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The school you would like to attend costs $100,000. To help finance your education, you need to choose whether or not to sell any of your 500 shares of Apple stock you bought five years ago, 100 Apple bonds (each with a $1,000 face value and a 3.25% coupon rate) that are five years from their 10-year maturity date, or a combination of both. Provide the appropriate data and calculations that you would perform to make this decision

1. . Describe the experiences a young woman might face as she discusses sexuality with her parents, listens to a sex-education session in her high school, has her first experience with sexual intercourse, makes decisions about contraception, and tries to make a decision about an unwanted pregnancy.

2. How are gender roles relevant in

   • (a)

     the initiation of sexual relationships,

   • (b)

     sexual activity,

   • (c)

     sexual disorders, and

   • (d)

     decisions about contraception and abortion?

3. Describe attitudes about sexuality in the current era. Does the sexual double standard still hold true in North America in the 21st century?

In a survey of youth in southern Minnesota, the following correlations and p value results were found when the students were asked why they were changing schools: n = 175 (df = 173). α = .05. Assume the study is two-tailed, only interested in whether a relationship exists.

Based on the Correlation Coefficients with Significance, answer items 1-6:

1.  Is the relationship for the variable Alcohol Abuse statistically significant ?

2 .For the variable Drug Abuse, would the null hypothesis be rejected?

3.What type of relationship exists for the variable Number of students arrested?

A) strong, inverse

B) moderate, inverse

C) weak, direct

D) strong, direct

4. What type of relationship exists for the variable Drug Abuse?

A) moderate, inverse

B) strong, direct

C) weak, direct

D) strong inverse

5. Based on the relationship indicated between Drug Abuse and the Desire to Change Schools, which is the most appropriate interpretation of r?

6. What would the coefficient of determination be for the variable Number of Fights?

The table below gives the number of hours spent unsupervised each day as well as the overall grade averages for seven randomly selected middle school students. Using this data, consider the equation of the regression line, yˆ=b0+b1x, for predicting the overall grade average for a middle school student based on the number of hours spent unsupervised each day. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would not be appropriate to use the regression line to make a prediction if the correlation coefficient is not statistically significant.

Step 1 of 6: Find the estimated slope. Round your answer to three decimal places.

Step 2 of 6: Find the estimated y-intercept. Round your answer to three decimal places.

Step 3 of 6: Determine if the statement "Not all points predicted by the linear model fall on the same line" is true or false.

Step 4 of 6: According to the estimated linear model, if the value of the independent variable is increased by one unit, then the change in the dependent variable y^ is given by?

Step 5 of 6: Find the estimated value of y when x=3. Round your answer to three decimal places.

Step 6 of 6: Find the value of the coefficient of determination. Round your answer to three decimal places.

Exercise 9-12 Working with More Than One Cost Driver [LO9-1, LO9-2, LO9-3]The Gourmand Cooking School runs short cooking courses at its small campus. Management has identified two cost drivers it uses in its budgeting and performance reports—the number of courses and the total number of students. For example, the school might run two courses in a month and have a total of 63 students enrolled in those two courses. Data concerning the company’s cost formulas appear below:

For example, administrative expenses should be $3,800 per month plus $42 per course plus $7 per student. The company’s sales should average $890 per student.The company planned to run four courses with a total of 63 students; however, it actually ran four courses with a total of only 55 students. The actual operating results for September appear below:

Required: 1. Prepare the company’s planning budget for September.2. Prepare the company’s flexible budget for September.3. Calculate the revenue and spending variances for September.

The table below gives the number of hours spent unsupervised each day as well as the overall grade averages for seven randomly selected middle school students. Using this data, consider the equation of the regression line, yˆ=b0+b1x, for predicting the overall grade average for a middle school student based on the number of hours spent unsupervised each day. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would not be appropriate to use the regression line to make a prediction if the correlation coefficient is not statistically significant. Hours Unsupervised 2.5 3 3.5 4 4.5 5.5 6 Overall Grades 99 97 87 83 78 69 63 Table

Step 1 of 6 : Find the estimated slope. Round your answer to three decimal places

. Step 2 of 6: Find the estimated y-intercept. Round your answer to three decimal places.

Step 3 of 6: Determine the value of the dependent variable yˆ at x=0. (bo/b1/x/y)

Step 4 of 6: According to the estimated linear model, if the value of the independent variable is increased by one unit, then the change in the dependent variable yˆ is given by? (bo/b1/x/y) Step 5 of 6: Determine if the statement "All points predicted by the linear model fall on the same line" is true or false.

Step 6 of 6: Find the value of the coefficient of determination. Round your answer to three decimal places

The table below gives the number of hours spent unsupervised each day as well as the overall grade averages for seven randomly selected middle school students. Using this data, consider the equation of the regression line, yˆ=b0+b1xy^=b0+b1x, for predicting the overall grade average for a middle school student based on the number of hours spent unsupervised each day. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would not be appropriate to use the regression line to make a prediction if the correlation coefficient is not statistically significant.

Table

Copy Data

Step 1 of 6: Find the estimated slope. Round your answer to three decimal places.

Step 2 of 6: Find the estimated y-intercept. Round your answer to three decimal places.

Step 3 of 6: Determine if the statement "All points predicted by the linear model fall on the same line" is true or false.

Step 4 of 6: According to the estimated linear model, if the value of the independent variable is increased by one unit, then the change in the dependent variable yˆy^ is given by? b0,b1,x,y?

Step 5 of 6: Find the estimated value of y when x=1.5x=1.5. Round your answer to three decimal places.

Step 6 of 6: Find the value of the coefficient of determination. Round your answer to three decimal places.

The table below gives the number of hours spent unsupervised each day as well as the overall grade averages for seven randomly selected middle school students. Using this data, consider the equation of the regression line, yˆ=b0+b1x, for predicting the overall grade average for a middle school student based on the number of hours spent unsupervised each day. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would not be appropriate to use the regression line to make a prediction if the correlation coefficient is not statistically significant.

Hours Unsupervised 0 1 1.5 2.5 4 5.5 6

Overall Grades 98 86 85 83 80 78 67 (Table)

Step 1 of 6 : Find the estimated slope. Round your answer to three decimal places

Step 2 of 6:

Find the estimated y-intercept. Round your answer to three decimal places.

Step 3 of 6:

Substitute the values you found in steps 1 and 2 into the equation for the regression line to find the estimated linear model. According to this model, if the value of the independent variable is increased by one unit, then find the change in the dependent variable yˆ.

Step 4 of 6:

Determine if the statement "Not all points predicted by the linear model fall on the same line" is true or false.

Step 5 of 6:

Find the estimated value of y when x=0.5. Round your answer to three decimal places.

Step 6 of 6:

Find the value of the coefficient of determination. Round your answer to three decimal places.

There are two (2) hypothesis testing inquiries.

Hint: one inquiry is either a left-tail test or a right-tail test and one inquiry is a two-tail test.

For each inquiry show all work, including:

1. The null (H0) and alternative (H1) hypothesis.

2. The numerical critical value (ZCrit).

3. The calculation and calculated value (ZCalc).

Recall: z = (Xbar – mu) / (sigma / square-root of the sample size)

4. Determination: Reject H0 or Do not reject H0.

5. A brief explanation as to how you determined whether to Reject H0 not.

1. Student Expenditures: The average expenditure per student (based on average daily attendance) for a certain school year was $10,338 with a population standard deviation of $1560. A survey for the next school year of 150 randomly selected students resulted in a sample mean of $10,797. At the α = 0.10 level of significance, do these results indicate that the average expenditure has changed? (50 points)

For full or partial credit, show all work (every step in your calculation).

2. Salaries of Government Employees: The mean salary of federal government employees on the General Schedule is $58,000. The average salary of 30 state employees who do similar work is $57,600 with σ = $1,500. At the 0.05 level of significance, can it be concluded that state employees earn on average less than federal employees? (50 points)

For full or partial credit, show all work (every step in your calculation).

The table below gives the number of hours spent unsupervised each day as well as the overall grade averages for seven randomly selected middle school students. Using this data, consider the equation of the regression line, y^=b0+b1x, for predicting the overall grade average for a middle school student based on the number of hours spent unsupervised each day. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would not be appropriate to use the regression line to make a prediction if the correlation coefficient is not statistically significant.

Hours Unsupervised   Overall Grades
2.5   97
3   94
3.5   91
4   86
4.5   79
5.5   74
6   65

Step 1 of 6:

Find the estimated slope. Round your answer to three decimal places.

Step 2 of 6:

Find the estimated y-intercept. Round your answer to three decimal places.

Step 3 of 6:

Substitute the values you found in steps 1 and 2 into the equation for the regression line to find the estimated linear model. According to this model, if the value of the independent variable is increased by one unit, then find the change in the dependent variable y^.

Step 4 of 6:

Determine if the statement "All points predicted by the linear model fall on the same line" is true or false.

Step 5 of 6:

Determine the value of the dependent variable y^ at x=0.

Step 6 of 6:

Find the value of the coefficient of determination. Round your answer to three decimal places.