2 large retail companies (W and T) are compared on a Census variable, percent of people who own their home within 3 square miles of the store. The percent that own their home for W is:

84, 79, 73, 81, 74, 77, 64, 78, 78, 78, 61

Percent for T is:

58, 61, 57, 62, 61, 59, 56, 64, 61, 70.

- Estimate the difference in percent owning their home for the two companies as to central tendency using lambda=.05. In estimating the difference, use 1 parametric approach, 1 robust(trimming) or nonparametric approach, and the best bootstrapping approach(not jackknife). Make a case for which approach is best.

On January​ 1, 2013, an investor bought 300 shares of​ Gottahavit, Inc., for $69 per share. On January​ 3, 2014, the investor sold the stock for ​$74 per share. The stock paid a quarterly dividend of $0.24 per share. How much​(in $) did the investor earn on this investment​ and, assuming the investor is in the 33​% tax​ bracket, how much will she pay in income taxes on this​ transaction? Assume a preferential tax rate of​ 15% on dividends and capital gains.

A)The amount​ (before taxes) the investor earned on this investment is ​$______ ​(Round to the nearest​ dollar.)

B)Assuming a preferential tax rate of​ 15%, the amount she will pay in income taxes on this transaction is ​$_____.​(Round to the nearest​ cent.)

The data below are the final exam scores of 10 randomly selected calculus students and the number of hours they slept the night before the exam:

Using the equation of the regression line, with all numbers in it rounded to 2 decimal places, predict the final exam score of a student who slept for 3 hours the night before the exam. (Round the score to 2 decimal places)

Select one:

49.83

45.64

55.97

50.22

59.58

61.01

A study was conducted to determine whether the final grade of a student in an introductory psychology course is linearly related to his or her performance on the verbal ability test administered before college entrance. The verbal scores and final grades for 10 students are shown in the table below.

Find the following:

The least squares line: ŷ =

Calculate the residual for the second student:

Data was collected from students to determine the effects on overall grade average and number of hours spent playing video games per week.

Grade   Hours/Week
20 23
96 3
74 6
85 5
67 8
56 14
79 4
65 7
Which is the:
-Independent variable?   _______________________
-Dependent variable?   _______________________

-Calculate the coefficient of correlation and interpret the results.

-Determine both the coefficient of determination and non-determination and explain the result.

-Determine the unrounded regression equation for this data set.

-Using the regression equation predict the grade average when 15 hours are played per week. Show all work involved in finding your answer.

John wishes to study the heights of the women’s basketball team. He completes a simple random sample of women’s basketball team members. 70 71 69.25 68.5 69 70 71 70 70 69.5 74 75.5
John knows that women’s heights are normally distributed. Use the critical value method and a 5% significance level to test the claim that women’s basketball players have heights with a mean greater than 68.6 inches (population mean height of men).
1) What is the significance level ?
2) What is the critical value?
3) What is the test statistic?
4) What is the statistical conclusion? (Reject or Fail to Reject H)

Saxton Corporation purchased 30 percent of Taylor Company’s voting stock on January 1, 2016, for $4 million in cash. At the date of acquisition, Taylor reported its total assets at $80 million and its total liabilities at $74 million. Investigation revealed that Taylor’s plant and equipment (10-year life) was overvalued by $2 million and it had an unreported customer database (3-year life) valued at $700,000. Taylor declares and pays $150,000 in dividends and reports net income of $325,000 in 2019.

Required
Prepare the necessary journal entries on Saxton’s books to report the above information for 2019 assuming Saxton uses the equity method to report its investment.

QUESTION #4 /8 (2 marks each) Answer the following questions regarding Exchange-Traded Funds (ETFs), in your own words:

a. How are ETFs typically structured?

b. Please describe how an in-kind exchange works?

c. What are the risks related to the composition of an ETF?

d. Why is “securities lending” a risk for ETFs?

Your local hotel has a dining room which has the capacity to seat 140 guests. It is opened for breakfast and lunch seven days a week and fully expects to be at capacity at these times. During January 2021, management has forecast the seat turnover for breakfast will be 3 times and for lunch 2 times, with the average bill to be $28 for breakfast and $58 for lunch. Beverage revenue is usually 12 per cent of the breakfast revenue and 28 per cent of the lunch revenue.  

Calculate budgeted total revenue of food and beverage for the 31 days of January 2021. Express the answer as a daily food and beverage outcome and also a monthly figure.

To further examine the school performance scores of the district, the superintendent identified schools within the district that could be matched to schools from surrounding districts using a series of demographic characteristics such as size, socio-economic status, and percent special education students. The data that were collected are presented below. School Pair 1 2 3 4 5 6 7 8 9 Superintendent School 70 73 70 73 82 72 70 82 75 Matched School 70 69 71 73 87 67 70 69 78 Verses School Pair 10 11 12 13 14 15 16 Superintendent School 75 82 88 74 79 65 74 Matched School 68 85 87 66 79 61 61 1. What are the mean school performance scores for the superintendent’s district and matched schools? 2. What are the standard deviations of the school performance scores for the superintendent’s district and matched schools? 3. State an appropriate null hypothesis for this analysis. 4. What is the observed or computed value of t? 5. What is the value of the degrees of freedom that are reported in the output? 6. What is the reported level of significance from the T Test for Dependent Means? 7. Based on the results of the T Test for Dependent Means, what would you conclude about the difference in scores of schools in the superintendent’s district and the matched schools? 8. Present the results as they might appear in an article. This must include a table and narrative statement that reports the results of the T Test for Dependent Means. I also need to know how to enter it into the spss calculator