1.Determine whether the following statement would be the null or research hypothesis in an ANOVA: "there is not a difference between any of the means (μ₁=μ₂=μ₃=μ₄)”?

A.The research hypothesis

B.The null hypothesis

2.What is one of the limitations of ANOVA?

A. ANOVA is only useful with independent variables that have two categories.

B.Although it measures statistically different averages between or within groups, it has inappropriate measures for degrees of freedom.

C.Although it measures statistically different averages between or within groups, it does not distinguish which average is statistically different, only that there is a difference.

D.Variation is better captured by MANOVA.

3.ANOVA can be used with which level(s) of measurement of the dependent variable?

A.Interval-ratio only

B.Ordinal only

C.Nominal only

D.Interval-ratio and ordinal

E.Ordinal and Nominal

F.Nominal and interval-ratio

4.True or false, the F statistic is the ratio of between-group variation to within-group variation

5.True or false, the F distribution is not symmetrical but skewed to the right.

6.What is the statistic associated with ANOVA?

A.Chi-square statistic

B.Regression coefficient

C.Sum of squares statistic

D.F statistic

7.True or false, a larger obtained F statistic suggests greater between-group variance than within-group variance and increases the chances of rejecting the null

8.Regarding the direction of a relationship between two variables, choose the best description of a positive association.

A.A relationship between two variables where the observations of the variables move in opposite directions, e.g. as the values of one variable increase, values of the other variable decrease or vice versa. For example, alcohol consumption and the strength of the body’s immune system.

B.A relationship between two variables where the observations of the variables move in opposite directions, e.g. as the values of one variable decrease, values of the other variable also decrease. For example, exposure to nuclear radiation and incidence of cancers.

C.A relationship between two variables where the observations of the variables move in the same direction, which can be upward and downward e.g. as the values of one variable increase, values of the other variable also increase. For example, age and educational attainment.

D.A relationship between two variables where the observations of the variables move in the same upward direction, but not downward direction, e.g. as the values of one variable increase, values of the other variable only increase. For example, age and time.

5. If the buyer of merchandise agrees to pay shipping costs, how is the cost recorded?
6. If the seller of merchandise agrees to pay shipping costs, how is the cost recorded?
7. Why would the seller of merchandise offer a discount for early payment?
8. Payment terms are: 4/10, n/50. What does this mean?
9. If the buyer takes advantage of the discount offered, what will happen to the cost of his/her merchandise?
10. When would the contra revenue account Sales Returns & Allowances be used?
11. When would the contra revenue account Sales Discount be used?
12. How will the two contra revenue accounts (in #10 and #11) affect sales?
13. What kind of account is inventory?
14. How is the inventory account adjusted?
15. For each account below, indicate whether it is a permanent account or temporary account:

a. Cost of Goods Sold
b. Sales Revenue
c. Sales Discount
d. Sales Returns & Allowances
e. Inventory

A Mechanical design company produces an innovative design Component Z100 design of producing one(1) unit of component Z100 is provided in the bill of materials BOM which requires mix shown in Table Q3-1. The current monthly production of Component Z100 is consumption shown in Table Q3-2. Determine the following;

(i) Material usage variance;

(ii) Material price variance;

(iii) Total material cost variance;

(iv) Discuss at least two(2) importance of variance analysis in a manufacturing company

Table Q3-1

Table Q3-2

Q1- Katherine, a biology major at the University of Texas, is a pretender. She wants to run for office one day and pretends that she cares about the elderly. She wants to provide meals to elderly care centers, and in order to do that she needs refrigerators to keep the food in a cold and dry environment. She has two option for mobile refrigerators. Applying annual cash flow techniques (EAUW), and considering a MARR of 8%, which option should she pick? please explain all steps and what equations are use thank you.

Professor Fair believes extra time does not improve grades on exams. He randomly divided a group of 300 students into two groups and gave them all the same test. One group had exactly 1 hour in which to finish the test, and the other group could stay as long as desired. The results follow. Test at the 0.01 level of significance that time to do a test and test results are independent.

A. What is the null hypothesis?

B. What is the alternative hypothesis?

C. What distribution are you using?

D. What test are you running?

E. What is your conclusion?

1- The BCG matrix is used for what purpose?

to find the target markets where firms can position one or more of their product together(co- branding).

to segment the company products into more targeted groups

to identify the products in a firms portfolio that they should invest in

to make an easy chart for marketers to understand

2- new product failure ranges between:

15-30%

50-75%

30-50%

40-60%

A researcher interviews 50 employees of a large manufacturer and collects data on each worker’s hourly wage (Wage), years of higher education (EDUC), experience (EXPER), and age (AGE). The data is shown below; the data set can also be found on the text website; labeled Hourly Wage. You will be examining the relationships between the following variables: wage and any relationship of this variable to 1) education and 2) experience. Must use either Minitab or Excel to develop both the scatter plots and find the correlation coefficients.

Please use either Minitab or Excel to develop both the scatter plots and find the correlation coefficients.



A. Which variable is the response variable? Which variables are the explanatory variables?

B. Develop a scatter plot comparing wage to education. Interpret the plot.

C. Develop a scatter plot comparing wage to experience. Interpret the plot.

D. Compute the correlation coefficients for wage and education and wage and experience. Then perform a hypothesis test for both correlations to determine if the correlations are statistically significant. Be sure to show the null and alternative hypotheses, decision rule, decisions and conclusions. Use alpha = .05. Note: Since the hypotheses and decision rule are the same for both tests, only need to write those steps once.  

E. Which of the explanatory variables provides the best predictor of the response variable? Support your response by citing both the scatter plot and correlation test.

A researcher interviews 50 employees of a large manufacturer and collects data on each worker’s hourly wage (Wage), years of higher education (EDUC), experience (EXPER), and age (AGE). The data is shown below; the data set can also be found on the text website; labeled Hourly Wage. You will be examining the relationships between the following variables: wage and any relationship of this variable to 1) education and 2) experience. Must use either Minitab or Excel to develop both the scatter plots and find the correlation coefficients.

Please use either Minitab or Excel to develop both the scatter plots and find the correlation coefficients.



A. Which variable is the response variable? Which variables are the explanatory variables?

B. Develop a scatter plot comparing wage to education. Interpret the plot.

C. Develop a scatter plot comparing wage to experience. Interpret the plot.

D. Compute the correlation coefficients for wage and education and wage and experience. Then perform a hypothesis test for both correlations to determine if the correlations are statistically significant. Be sure to show the null and alternative hypotheses, decision rule, decisions and conclusions. Use alpha = .05. Note: Since the hypotheses and decision rule are the same for both tests, only need to write those steps once.  

E. Which of the explanatory variables provides the best predictor of the response variable? Support your response by citing both the scatter plot and correlation test.

Zetta Company has unleveraged beta 1.3, risk free rate 7% and market risk premium for 5%. The applicable tax rate is 40%. The company needs to finance its new project under two different scenarios.

Scenario Debt ratio Interest rate EPS
1 0% 0% $2.40
2 30% 10% $3.40

6. WACC under scenario number 2 equals to *

a)12.42%

b)11.55%

c)13.50%

d)14.24%

e)None of the above

7. The price per share under scenario number 2 equals to *

a)$28.50

b)$26.50

c)$24.30

d)$22.40

e)None of the above

8. Which of the following statements is correct? *

a)The optimal capital structure refers to the debt ratio that can minimize the WACC and maximize the share price.

b)The optimal capital structure refers to the debt ratio that can maximize the WACC and minimize the share price.

c)The optimal capital structure refers to the debt ratio that can maximize the WACC and maximize the share price.

d)The optimal capital structure refers to the debt ratio that can minimize the WACC and minimize the share price.

e)None of the above