean:
x = (17.8 + 21.1 + 19.7 + 9.5 + 18.5 + 13.2 + 13.6 + 10.7 + 19.1 + 7.5 + 11.3 + 7.6 + 21.8 + 9.2 + 21.6 + 9.8 + 19.3 + 21.9 + 22.6 + 15.5 + 12.4 + 9.5 + 14.9 + 7.7 + 12.9 + 17.6 + 14.1 + 19.4 + 17.1 + 17.3 + 15.4 + 22.5) / 32
x = 15.91875
Standard error of the mean:
SE = σ /√(n)
SE = 6.1 / √(32)
SE = 1.0823
Now we can calculate the Z-score:
Z = (x - μ) / SE
Z = (15.91875 - 13) / 1.0823
Z = 2.5707
we can find that the p-value associated with a Z-score of 2.5707 is approximately 0.0051.
Since the significance level (α) is 0.06, which is larger than the p-value, we fail to reject the null hypothesis.
Therefore, there is not enough evidence to reject the claim that the mean time it takes smokers to quit smoking permanently is 13 years.
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Is it true that If A is invertible and if r ≠0, then (rA)^−1=rA^−1.
The statement is true. Therefore, we have shown that [tex](rA)^{(-1)} = A^{(-1)}/r,[/tex]which implies that [tex](rA)^{(-1)} = r^{(-1)}\times A^{(-1)[/tex]. Hence, [tex](rA)^{(-1) }= rA^{(-1)[/tex], since r is nonzero.
To prove this, we can start with the definition of the inverse of a matrix:
If A is an invertible matrix, then its inverse, denoted as [tex]A^{(-1),[/tex] is the unique matrix such that [tex]A\times A^{(-1)} = A^{(-1)} \times A = I[/tex], where I is the identity matrix.
Now, let's consider the matrix rA, where r is a nonzero scalar. We want to find its inverse, denoted as [tex](rA)^{(-1)[/tex].
We can start by multiplying both sides of the equation [tex]A\times A^{(-1)} = I[/tex] by r:
[tex]rA\times A^{(-1)} = rI[/tex]
Next, we can multiply both sides of this equation by A from the left:
[tex]rA\times A^{(-1)}A = rIA\\rAI = rA = rA(A\times A^{(-1)})[/tex]
Now, we can use the associative property of matrix multiplication to rearrange the right-hand side of this equation:
[tex]rA\times(AA^(-1)) = (rAA)\times A^{(-1)}\\rA\times I = (rA)\times A^{(-1)}\\rA = (rA)\times A^{(-1)}[/tex]
Finally, we can multiply both sides of this equation by [tex](rA)^{(-1)[/tex] from the left to obtain:
[tex](rA)^{(-1)}rA = (rA)^{(-1)}(rA)\times A^{(-1)}\\I = A^{(-1)}[/tex]
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"x = 8
When there's a root, raise both sides to the root number
(₃√x)³=2³
x = 8" How do you solve 3√x = 2?
Answer:
x = [tex]\frac{4}{9}[/tex]
Step-by-step explanation:
3[tex]\sqrt{x}[/tex] = 2 ( divide both sides by 3 )
[tex]\sqrt{x}[/tex] = [tex]\frac{2}{3}[/tex] ( square both sides )
([tex]\sqrt{x}[/tex] )² = ([tex]\frac{2}{3}[/tex] )²
x = [tex]\frac{2^2}{3^2}[/tex]
x = [tex]\frac{4}{9}[/tex]
On Thursday night Antonio watched a movie that was 1 hour and 43 minutes long. If the movie ended at the time shown on the clock below, what time did Antonio start watching the movie?
Antonio started watching the movie at 5:17pm
At what time did Antonio start the movie?If the movie ended at 7:00pm, and we know that the movie was 1 hour and 43 minutes long, we can then subtract 1 hour and 43 minutes from 7:00pm to find out what time Antonio started the movie.
To subtract 1 hour and 43 minutes from 7:00pm:
We will first convert 7:00pm to 24-hour format which is 19:00.We can subtract 1 hour and 43 minutes which gives us:= 19:00 - 1:43
= 17:17
As a 24-hour mode, when we convert 17:17 to 12 hours, this gives us 5:17pm.
Note: The movie ended at 7:00pm
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the monte carlo simulation is a technique that can be used to represent a long period of real-time by a short period of simulated time. group of answer choices true false
True. The Monte Carlo simulation is a technique that uses random sampling to simulate real-life scenarios. It can be used to represent a long period of real-time by using a short period of simulated time.
This is because the simulation can generate a large number of random samples, which can provide a comprehensive picture of the possible outcomes in a shorter time frame.
The Monte Carlo simulation is a technique that can be used to represent a long period of real-time by a short period of simulated time. The statement is true. Monte Carlo simulations use random sampling and statistical models to estimate the probabilities of different outcomes, allowing for the analysis of complex systems over a long period of real-time in a shorter simulated time.
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Please can someone help with this bearing question?
Answer: There is nothing there
Step-by-step explanation:
Answer:
their it is nothing their
each package of batteries contains 4 batteries and costs $3.50. how much will 28 batteries cost if they are bought in packages of 4?
Answer: $24.50
Step-by-step explanation:
We know that each battery pack contains 4 batteries.
This mean that to get 28 batteries, you would need 7 packs (28/4)
7 battery packs x $3.50 = $24.50
∴, 28 batteries will cost $24.50
compare the slopes of the regression line for the two models. in the unstandardized model, what does the slope (.96) mean?
A higher slope indicates a stronger relationship between the variables, and the sign (positive or negative) indicates the direction of the relationship (positive: both variables increase together, negative: one variable increases while the other decreases).
When comparing the slopes of the regression lines for two models, you're essentially looking at the differences in their unstandardized coefficients. These coefficients represent the change in the dependent variable for each unit change in the independent variable, keeping all other variables constant.
In the unstandardized model you mentioned, the slope of 0.96 means that for every one-unit increase in the independent variable, the dependent variable is expected to increase by 0.96 units, on average. This helps us understand the strength and direction of the relationship between the two variables in the model.
To compare the slopes between two models, simply examine their unstandardized coefficients.
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simplify 7^3+^12-^75 choices A 0 B 4^3 C-14^3 D 5^3
The simplified value of the expression given as 7^(3 +12)/7^5 is 7^10
Simplifying the expressionFrom the question, we have the following parameters that can be used in our computation:
7^3+^12-^75
Expess properly
So, we have the following representation
7^(3 +12)/7^5
Evaluate the sum of the exponents
So, we have the following representation
7^15/7^5
When the exponents are simplified, we have
7^10
Hence, the simplified expression of 7^(3 +12)/7^5 is 7^10
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Luisa tiene una gran noticia, se la comunica a 3 personas. Cada una de ellas se la cuenta a 3 más. Así se arma una cadena, pues cada nueva persona que se entera de la noticia la comunica a otras tres. Una persona tarda aproximadamente 10 minutos en comunicar la noticia a otras tres. Si ha transcurrido una hora ¿Cuántas personas se han enterado de la noticia?
After one hour, approximately 364 people will have heard the news.
In general, if n people know the news, then the next round will add 3n new people who also know the news. Therefore, after k rounds (where k is the number of rounds that can fit in an hour), the total number of people who know the news will be:
n + 3n + 3²ⁿ + 3³ⁿ + ... + 3ˣⁿ
To simplify this expression, we can use the formula for the sum of a geometric series:
S = a(1 - rⁿ) / (1 - r)
where S is the sum of the series, a is the first term, r is the common ratio, and n is the number of terms.
In this case, the first term = n ,
the common ratio = 3
and the number of terms = x
Therefore, we can write:
S = n(1 - 3ˣ) / (1 - 3)
Simplifying further, we get:
S = (3ˣ - 1)n / 2
Now we can substitute the values we know:
n = 4
x = 6
Therefore:
S = (3⁶ - 1)4 / 2 = 364
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Complete Question:
Luisa has great news, she communicates it to 3 people. Each of them tells 3 more. This is how a chain is set up, since each new person who learns the news communicates it to three others. It takes one person approximately 10 minutes to communicate the news to three others. If an hour has passed, how many people have heard the news?
Can Someone help me, please!!!
The depth of the water increased between Monday and Tuesday because the value moved to the right on a number line.
How did the depth of the water change over time?To understand on what day there was an increase, let's analyze how the water level changed:
Monday to Tuesday: It increased by 0.2, which means on a numbered line you would move to the right or closer to 0.Tuesday to Wednesday: It increased by 0.3, which means on a numbered line you would move to the left.Wednesday to Thursday: It increased by 0.2, which means on a numbered line you would move to the left.Learn more about number lines in https://brainly.com/question/16191404
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which of these illustrates the definition of a probability distribution? multiple choice question. it rained three-quarters of the day yesterday. there is a 60 percent chance of rain and a 40 percent chance of pure sunshine. the sun is shining today and is supposed to shine tomorrow. it may snow either today or tomorrow.
The statement "There is a 60 percent chance of rain and a 40 percent chance of pure sunshine" illustrates the definition of a probability distribution.
What is probability distribution?A probability distribution is a function that describes the likelihood of different outcomes in a random event or experiment. It assigns probabilities to each possible outcome, where the probabilities add up to 1 (or 100%).
In the given options, the statement "There is a 60 percent chance of rain and a 40 percent chance of pure sunshine" is a clear example of a probability distribution because it assigns probabilities to two possible outcomes - rain and sunshine - with a total probability of 1. Specifically, the statement is saying that there is a 60% chance of rain and a 40% chance of sunshine. This statement describes the likelihood of different outcomes for the weather, making it an example of a probability distribution.
The other two statements do not illustrate a probability distribution because they only provide information about specific events that have already occurred (i.e., "it rained three-quarters of the day yesterday" and "the sun is shining today and is supposed to shine tomorrow") or possible events that may occur in the future without any mention of their likelihood (i.e., "it may snow either today or tomorrow").
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Read the passage.
[1] It is important to repot plants to maintain healthy
growth. [2] First, check whether the plant has grown
too large for its current pot. [3] If so, remove the plant
and gently shake loose as much of the soil as possible,
leaving the roots intact and exposed. [4] Rinse the
roots by soaking them thoroughly. [5] Next, fill the new
pot with layers of perlite (for drainage), manure (for
fertilization), sand, and garden soil. [6] Make sure to
find a new pot that is big enough to allow for future
growth. [7] Make a hollow in the potting mixture and
tuck in the plant. [8] Add more soil around the plant,
then water it generously. [9] Place it in a spot with the
correct amount of sun exposure, and watch it thrive!
How could the error in this set of instructions be resolved?
O by rearranging the steps so they are in sequential
order
O by adding multiple drawings that show how the roots
should look when rinsed and how the plant should
look when it is repotted correctly
O by revising sentence 2 to read, "Check to see
whether the plant has grown too large for its pot by
measuring the space between it and the rim."
O by including measurements for each type of potting
material
The error in the set of instructions can be resolved by rearranging the steps so they are in sequential order. The Option A is correct.
How could the error in the set of instructions be resolved?The most effective solution would be to rearrange the steps so they follow a logical order.
For example, the steps could be rearranged as follows:
1) check the plant's size2) choose a new pot3) remove the plant and rinse the roots4) prepare the potting mixture5) repot the plant6) water and place the plant in a suitable location.Therefore, by doing this would make the instructions clearer and easier to follow. The Option A is correct.
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A study of a population showed that​ males' body temperatures are approximately Normally distributed with a mean of 98.1°F and a population standard deviation of 0.30°F. What body temperature does a male have if he is at the 70th ​percentile? Draw a​ well-labeled sketch to support your answer.
A male at the 70th percentile has a body temperature of 98.26°F.
The body temperature of a male at the 70th percentile, we need to use the cumulative distribution function (CDF) of the normal distribution.
The CDF gives the probability that a random variable (in this case, body temperature) is less than or equal to a certain value.
A standard normal distribution table or a calculator to find the corresponding z-score for the 70th percentile, and then use the formula:
z = [tex](x - \mu) / \sigma[/tex]
x is the body temperature we want to find, mu is the mean, sigma is the standard deviation, and z is the z-score corresponding to the 70th percentile.
Using a standard normal distribution table, we find that the z-score for the 70th percentile is approximately 0.52.
Plugging in the values we have:
0.52 = (x - 98.1) / 0.30
Solving for x, we get:
x = 98.1 + 0.30 × 0.52
x = 98.26°F
To draw a well-labeled sketch to support the answer, we can start by drawing a normal distribution curve with the mean of 98.1°F and a standard deviation of 0.30°F.
The point on the x-axis corresponding to the body temperature of a male at the 70th percentile, which is 98.26°F.
The area under the curve to the left of this point, which represents the probability that a male has a body temperature less than or equal to 98.26°F.
The resulting sketch would look like this:
Normal Distribution Curve with 70th Percentile
The shaded area under the curve represents the probability that a male has a body temperature less than or equal to 98.26°F, is approximately 0.70 or 70%.
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A study of iron deficiency among infants compared samples of infants following different feeding regimens. One group contained breastfed infants, while the infants in another group were fed by a standard baby formula without any iron supplements. The summary results on blood hemoglobin levels at 12 months of age are provided below. Furthermore, assume that both samples are sampled from populations that are reasonably normally distributed. (M.F. Picciano and R.H. Deering?The influence of feeding regimens on iron status during infancy,? American Journal of Clinical Nutrition, 33 (1980), pp. 746-753)
Group n x s
Breast-fed 23 13.3 1.7
Fourmula 19 12.4 1.8
(a) Test the hypothesis that there is a difference in the population means between breast-fed infants and formula-fed infants at α = 0.05. Assume the population variances are unknown but equal.
(b) Construct a 95% confidence interval for the difference in population means between breast-fed infants and formula-fed infants. Assume the population variances are unknown but equal.
(c) Write at least one complete sentence describing how your answers to parts (a) and (b) yield the same conclusion about whether there is a difference in the mean blood hemoglobin levels. Hint: Be sure to use the number 0 when discussing the conclusions.
A. statistically significant difference in the mean blood hemoglobin levels between breastfed infants and formula-fed infants at α = 0.05.
B. the 95% confidence interval for the difference in population means between breast-fed infants and formula-fed infants is (−0.06, 1.18).
C. Both the hypothesis test and the confidence interval lead to the same conclusion that there is a difference in the mean blood hemoglobin levels between the two feeding regimens.
What is null hypothesis?
In statistics, the null hypothesis (H0) is a statement that assumes that there is no significant difference between two or more groups, samples, or populations.
(a) To test the hypothesis that there is a difference in the population means between breast-fed infants and formula-fed infants, we can use a two-sample t-test with equal variances. The null hypothesis is that the population means are equal, and the alternative hypothesis is that they are not equal. Using α = 0.05 as the significance level, the critical value for a two-tailed test with 40 degrees of freedom is ±2.021.
The test statistic can be calculated as:
t = (x1 - x2) / (Sp * √(1/n1 + 1/n2))
where x1 and x2 are the sample means, Sp is the pooled standard deviation, and n1 and n2 are the sample sizes. The pooled standard deviation can be calculated as:
Sp = √(((n1 - 1) * s1² + (n2 - 1) * s2²) / (n1 + n2 - 2))
where s1 and s2 are the sample standard deviations.
Plugging in the values from the table, we get:
t = (13.3 - 12.4) / (1.776 * √(1/23 + 1/19)) = 2.21
Since the absolute value of the test statistic is greater than the critical value, we reject the null hypothesis and conclude that there is a statistically significant difference in the mean blood hemoglobin levels between breastfed infants and formula-fed infants at α = 0.05.
(b) To construct a 95% confidence interval for the difference in population means between breast-fed infants and formula-fed infants, we can use the formula:
(x1 - x2) ± tα/2,Sp * √(1/n1 + 1/n2)
where tα/2,Sp is the critical value of the t-distribution with (n1 + n2 - 2) degrees of freedom and α/2 as the significance level.
Plugging in the values from the table, we get:
(x1 - x2) ± tα/2,Sp * √(1/n1 + 1/n2)
= (13.3 - 12.4) ± 2.021 * 1.776 * √(1/23 + 1/19)
= 0.56 ± 0.62
Therefore, the 95% confidence interval for the difference in population means between breast-fed infants and formula-fed infants is (−0.06, 1.18).
(c) The hypothesis test and the confidence interval both lead to the conclusion that there is a difference in the mean blood hemoglobin levels between breast-fed infants and formula-fed infants. In part (a), we rejected the null hypothesis that the population means are equal, which means we concluded that there is a difference. In part (b), the confidence interval does not contain 0, which means we can reject the null hypothesis that the difference in means is 0 at the 95% confidence level.
Therefore, both the hypothesis test and the confidence interval lead to the same conclusion that there is a difference in the mean blood hemoglobin levels between the two feeding regimens.
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anye purchased two coffees for $3.55 each and a muffin for $2.85. tax was included in the price of the items. she was also left a $2 tip. she has a 5$ gift card and will play for the rest of the order with cash. how much cash will anye need
The amount she will need to pay is $6.95 .
What amount will Anye need?The amount Anye will need is calculated as follows;
The total cost of the two coffees is 2 x $3.55 = $7.10
The total cost of the coffees and muffin is $7.10 + $2.85 = $9.95
Adding the $2 tip, the total cost becomes $9.95 + $2 = $11.95.
If Anye has a $5 gift card, the amount she will need to pay is calculated as;
= $11.95 - $5
= $6.95
Therefore, Anye will need $6.95 in cash to pay for the rest of the order.
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Suppose a consumer product researcher wanted to find out whether a Sharpie lasted longer than the manufacturerâs claim that their Sharpies could write continuously for a mean of 14 hours. The researcher tested 40 Sharpieâs and recorded the number of continuous hours each Sharpie wrote before drying up. Test the hypothesis that Sharpies can write for more than a mean of 14 continuous hours. Following are the summary statistics: x Ì ï½ 14.5 hours, s ï½ 1.2 hours. At the 5% significance level, t = 2.635; p = 0.006. State your conclusion about the original claim.
Do not reject the null hypothesis; there is not strong enough evidence to suggest that the Sharpies last longer than a mean of 14 hours.
Reject the alternative hypothesis; there is strong evidence to suggest that the Sharpies last longer than a mean of 14 hours.
Reject the null hypothesis; there is strong evidence to suggest that the Sharpies last longer than a mean of 14 hours.
There needs to be more data to determine if the Sharpies last longer than a mean of 14 hours.
Reject the null hypothesis; there is strong evidence to suggest that the Sharpies last longer than a mean of 14 hours.
What is null hypothesis?
In statistics, a null hypothesis is a statement that suggests there is no significant difference between two sets of data, or that any observed difference is due to chance or sampling variation.
Reject the null hypothesis; there is strong evidence to suggest that the Sharpies last longer than a mean of 14 hours.
The calculated t-value of 2.635 is greater than the critical t-value at the 5% significance level, which indicates that the sample mean is significantly different from the hypothesized population mean of 14 hours.
The p-value of 0.006 is also less than the significance level of 0.05, providing strong evidence against the null hypothesis.
Therefore, we can conclude that the Sharpies last longer than a mean of 14 continuous hours, based on the given data.
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1. a 24 centimeter chord is 32 centimeters from the center of a circle. find the length of the radius.
The length of the radius of the circle is [tex]4\sqrt{73}[/tex].
Let, AB is the chord with a length of 24 centimeters. Line OD is the distance between the chord and the center of the circle. Line r is the radius.
By the chord bisector theorem, line OD bisects the chord AB and it is perpendicular to AB.
Thus, the length of segment AD would be half of the length of AB. i.e,
AD = 12.
As triangle AOD is a right triangle, use Pythagoras theorem in triangle AOD to find the radius of the circle.
[tex]OA^{2} =AD^{2} +OD^{2} \\r^{2} =12^{2} +32^{2} \\r^{2} =144+1024[/tex]
Further simplify,
[tex]r^{2} =\sqrt{1168}\\ r=4\sqrt{ 73[/tex]
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Question 4 of 10
Using the graphing function on your calculator, find the solution to the system
of equations shown below.
O A. x= 1, y = 1
OB. More than 1 solution
OC. No solution
OD. x= 3, y = 3
3y + 3x = 2
y+x=8
SUBMIT
The graph in the attachment shows that the system of equations, 3y + 3x = 2 and y + x = 8 has: C. No solution
How to Find the Solution to a System of Equations?The solution to a system of equations can be determined by finding the coordinate of the point where the lines that represent each of the equations intersect on a coordinate plane when graphed.
Given the system of equations as:
3y + 3x = 2
y + x = 8
The image below shows a red line which represents 3y + 3x = 2 and a blue line that represents y + x = 8. Both lines do not intersect at any point.
Therefore, there is no solution.
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S0 = 0 is the initial position of the particle, and let Sn be the position of the particle at times n = 0, 1, 2, 3. . . The position Sn for n ≥ 1 can be thought of as a sum of random displacements: Sn = X1 + X2 +. . . + Xn. Assume the Xi ’s are i. I. D. With Range(Xi) = {−1, 0, 2}, P(Xi = k) = 1 3 for all k ∈ Range(X) (so note that there is a bit of a "drift" to the right). (a) What is the probability distribution of the position S2 = X1 + X2? (b) Compute P(S90,000 ≤ 29, 500); express the result in decimals
a) The probability distribution are P(S₂ = -2) = 1/9, P(S₂ = -1) = 2/9, P(S₂ = 0) = 1/9, P(S₂ = 1) = 2/9, P(S₂ = 2) = 2/9, P(S₂ = 3) = 2/9, P(S₂ = 4) = 1/9
b) The probability that the particle's position S90,000 is less than or equal to 29,500 is approximately 0.0571.
In this problem, we are given a particle's initial position S₀ = 0, and its position Sₙ after n time intervals, where the position is a sum of n independent and identically distributed random displacements X₁, X₂, ..., Xₙ. Each displacement Xᵢ can take on one of three values: -1, 0, or 2, with equal probability 1/3 for each.
(a) To find the probability distribution of S₂ = X₁ + X₂, we can enumerate all possible values of S₂ and compute their probabilities. The possible values of S₂ are -2, -1, 0, 1, 2, 3, 4, and their respective probabilities are:
P(S₂ = -2) = P(X₁ = -1, X₂ = -1) = (1/3)² = 1/9
P(S₂ = -1) = P(X₁ = -1, X₂ = 0) + P(X₁ = 0, X₂ = -1) = 2(1/3)² = 2/9
P(S₂ = 0) = P(X₁ = 0, X₂ = 0) = (1/3)² = 1/9
P(S₂ = 1) = P(X₁ = 2, X₂ = -1) + P(X₁ = -1, X₂ = 2) = 2(1/3)² = 2/9
P(S₂ = 2) = P(X₁ = 2, X₂ = 0) + P(X₁ = 0, X₂ = 2) = 2(1/3)² = 2/9
P(S₂ = 3) = P(X₁ = 2, X₂ = 1) + P(X₁ = 1, X₂ = 2) = 2(1/3)² = 2/9
P(S₂ = 4) = P(X₁ = 2, X₂ = 2) = (1/3)² = 1/9
(b) To compute P(S90,000 ≤ 29,500), we can use the Central Limit Theorem (CLT) to approximate the distribution of S90,000. The CLT states that the sum of a large number of independent and identically distributed random variables tends to follow a normal distribution, regardless of the underlying distribution of the individual variables. For n large enough, we have:
S90,000 ≈ N(μ, σ²), where μ = nE(X) and σ² = nVar(X)
Here, n = 90,000, E(X) = (-1 + 0 + 2)/3 = 1/3, and Var(X) = [(2-1/3)² + (-1-1/3)² + (0-1/3)²]/3 = 10/9. Therefore, we have:
μ = 90,000(1/3) = 30,000
σ² = 90,000(10/9) ≈ 100,000
Now, we can standardize the variable Z = (S90,000 - μ)/σ and use a standard normal table or calculator to find the probability:
P(S90,000 ≤ 29,500) = P(Z ≤ (29,500 - 30,000)/√100,000) ≈ P(Z ≤ -1.58) ≈ 0.0571 (rounded to four decimal places)
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Jordan and Taylor agree to meet at the gym. Jordan arrives uniformly between 8:00AM and 8:50AM. Taylor arrives uniformly be- tween 8:00AM and 8:30AM. Their arrival times are independent of one another. Jor- dan is impatient and will leave if Taylor is not there. Taylor will wait up to 10 minutes for Jordan. Determine the probability that they meet. 1. At least 29% 2. At least 16%, but less than 22% 3. At least 22%, but less than 29% 4. Less than 10% 5. At least 10%, but less than 16%
The answer is option 3: at least 22%, but less than 29%.
Let J be the random variable representing Jordan's arrival time, and let T be the random variable representing Taylor's arrival time.
Then, J is uniformly distributed between 8:00AM and 8:50AM, which means that J ~ U(480, 530) (measured in minutes past 12:00AM).
Similarly, T is uniformly distributed between 8:00AM and 8:30AM, which means that T ~ U(480, 510).
We want to find the probability that they meet, which means that Jordan arrives before Taylor leaves (within 10 minutes of Taylor's arrival time). Let's assume that Taylor arrives at time t (measured in minutes past 12:00AM). Then, Jordan needs to arrive between t-10 and t in order to meet Taylor.
The probability of this happening is:
P(J ∈ [t-10, t]) = (t - (t-10)) / (530 - 480) = 10/50 = 0.2
Since Taylor's arrival time is also uniformly distributed, we need to take the average of this probability over all possible values of t between 480 and 510:
P(meeting) = E[P(J ∈ [t-10, t])] for t ∈ [480, 510]
P(meeting) = (1/31) ∫₄₈₀ ⁴⁹⁰ [0.2] dt + (1/31) ∫₄₉₀ ⁵₀₀ [0.2] dt + (1/31) ∫₅₀₀ ⁵₁₀ [0.2] dt
P(meeting) = (1/31) [((0.2)(10)) + ((0.2)(20)) + ((0.2)(30))]
P(meeting) = 0.1935
Therefore, the probability that Jordan and Taylor meet is approximately 0.1935, which is between 16% and 22%.
Therefore, the answer is option 3: at least 22%, but less than 29%.
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