Hi guys,I've been trying to solve this for 20 minutes, but still can't get the volume.Pls help I'll be really thankful ​

Step-by-step explanation:

let u represent the universal set

B represent biology

C represent chemistry

n(u)=36

n(b)=19

n(c)=16

n(bun)=5

n(bnn)=x

19-x+x+16-x+5=36

19+16-x+5=36

19+16+5-x=36

40-x=36

40-36=x

x=4

:.4 students read both biology and chemistry

number of students who read only chemistry is

16-x

but x=4

16-4

=12

:.12 students read only chemistry

22% of the population is left-eye dominant.

To find the percentage of the population that is left-eye dominant, we need to subtract the percentage of right-eye dominant individuals from 100%.

Given that 78% of the population is right-eye dominant, the percentage of left-eye dominant individuals can be calculated as:

Left-eye dominant percentage = 100% - Right-eye dominant percentage

Left-eye dominant percentage = 100% - 78%

Left-eye dominant percentage = 22%

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The result from project number 11 suggests that the drug may be effective in reducing the size of pancreatic tumors, but it is not sufficient to conclude definitively that the drug is effective using hypothesis.

The p-value of 0.027 indicates that if there were truly no effect of the drug, the probability of observing a result as extreme as or more extreme than what was observed in project number 11 would be 0.027. This suggests that the result is unlikely to have occurred by chance alone. However, it is possible that the result is a false positive or due to chance variation, especially given that 20 research projects were conducted. It would be important to replicate the result in additional studies and consider the overall body of evidence before concluding definitively that the drug is effective.

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The minimum amount of paper that Trevor needs to cover the entire cylindrical can is approximately 565.2 square centimeters, which is closest to 565 square centimeters.

The minimum amount of paper that Trevor needs to cover the entire cylindrical can can be calculated by using the formula for the lateral surface area of a cylinder. Here's how to solve this problem: Given that the can is 18 centimeters tall and has a radius of 5 centimeters. Therefore, the diameter of the can be calculated as follows:

Diameter = 2 x Radius = 2 x 5 = 10 centimeters

The lateral surface area of the cylinder is given by:

Lateral surface area of cylinder = 2πrh

where, π is the mathematical constant pi (3.14)

r is the radius of the base

h is the height of the cylinder

Substituting the given values, we get:

Lateral surface area of cylinder = 2 x 3.14 x 5 x 18 = 565.2 square centimeters (rounded to one decimal place)

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The drop-outs thinks learning real skills would have provided them with better opportunities for employment and financial stability.

The high school dropouts express the sentiment that if they had been given the opportunity to learn practical skills that could directly contribute to their ability to earn a living, they would have chosen to stay in school.

This belief stems from the understanding that possessing tangible skills valued by employers increases their chances of securing gainful employment and achieving financial independence. By focusing on real-world skills, they feel they would have been better prepared for the job market and able to navigate the challenges of adulthood with greater ease.

Full question "Eighty percent of students who dropped out of high school said that they would have stayed in school if they had the opportunity to learn real skills that would help them earn a living. Why do they say so?"

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The survey is numerical because it involves gathering information about the amount of money spent on groceries.

The given survey about the amount of money spent on groceries can be classified as follows:

Because data on how much was spent on food is being gathered, the survey is numerical. Numerical data deals with quantitative measurements or values.

The survey can be considered univariate since it focuses on a single variable, which is the amount of money spent on groceries.

Thus, univariate data analysis involves examining and summarizing data related to a single variable.

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To find the probability that a randomly selected household owns neither a cell phone nor an iPad, we need to subtract the probability of owning at least one device from 1.

First, we can find the percentage of households that own at least one device:  65% own a cell phone , 23% own an iPad , 12% own both
To find the percentage that own at least one device, we add the percentages of cell phone and iPad owners and then subtract the percentage that own both:  65% + 23% - 12% = 76%
Therefore, 76% of households own at least one device.
To find the percentage of households that own neither device, we subtract 76% from 100%: 100% - 76% = 24%
So the probability that a randomly selected household owns neither a cell phone nor iPad is 24%.

In summary, the three paragraph answer is: The probability that a randomly selected household owns neither a cell phone nor iPad in a certain town is 24%. Therefore, the probability that a randomly selected household owns neither a cell phone nor an iPad is 100% - 76%, which equals 24%.

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Answer:

It's C

Step-by-step explanation:

You have two times 0 the the 2 points on 0 shows this,.....

It provides a range of values within which the true percentage is likely to fall with a 90% level of confidence based on the Sample data.

Based on the confidence interval of (0.42, 0.48), the claim that is not supported is that less than 42% of all women do not find time to focus on their own health. This is because the lower bound of the interval is 0.42, indicating that at worst, 42% of all women do not find time to focus on their own health. Therefore, any claim that suggests a lower percentage is not supported by the confidence interval.

On the other hand, the confidence interval does support claims that suggest the percentage of women who do not find time to focus on their own health is at least 42% and no more than 48%. For example, a claim that states "between 42% and 48% of all women do not find time to focus on their own health" is supported by the confidence interval.

It is important to note that the confidence interval does not tell us anything about the actual percentage of women who do not find time to focus on their own health. Rather, it provides a range of values within which the true percentage is likely to fall with a 90% level of confidence based on the sample data.

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To compute anx from the given formula for x for any arbitrary n>0, we need to first determine the values of a1, a2, a3,...an. Once we have these values, we can substitute them into the formula and solve for x. However, since we don't have any information about the values of a1, a2, a3,...an, we cannot provide an exact solution for x.

Regarding the second part of your question, i.e., finding a good approximation for anx when n is large, we can make use of the concept of content loaded linear algebra. Specifically, we can use the principle of least squares to find the best fit line for a set of data points. In this case, the data points would correspond to the values of anx for different values of n.

Once we have the best fit line, we can use it to make predictions about the value of anx for large values of n. However, it's important to note that this will only be an approximation and not an exact solution.

In summary, to compute anx from the given formula, we need to determine the values of a1, a2, a3,...an. To find a good approximation for anx for large values of n, we can use the principle of least squares to find the best fit line for a set of data points.

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Answer:

Step-by-step explanation:

Plug in the values of m and b that we found: y = -4x + 2  So, the equation of the line that passes through (0, 2) and (-3, 14) in slope-intercept form is y = -4x + 2.

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There is a probability of  1/17,576 that the 3 tiles will be A, B, and C

Given data ,

A bag contains 26 tiles, each with a different letter of the alphabet written on it

Now , you choose 3 tiles from the bag without looking

Let the probability be represented as P ( A )

where the probability of choosing a letter = 1/26

So , probability that you choose the tiles with the letters A, B, and C is

P ( A ) = 1/26 x 1/26 x 1/26

P ( A ) = 1/17,576

Hence , the probability is  1/17,576

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The combined cost of the notebooks and the pens will be; $5.5

We have been Given that Kendall bought 6 notebooks and 3 pens for a total of $27. The cost of one notebook is $1.50 more than the cost of one pen.

The two equations can be written;

6N + 3 P = 27

n = 1.5 +P

Solve the above equations by substitution method;

6(1.5 + P) + 3P = 27

9 +6p +3p = 27

9p = 18

p (pen): $2

N (notebook): $3.5

The combined cost will be;

Cost = 2 + 3.5

Cost = $5.5

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the probability of picking a pitcher from the remaining cards is still 7/24. The probability that the next card Leslie looks at will be a pitcher is 7/24.

Leslie randomly looked at 24 cards out of 300, and she saw that 7 of them were pitchers. So, the probability of picking a pitcher from those 24 cards is 7/24. Since the remaining cards are still part of the same deck, and Leslie did not replace any of the cards she looked at, the probability of picking a pitcher from the remaining cards is still 7/24. Therefore, the probability that the next card Leslie looks at will be a pitcher is 7/24.

Step 1: Determine the total number of cards Leslie looked at, which is 24 (8 outfielders + 7 pitchers + 4 catchers + 5 infielders).
Step 2: Identify the number of pitchers, which is 7.
Step 3: Calculate the probability of picking a pitcher by dividing the number of pitchers by the total number of cards: 7 pitchers / 24 cards = 0.2917, or 29.17% when expressed as a percentage.

So, based on the data, the probability that the next card Leslie looks at will be a pitcher is approximately 29.17%.

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To find the maximum value of a and the minimum value of b, we need to solve the equation 9+9x-x²-x³ = k for x and then determine the range of values for k where the equation has only one solution.

First, we can rearrange the equation to get:

x³ + x² - 9x - (k - 9) = 0

We can then use the rational root theorem to find the possible rational roots of this polynomial equation. The possible rational roots are of the form p/q, where p is a factor of the constant term (k - 9) and q is a factor of the leading coefficient (1). The factors of (k - 9) are ±1, ±3, ±(k-9), and the factors of 1 are ±1. So the possible rational roots are:

±1, ±3, ±(k-9), ±(k-9)/3

We can test each of these possible roots by plugging them into the equation and checking if the result is zero. After testing each possible root, we find that the only root that works is x = 3. Therefore, the equation has only one solution when x = 3.

To determine the range of values for k where the equation has only one solution, we can substitute x = 3 into the equation:

9 + 9(3) - 3² - 3³ = k

Simplifying this, we get:

k = -9

So the equation has only one solution when k = -9. Now, we need to find the maximum value of a and the minimum value of b for this value of k.

For k < -9, the equation has no real solutions, since the equation is a cubic polynomial with a negative leading coefficient, which means it has a local maximum and a local minimum. Therefore, the maximum value of a is -9.

For k > -9, the equation has three real solutions, since the equation is a cubic polynomial with a negative leading coefficient, which means it has a local maximum and a local minimum, and crosses the x-axis three times. Therefore, the minimum value of b is -9.

So the maximum value of a is -9 and the minimum value of b is -9.

By calculating the residuals (e_i) for each observation in the dataset and minimizing their sum of squares, we can estimate the regression coefficients (b_0, b_1, b_2) using various regression techniques such as ordinary least squares.

To calculate the residual score for the dependent variable y in the regression equation, we need to subtract the predicted value of y from the actual observed value of y. The regression equation with subscripts to calculate the residual score for y is:

e_i = y_i - (b_0 + b_1 * x_1i + b_2 * x_2i)

where:

e_i is the residual score for the i-th observation of y,

y_i is the actual observed value of y for the i-th observation,

b_0 is the intercept coefficient,

b_1 is the coefficient for the first independent variable x_1,

x_1i is the value of the first independent variable for the i-th observation,

b_2 is the coefficient for the second independent variable x_2,

x_2i is the value of the second independent variable for the i-th observation.

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(a) The system of equations that models the situation is:

x + y = 24

y = 2x + 3

(b) Juliet spends 7 hours coaching lacrosse and 17 hours coaching field hockey each day.

To model the situation, we can define the following variables:

Let x be the number of hours Juliet coaches lacrosse.

Let y be the number of hours Juliet coaches field hockey.

From the given information, we can create a system of equations:

The total coaching hours: x + y = 24

The field hockey practice duration: y = 2x + 3

To determine how many hours Juliet spends coaching each sport, we can solve the system of equations.

First, we'll substitute the value of y from equation 2 into equation 1:

x + (2x + 3) = 24

3x + 3 = 24

3x = 21

x = 7

Now, we can substitute the value of x back into equation 2 to find y:

y = 2(7) + 3

y = 14 + 3

y = 17

Juliet spends 7 hours coaching lacrosse and 17 hours coaching field hockey each day.

To verify our solution, we can check if the total coaching hours add up to 24:

7 + 17 = 24

The sum is indeed 24, confirming that our solution is correct.

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The number n must be greater than or equal to 2.65 and less than 2.75 in order to round to 2.7 when rounded to one decimal place

If a number n rounded to one decimal place is 2.7, then we know that n lies between two numbers:

The lower bound is the number that is 0.05 less than 2.7, which is 2.65 (since the digit in the second decimal place is 5 or greater, we round up the last digit in the first decimal place).

The upper bound is the number that is 0.05 greater than 2.7, which is 2.75 (since the digit in the second decimal place is 5 or greater, we round up the last digit in the first decimal place).

Therefore, we can write the inequality as:

2.65 ≤ n < 2.75

This means that n must be greater than or equal to 2.65 and less than 2.75 in order to round to 2.7 when rounded to one decimal place.

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The points that are on the line given by the equation y = x - 2 include the following:

A. Point A: (4, 2)

B. Point B. (1, -1)

D. Point D. (-2, -4)

In Mathematics and Geometry, the slope-intercept form of the equation of a straight line is given by this mathematical equation;

y = mx + c

Where:

Based on the information provided above, a linear equation that models the situation is given by;

y = mx + c

y = x - 2

When x = -2, the y-value can be determined as follows;

y = -2 - 2

y = -4

Therefore, the ordered pair (-2, 1) does not lie on this equation.

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Therefore, the probability of finding a sample mean of 109 or higher by chance is 1%.

We can use the central limit theorem to approximate the sampling distribution of the sample mean. The sampling distribution will also be normal with a mean of 100 and a standard deviation of (14 / sqrt(32)) ≈ 2.48.

To find the probability of finding a sample mean of 109 or higher by chance, we can standardize the sample mean:

z = (x - μ) / (σ / sqrt(n))

z = (109 - 100) / (14 / sqrt(32))

z = 2.33

Using a standard normal distribution table or calculator, we can find that the probability of a z-score of 2.33 or higher is approximately 0.01 or 1%.

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To convert other bases to base ten in binary​, we multiply the base to the exponent of the position of the number and take the sum

From the question, we have the following parameters that can be used in our computation:

Numbers in other bases to base ten

To do this we use the product rule

Take for instance, we want to convert the binary number 1011 to base ten.

This means that we are converting from base 2 to base 10

Using the above as a guide, we have the following:

1011₂ = 1 * 2³ + 0 * 2² + 1 * 2¹ + 1 * 2⁰

Evaluate

1011₂ = 13

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Answer:

√y = ¼ x² + 2

y = (¼ x² + 2)²

Step-by-step explanation:

dy / dx = x √y

Separate the variables:

dy / √y = x dx

Change radical to exponent:

y^-½ dy = x dx

Integrate both sides using power rule:

2 y^½ = ½ x² + C

2√y = ½ x² + C

Substitute initial condition:

2√9 = ½ (2)² + C

6 = 2 + C

C = 4

Therefore:

2√y = ½ x² + 4

√y = ¼ x² + 2

y = (¼ x² + 2)²

We can reject the null hypothesis and conclude that there is a significant difference in the average customer satisfaction ratings between Home Depot and Lowe's.

What is hypothesis?

A hypothesis is a proposed explanation or prediction that can be tested through empirical investigation.

To test the difference in the average customer satisfaction rating for Home Depot and Lowe's, we can perform a two-sample t-test. Let's go through the steps of conducting the hypothesis test:

Step 1: State the hypotheses:

Null Hypothesis (H₀): The average customer satisfaction rating for Home Depot is equal to the average customer satisfaction rating for Lowe's.

Alternative Hypothesis (H₁): The average customer satisfaction rating for Home Depot is different from the average customer satisfaction rating for Lowe's.

Step 2: Set the significance level (α):

Let's assume a significance level of α = 0.05. This means we want to have strong evidence to reject the null hypothesis if the p-value is less than 0.05.

Step 3: Collect the data and calculate the sample statistics:

We have the following customer satisfaction ratings:

Home Depot: 79, 81

Lowe's: 72, 78, 79, 76, 72

To calculate the sample statistics, we need to find the sample means and sample standard deviations for Home Depot and Lowe's.

Sample mean of Home Depot [tex](\bar x_1)[/tex] = (79 + 81) / 2 = 80

Sample mean of Lowe's [tex](\bar x_2)[/tex] = (72 + 78 + 79 + 76 + 72) / 5 = 75.4

To calculate the sample standard deviations, we need to find the differences between each rating and the respective sample mean, square the differences, sum them up, divide by n-1, and then take the square root.

Home Depot: [(79-80)² + (81-80)²] / (2-1) = 1 / 1 = 1

Lowe's: [(72-75.4)² + (78-75.4)² + (79-75.4)² + (76-75.4)² + (72-75.4)²] / (5-1) = 16.8 / 4 = 4.2

Step 4: Calculate the test statistic:

To calculate the test statistic, we use the formula:

[tex]t = (\bar x_1 - \bar x_2) / \sqrt((s_1^2/n_1) + (s_2^2/n_2))[/tex]

Substituting the values:

[tex]t = (80 - 75.4) / \sqrt{((1^2/2) + (4.2^2/5))}\\\\t = 4.6 / \sqrt(0.5 + 1.68)[/tex]

t ≈ [tex]4.6 / \sqrt(2.18)[/tex]

t ≈ 4.6 / 1.476

t ≈ 3.116

Step 5: Determine the p-value:

We need to find the p-value associated with the calculated test statistic. Since this is a two-sided test, we need to find the probability of observing a test statistic as extreme as t = 3.116 or more extreme in either tail of the t-distribution.

Using a t-distribution table or statistical software, the p-value is found to be p ≈ 0.021.

Step 6: Make a decision:

Compare the p-value to the significance level. Since the p-value (0.021) is less than the significance level (0.05), we have enough evidence to reject the null hypothesis.

Step 7: State the conclusion:

Based on the sample data, there is sufficient evidence to conclude that the average customer satisfaction rating for Home Depot is different from the average customer satisfaction rating for Lowe's at a significance level of 0.05.

Therefore, we can reject the null hypothesis and conclude that there is a significant difference in the average customer satisfaction ratings between Home Depot and Lowe's.

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The independent variable in Sabrina's experiment is the brand of popcorn.

An independent variable is a variable that is manipulated by the experimenter and is expected to cause a change in the dependent variable. In this case, Sabrina wants to see which brand of popcorn pops the most kernels, so she is manipulating the brand of popcorn by testing three different brands: store brand, Orville Redenbacher, and PopSecret. The dependent variable in this experiment is the number of kernels left over after popping for 3 minutes in the same microwave. This variable is expected to change based on the brand of popcorn being tested. By manipulating the independent variable and measuring the resulting changes in the dependent variable, Sabrina can determine which brand of popcorn pops the most kernels.

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The volume of the pyramid is 8 [tex]in^{2}[/tex]

Pyramid is a polygonal base and flat triangular faces, which join at a common point called the apex. A pyramid is formed by connecting the bases to an apex.

How to determine this

Volume of pyramid = 1/3 * Base area * Height

Base area = 4 inches square

Height = 4 inches

Volume of pyramid = 1/3 * 4 * 6

Volume of pyramid = 1/3 *24

Volume of pyramid = 24/3

Volume of pyramid = 8 [tex]in^{3}[/tex]

Therefore, the volume of the pyramid is 8 [tex]in^{3}[/tex]

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The number of batches of cookies the factory made was 6.

Since, The fractions are represented as a numerical value, which defines a part of a whole. A fraction is a portion or section of any quantity out of a whole, where the whole can be any number, a specific value, or a thing.

Given that,

a cookie factory uses 1 1/5 of a barrel of oatmeal in each batch of cookies.

And, The factory is use 9 3/5 of a barrel of oatmeal yesterday.

Now, We can formulate;

Number of batches of cookies did the factory make,

= 9 3/5 ÷  1 1/5

= 48/5 ÷ 6/5

= 48/5 x 5/6

= 6

Therefore, the number of batches of cookies the factory made was 6.

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Answer:

I'm not the best at explaining but here it is...

Step-by-step explanation:

on each side of a line, there are 2 angles. These angles match the ones on the other side of the line. So with that and what we know. We can figure it out.

m<1 is 40. M<4 is opposite of this angle witch makes it the same size. That makes m<4 alo 40.

m<3 is 140. M<2 is opposite of this angle making it the same. This makes m<2 also 140.

now we move down to the bottom 4 angles. These are the same as the top 4 making the values the same.

for a more simple view of the answers...

m<1 is 40

m<2 is 140

m<3 is 140

m<4 is 40

m<5 is 40

m<6 is 140

m<7 is 140

m<8 is 40

Answer:

y = 1/3 i hope this is what you're looking for!

In order to calculate the probability of rolling a 3, we need to determine the number of times a 3 appears in the outcomes compared to the total number of rolls.

Looking at the table, we see that the number 3 appears twice, and there are a total of 20 rolls. Therefore, the probability of rolling a 3 is 2/20 or 1/10. In summary, the probability of rolling a 3 based on the data provided is 1/10. This can be calculated by dividing the number of times a 3 appears (which is 2) by the total number of rolls (which is 20).

Based on the data provided, the probability of rolling a 3 is 1/10. This is calculated by dividing the number of times a 3 appears (which is 2) by the total number of rolls (which is 20). Therefore, the likelihood of rolling a 3 is relatively low.

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