the manufacturer's suggested retail prices for the two models show a price differential. use a level of significance and test that the mean difference between the prices of the two models is .

The option that is next in the series will be option D. The Pentagon.

The next step in the series will be option D. The first circle has a vertical line with two points while the second circle has a triangle with three points.

The third circle has a shape with four points, and given this series, we can predict that the fourth circle will have a shape with five points. Option D satisfies this condition as it has a pentagon with five sides. There are five dotted points that prove that the figure is a pentagon.

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The measure of angle O is 27 degrees

To determine the value, we need to know the law of sines

The law of sines is represented as;

sin A/a = sin B/b = sin C/c

Such that the parameters are expressed as;

From the information given, we have that;

o = 850 cm, q = 800 cm and ∠Q=25°.

Substitute the values, we have;

sin O/850 = sin 25/800

cross multiply the values, we get;

sin O = sin 25 (850)/800

find the value and multiply

sin O = 359. 22/800s

sin O = 0.4490

find the inverse

O = 26. 7 degrees

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The heavy marble using a two-pan balance, the minimum number of weighings required is two.

Here's how you can do it:

Divide the eight marbles into two groups of four.

Weigh the two groups against each other.

If the two groups weigh the same, the heavy marble is one of the remaining four marbles. Proceed to step 3.

If one group weighs more, the heavy marble is in that group. Proceed to step 3.

Divide the four marbles from the heavier group into two groups of two.

Weigh the two groups of two against each other.

If the two groups weigh the same, the heavy marble is one of the remaining two marbles. Proceed to step 5.

If one group weighs more, the heavy marble is in that group. Proceed to step 5.

Weigh the remaining two marbles against each other.

The heavier marble is the heavy marble.

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Since 23² is less than 12² + 20², we can conclude that the values 12, 20, and 23 do not create a right triangle.

To determine if the values 12, 20, and 23 create a right triangle, we can use the Pythagorean theorem, which states that for any right triangle, the square of the length of the hypotenuse (the side opposite the right angle) is equal to the sum of the squares of the lengths of the other two sides.

So, we can calculate:

12² + 20² = 144 + 400 = 544

23² = 529

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Answer:

8

Step-by-step explanation:

3.2 times 1.8 is 5.76. so you just add up their powers to get answer

The answer will be 5.76x 108

We are given,(3.2 x 103)(1.8 x 105)

Now, (3.2 x 1.8) (103 x 105)

5.76 x 108

The vector operations in ascending order of the magnitudes of their resultant vectors is 47 < √89 < √241

To do this, we need to perform various vector operations, such as addition and subtraction, and then calculate the magnitude of the resultant vector. The magnitude of a vector is a scalar quantity that represents the length or size of the vector and is calculated using the Pythagorean theorem.

Let's start by adding two vectors. The addition of vectors u and v can be calculated as follows:

u + v = (9,-2) + (-1,7) = (8,5)

To find the magnitude of the resultant vector, we can use the Pythagorean theorem:

|u + v| = √(8² + 5²) = √89

Next, let's subtract two vectors. The subtraction of vectors v and w can be calculated as follows:

v - w = (-1,7) - (-5,-8) = (4,15)

Again, to find the magnitude of the resultant vector, we can use the Pythagorean theorem:

|v - w| = √(4² + 15²) = √241

Finally, let's calculate the dot product of two vectors. The dot product of vectors u and w can be calculated as follows:

u · w = (9,-2) · (-5,-8) = -47

The magnitude of the dot product of two vectors is equal to the product of their magnitudes and the cosine of the angle between them. Since the angle between vectors u and w is obtuse (greater than 90 degrees), the cosine of the angle is negative. Therefore, the magnitude of the dot product is:

|u · w| = |-47| = 47

Now that we have calculated the magnitudes of the resultant vectors for each operation, we can arrange them in ascending order:

|u · w| < |u + v| < |v - w|

47 < √89 < √241

Therefore, the dot product of vectors u and w results in the smallest magnitude, followed by the addition of vectors u and v, and finally, the subtraction of vectors v and w results in the largest magnitude.

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Answer:

-2

Step-by-step explanation:

This graph is a graph of f, that states it is equal to g'. We're graphing the first derivative, so that means g(3) is the integral of f, or the area under the curve. g'(3) is just asking for the y value that corresponds to the x value of f, because f and g' are equal.

g = ∫f

g' = f

And by extension,

g'' = f'

Because we're looking at a graph of f, finding f' is just finding the slope at f(3). Rise over run, -2 over 1, so g''(x) = f'(x) = -2

Option A suggests that a distinctly curved pattern in the residual plot may indicate that the relationship between the explanatory and response variable is not linear, and a non-linear model may be more appropriate.

Hence option A is correct.

(a) The residual plot has a distinctly curved shape:

A curved pattern in the residual plot, resembling a parabola or a

U-shape, usually suggests that the relationship between the explanatory variable and response variable is not linear and that a non-linear model may be more appropriate.

(b) The residual plot shows a group of randomly scattered points:

A randomly scattered pattern in the residual plot indicates that the linear regression model is a good fit for the data, and that there are no obvious patterns or trends left in the residuals.

(c) The histogram of residuals is skewed to the right:

A skewed histogram of residuals suggests that the residuals are not normally distributed and may violate the assumption of normality. This can be problematic for inference and can impact the accuracy of hypothesis tests or confidence intervals.

(d) Small values of the explanatory variable are associated with small residuals and large values of the explanatory variable are associated with large residuals:

This pattern indicates that the model may be exhibiting heteroscedasticity, where the variability of the residuals changes as the explanatory variable changes. This can lead to biased and inconsistent estimates of the regression coefficients.

(e) The scatterplot has a distinctly curved shape:

Similar to option (a), a curved shape in the scatterplot indicates that a non-linear model may be more appropriate for the data.

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Here is a possible program that meets the requirements: import java.util.Scanne imporjava.util.InputMismatchException; public class RestaurantOccupancy {
  public static void main(String[] args) {
     Scanner input = new Scanner(System.in);
     int occupancy = 0;
 

The program starts by importing the Scanner and InputMismatchException classes from the java.util package.

In the main method, we declare a Scanner object named input and an integer variable named occupancy initialized to 0.

The program enters a while loop that continues as long as the occupancy is less than 10. Inside the loop, we prompt the user to enter the number of people entering or leaving the restaurant, read the input as an integer using input.nextInt(), and store it in a variable named delta.

We then add delta to the occupancy variable to update the current occupancy, and print it to the console using System.out.println(). If an InputMismatchException is thrown (i.e., the user enters a non-integer value), we catch the exception, read the next token as a string using input.next(), and print an error message to the console.

Once the occupancy reaches or exceeds 10, the while loop exits, and we print a message indicating that the occupancy limit has been reached and the program is exiting.
Here is a step-by-step explanation for a program that meets the described requirements:

1. Import the necessary libraries:
```java
import java.util.Scanner;
import java.util.InputMismatchException;
```

2. Create a class and the main method:
```java
public class RestaurantOccupancy {
   public static void main(String[] args) {
```

3. Initialize the required variables and create a Scanner object for reading input:
```java
       int occupants = 0;
       int change;
       Scanner input = new Scanner(System.in);
```

4. Create a loop that continues until the number of occupants equals or exceeds 10:
```java
       while (occupants < 10) {
```

5. Use a try-catch block to handle the `InputMismatchException` exception:
```java
           try {
               change = input.nextInt();
               occupants += change;
               System.out.println("Number of people in the restaurant: " + occupants);
           } catch (InputMismatchException e) {
               input.next(); // Discard the invalid input
           }
```

6. Close the while loop, Scanner object, and the main method:
```java
       }
       input.close();
   }
}
```


       while (occupants < 10) {
           try {
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The standard deviation for the given sample data is 2.83.

To calculate the standard deviation, we first need to calculate the mean of the sample data:

Next, we calculate the deviation of each data point from the mean:

Then, we square each deviation:

Next, we calculate the sum of squared deviations:

To calculate the variance, we divide the sum of squared deviations by the sample size minus one:

Finally, we calculate the standard deviation by taking the square root of the variance:

Therefore, the standard deviation for the given sample data is 2.83. This tells us how spread out the data points are from the mean, with most data points being within 2.83 units of the mean.

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Answer: 7/74

Step-by-step explanation:

P(G)=15/37*14/36

      = 1/37*7/2

      = 7/74

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the researcher can conclude that private hospitals pay more than government-owned hospitals based on the sample data.

To test whether private hospitals pay more than government-owned hospitals, we can use a two-sample t-test with equal variances.

The null hypothesis is that there is no difference in mean salary between the two groups:

H0: μprivate = μgovernment

The alternative hypothesis is that private hospitals pay more than government-owned hospitals:

Ha: μprivate > μgovernment

We can use a significance level of 0.01, which corresponds to a critical value of t = 2.364 (with degrees of freedom = 898).

First, we need to calculate the pooled standard deviation:

Sp = sqrt(((n private - 1)s^2private + (n government - 1)s^2government) / (n private + n government - 2))

where n private and n government are the sample sizes, s^2private and s^2government are the sample variances, and s^2pooled is the pooled variance.

Plugging in the values, we get:

Sp = sqrt(((100-1) * 186^2 + (800-1) * 176^2) / (100 + 800 - 2)) = 176.43

Next, we calculate the test statistic:

t = (x(bar)private - x(bar)government) / (Sp * sqrt(1/n private + 1/n government))

where x(bar)private and x(bar)government are the sample means.

Plugging in the values, we get:

t = (26,800 - 25,400) / (176.43 * sqrt(1/100 + 1/800)) = 3.14

Since our test statistic (3.14) is greater than the critical value (2.364), we reject the null hypothesis and conclude that private hospitals pay more than government-owned hospitals at a significance level of 0.01.

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a)  diagram: nitrogen - oxygen - argon - carbon dioxide

b) {L, A, P, T, O} represented as diagram: L - A - P - O - T

c) {1, 2, 3, 4, 5, 6, 7, 8, 9} represented as {1...9}

d) {4, 6, 8, 9} represented as diagram: 4 - 6 - 8 - 9

a) The collection of four gases found in the atmosphere can be represented as the set {nitrogen, oxygen, argon, carbon dioxide}. The set can be diagrammatically represented as:

      nitrogen

        /    \

oxygen   argon

      \      /

 carbon dioxide

b) The collection of letters of the word 'LAPTOP' can be represented as the set {L, A, P, T, O}. The set can be diagrammatically represented as:

     L

     |

     A

     |

P--O--T

c) The collection of natural numbers less than 10 can be represented as the set {1, 2, 3, 4, 5, 6, 7, 8, 9}. The set can be diagrammatically represented as:

{1, 2, 3, 4, 5, 6, 7, 8, 9}

d) The collection of composite numbers less than 10 can be represented as the set {4, 6, 8, 9}. The set can be diagrammatically represented as:

   4 -- 6 -- 8

       |

       9

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The quadratic equation that does not have a real solution is −9x² + 8x − 8 = 0. Then the correct option is C.

A quadratic equation does not have a real solution when its discriminant (b² - 4ac) is negative. Therefore, we can find which of the given equations does not have a real solution by calculating the discriminant for each equation.

a) 9x² + 6x + 1 = 0

D = b² - 4ac

D = 6² - 4(9)(1)

D = 36 - 36

D = 0

Since the discriminant is not negative, this equation has two real solutions.

b) −7x² + 8x = 0

D = 8² - 4(-7)(0)

D = 92

Since the discriminant is not negative, this equation has two real solutions.

c) −9x² + 8x − 8 = 0

D = 8² - 4(-9)(-8)

D = -224

Since the discriminant is negative, this equation has two non-real solutions.

d) 4x² − 8x + 4 = 0

D = (-8)² - 4(4)(4)

D = 64 - 64

D = 0

Since the discriminant is zero, this equation has one real solution (a double root).

Therefore, the quadratic equation that does not have a real solution is option (a) 9x² + 6x + 1 = 0.

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Answer:

Original price is $274

Step-by-step explanation:

Let

x = Original price of calculator ($)

Percentage decrease = [tex]\frac{Original Price - New Price}{Original Price}[/tex]× [tex]100[/tex]%

                              31% = [tex][\frac{x - 189.06}{x}][/tex] × [tex]100[/tex]%

                              [tex]\frac{31}{100}[/tex]  = [tex]\frac{x - 189.06}{x}[/tex]

                             0.31 = [tex]\frac{x - 189.06}{x}[/tex]

Cross-multiplication is applied:

                       [tex](0.31)(x)[/tex] = [tex](1)(x - 189.06)[/tex]

  Distributive Law is applied to expand the brackets or parentheses:

                            [tex]0.31x[/tex] = [tex]x - 189.06[/tex]

Like terms are brought together. At the same time, the unknown variable

x is isolated and made subject of the equation:

                          [tex]189.06[/tex] = [tex]x - 0.31x[/tex]

                          [tex]189.06[/tex] = [tex]0.69x[/tex]

                                [tex]x[/tex]  = [tex]\frac{189.06}{0.69}[/tex]

∴ x = Original price of the calculator = $274

Production system involves the machinery and assembly lines used to create products.

The correct option is (b)

The mass production process constitutes assembly lines and automation technology to provide goods in bulk. The main features of mass production include division of labor as each production process requires a different machine, a smooth flow production with product flow clearly defined, standardization to achieve high quality, and high startup costs due to the many resources required before operations.

The manufacturing system is responsible for the production of goods and materials. It is a complex system that involves the coordination of resources, machines, and workers in order to produce finished products.

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The probability that a vehicle will weigh more than 4,000 pounds is 0.20 or 20%.

(a) The mean weight of a randomly chosen vehicle can be calculated as the average of the minimum and maximum weights:

Mean = (2500 + 4500)/(2)

= 3500$ pounds

Therefore, the mean weight of a randomly chosen vehicle is 3500 pounds.

(b) The standard deviation of a uniformly distributed random variable is given by:

SD = (b-a)/√12

where a is the minimum value and b is the maximum value of the distribution. Substituting the given values, we get:

SD = 4500- 2500/ √12

= 433.01$ pounds

Therefore, the standard deviation of a randomly chosen vehicle is approximately 433.01 pounds.

(c) To find the probability that a vehicle will weigh less than 3,000 pounds, we need to calculate the proportion of the total area under the probability density function (PDF) that lies to the left of 3,000 pounds. Since the distribution is uniform, the PDF is a horizontal line with a height of (b-a) over the interval from a to b. Therefore, the probability can be calculated as:

P(X < 3000) = (3000-2500)(4500-2500)

= 1/4

= 0.25$

Therefore, the probability that a vehicle will weigh less than 3,000 pounds is 0.25 or 25%.

(d) To find the probability that a vehicle will weigh more than 4,000 pounds, we need to calculate the proportion of the total area under the PDF that lies to the right of 4,000 pounds. Again, since the distribution is uniform, the PDF is a horizontal line with a height of 1/(b-a) over the interval from a to b. Therefore, the probability can be calculated as:

P(X > 4000) = 1 - P(X >= 4000)

= 1 / (4000-2500)(4500-2500)

= 1/5

= 0.20$

Therefore, the probability that a vehicle will weigh more than 4,000 pounds is 0.20 or 20%.

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Complete question:

Assume the weight of a randomly chosen American passenger car is a uniformly distributed random variable ranging from 2,500 pounds to 4,500 pounds.

(a) What is the mean weight of a randomly chosen vehicle?

(b) What is the standard deviation of a randomly chosen vehicle? (Round your answer to 4 decimal places.)

(c) What is the probability that a vehicle will weigh less than 3,000 pounds? (Round your answer to 2 decimal places.)

(d) What is the probability that a vehicle will weigh more than 4,000 pounds? (Round your answer to 2 decimal places.)

The arithmetic mean of the real and imaginary parts of z is approximately 0.8227 + 0.2643i.

Find the value of w²⁰ and then raise it to the 10th power:

w² = (½ + 3/2i)² = ¼ + 3/2i + 9/4 = 5/2 + 3/2i

So, w²⁰ = (w²)¹⁰ = (5/2 + 3/2i)¹⁰

Now, let z equate w²⁰:

z³ = w²⁰

Substitute the expression for w²⁰:

z³ = (5/2 + 3/2i)¹⁰

Find z by taking the cube root from both sides:

z = (5/2 + 3/2i)¹⁰^(⅓)

Using 10^(⅓) = 2.1544 to calculate z:

z = (5/2 + 3/2i)^2.1544

z ≈ 1.6454 + 0.5287i

The arithmetic mean of the real and imaginary parts of z is:

(mean) = (1.6454 + 0.5287i)/2

(mean) ≈ 0.8227 + 0.2643i

Therefore, the arithmetic mean of the real and imaginary parts of z is approximately 0.8227 + 0.2643i.

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a. The gaps to fill after factorizing the expression is: 2x² + 15x + 7 = (2x + 1)(x + 7).

b. The solution of the expression is: x = 1/2 or x = -7.

a. Given the expression 2x² + 15x + 7, we can factorize this expression by first doing the following:

Apply the sum-product pattern:

2x² + 14x + x + 7

Create Pairs and take out common factor from them:

(2x² + 14x) + (x + 7)

2x(x + 7) +1(x + 7)

Rewrite the above in factor form:

2x² + 15x + 7 = (2x + 1)(x + 7)

b. Using the answer in part a, we would solve 2x² + 15x + 7 = 0 as shown below:

(2x + 1)(x + 7) = 0

2x + 1 = 0

2x = 1

x = 1/2

x + 7 = 0

x = -7

Therefore, the solution is: x = 1/2 or x = -7.

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the maximum percentage of women who weigh more than 201.2 pounds is 1.39%.

To find the minimum percentage of 19 year old women who weigh between 96.0 and 201.2 pounds, we need to standardize the values using the formula:

z = (x - μ) / σ

where:

x = weight value

μ = mean weight

σ = standard deviation

For x = 96.0 pounds:

z = (96.0 - 148.6) / 23.9

z = -2.21

For x = 201.2 pounds:

z = (201.2 - 148.6) / 23.9

z = 2.21

We can use a standard normal distribution table or calculator to find the area between -2.21 and 2.21. The area is approximately 0.9545 or 95.45%.

Therefore, the minimum percentage of 19 year old women who weigh between 96.0 and 201.2 pounds is 95.45%.

To find the maximum percentage of women who weigh more than 201.2 pounds, we need to standardize the value of 201.2 pounds using the same formula:

z = (x - μ) / σ

z = (201.2 - 148.6) / 23.9

z = 2.21

We can use a standard normal distribution table or calculator to find the area to the right of 2.21. The area is approximately 0.0139 or 1.39%.

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Rearrange the equation from part A, we get y = (x - 1)^2 - 8

From the comlete question, the equation from part A

y = x^2 - 2x - 7

To rearrange the equation, we have the following

y = x^2 - 2x - 7

Set to 0

So, we have

x^2 - 2x - 7 = 0

This gives

x^2 - 2x = 7

Take the coefficient of x; divide it by 2 and then add the squared quotient to both sides

So, we have

x^2 - 2x + 1 = 7 + 1

Factorize

(x - 1)^2 = 8

So, we have

(x - 1)^2 - 8 = 0

Replace 0 with y

y = (x - 1)^2 - 8

Hence, the equation is y = (x - 1)^2 - 8

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The researcher may consider following up with non-respondents to encourage their participation and ensure the sample is as representative as possible.

The population of interest in this study is the students who graduated from the manicurist class in 2018 from WBI. The data collection process involves asking the question "Are you have a California State Board manicurist License yes or not?" to a sample of these students.

The potential source of bias in this study is sampling bias, as the technique used to obtain the sample may favor one part of the population over another. For example, if the researcher only selects students who were successful in the program, this may not be representative of the entire population of students who graduated from the program.

Non-response bias may also be a concern if some students do not respond to the survey, as their characteristics may differ from those who do respond. For example, if students who did not pass the licensing exam are less likely to respond to the survey, this may affect the accuracy of the results.

Response bias may also be a concern if students provide inaccurate or incomplete information in their responses. For example, if students who did not pass the licensing exam feel embarrassed or ashamed and are more likely to falsely claim that they have a license, this may affect the accuracy of the results.

To minimize these biases, the researcher should aim to obtain a random and representative sample of students who graduated from the program, and ensure that the survey questions are clear and unbiased. Additionally, the researcher may consider following up with non-respondents to encourage their participation and ensure the sample is as representative as possible.

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Answer:

2(1/2)(3)(4) + 2(4) + 2(5) + 2(3)

= 12 + 8 + 10 + 6 = 36 square feet

It is true that every invertible square matrix can be written as a product of elementary matrices. because, it depends on whether you are talking about invertible square matrices or all square matrices.

An elementary matrix is a matrix that can be obtained from the identity matrix by performing a single elementary row operation (such as swapping two rows, multiplying a row by a scalar, or adding a multiple of one row to another).

Moreover, any matrix that can be expressed as a product of elementary matrices is invertible.

However, not every square matrix is invertible, and so not every square matrix can be written as a product of elementary matrices. For example, the zero matrix cannot be written as a product of elementary matrices since it is not invertible.

So, it depends on whether you are talking about invertible square matrices or all square matrices.

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G. One sample t-test for a proportion.

E. Two sample t-test for means independent.

A. In scenario 1, the nutrition major is interested in comparing the mean IQ scores of two groups: those who like Ovaltine and those who don't. Since the sample size of the group who don't like Ovaltine is small (n=5), it's not appropriate to use a z-test. Instead, a one-sample t-test for a mean can be used to compare the mean IQ scores of those who like Ovaltine to a hypothesized population mean (which could be the population mean IQ score, assuming that Ovaltine preference doesn't affect IQ).

B. In scenario 2, the engineering major is interested in comparing the means of two independent groups (oak wood beams and elm wood beams) with equivalent standard deviations. Since the sample sizes are both 50 and the standard deviation of the population is unknown, a two-sample t-test for means can be used to compare the means of the two groups.

C. In a matched pairs difference in means scenario, each subject in a sample is paired with another subject based on some characteristic that affects the outcome of the study (such as age, weight, or gender). In this scenario, the difference in scores between each pair of subjects is calculated, and a one-sample t-test can be used to determine whether the average difference between the two groups is statistically significant.

D. In a two-sample z-test for means scenario, the researcher is interested in comparing the means of two independent groups with known population variances. This type of test is rarely used in practice since population variances are usually unknown.

E. In a two-sample t-test for means independent scenario, the researcher is interested in comparing the means of two independent groups with unknown population variances. This is the most commonly used test for comparing the means of two independent groups.

F. In a one-sample z-test for a proportion scenario, the researcher is interested in testing whether a sample proportion is significantly different from a hypothesized population proportion.

G. In a one-sample t-test for a proportion scenario, the researcher is interested in testing whether a sample proportion is significantly different from a hypothesized population proportion when the sample size is small and/or the population variance is unknown.

H. In a two-sample z-test for the p1-p2 scenario, the researcher is interested in comparing two proportions in two independent groups with known population variances.

I. If none of the above tests are appropriate for a particular scenario, then another type of test (such as a chi-square test or ANOVA) may be needed.

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To evaluate the expression, we need to use the binomial distribution formula: P(X = k) = (n choose k) * p^k * (1-p)^(n-k) where:

- n is the sample size (10 individuals in this case)
- k is the number of individuals who have consumed alcohol (5 in this case)
- p is the probability of an individual consuming alcohol, which is 0.6 according to the problem

If you provide the value of p, I can help you calculate the probability.

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Answer:

The answer would be 179832 Centimeters

Step-by-step explanation:

Answer: mt rushmore is 5,725 ft

Step-by-step explanation:

Answer:

Step-by-step explanation:

This is S(oh)C(ah)T(oa)

Since X is on the adjacent leg of the triangle, you want to use COSINE

The Cos(18)=x/25

Multiply cos(18) by 25, and you get 23.7764129074.

Answer:

COS(18)=x/25

COS(19)*25= 23.776

A negative exponent in scientific notation tells us that the number is very small and requires a lot of zeroes before the first non-zero digit. For example, if a number is written in scientific notation as 3.0 x 10^-5, this means that the actual value of the number is 0.00003.

The negative exponent indicates that the decimal point needs to be moved to the left by five places in order to represent the value of the number.

A negative exponent in scientific notation tells us that the number is a decimal value less than 1. It indicates that the decimal point needs to be moved to the left by the number of places specified by the exponent. This represents a small number, where the magnitude decreases as the negative exponent increases.

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(x, y) → (-x, -y) represents a rotation 180° clockwise.

Transformation is the movement of a point from its initial location to a new location. Types of transformation are reflection, rotation, translation and dilation.

Rotation is the flipping of a figure about a point. Translation is the movement of a point either up, down, left or right in the coordinate plane. Dilation is the increase or decrease in the size of a figure.

(x, y) → (x - 7, y + 2) represents a translation 7 units left and 2 units to the up.

(x, y) → (-x, -y) represents a rotation 180° clockwise.

(x, y) → (x + 3.5, y + 3.5) represents a translation 3.5 units right and 3.5 units to the up.

(x, y) → (-x, y) represents a reflection over the y-axis

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