For the year 2009, the table below gives the percent of people living below the poverty line in the 26 states east of the Mississippi River. Answer the following questions based on this data. State Percent Alabama 7.5 Connecticut 7.9 Delaware 14.9 Florida 13.2 Georgia 12.1 Illinois 10.0 Indiana 9.9 Kentucky 11.9 Maine 13.3 Maryland 10.9 Massachusetts 7.9 Michigan 15.8 Mississippi 9.1 State Percent New Hampshire 14.6 New Jersey 8.3 New York 9.1 North Carolina 12.1 Ohio 13.6 Pennsylvania 10.5 Rhode Island 8.2 South Carolina 12.5 Tennessee 10.0 Vermont 7.3 Virginia 10.4 West Virginia 10.5 Wisconsin 16.1 Find the five-number summary for this data.

For the year 2009, the table below gives the percent of people living below the poverty line in the 26 states east of the Mississippi River. Answer the following questions based on this data. State Percent Alabama 7.5 Connecticut 7.9 Delaware 14.9 Florida 13.2 Georgia 12.1 Illinois 10.0 Indiana 9.9 Kentucky 11.9 Maine 13.3 Maryland 10.9 Massachusetts 7.9 Michigan 15.8 Mississippi 9.1 State Percent New Hampshire 14.6 New Jersey 8.3 New York 9.1 North Carolina 12.1 Ohio 13.6 Pennsylvania 10.5 Rhode Island 8.2 South Carolina 12.5 Tennessee 10.0 Vermont 7.3 Virginia 10.4 West Virginia 10.5 Wisconsin 16.1 Calculate the standard deviation for this sample data. Do NOT round during the course of your calculations. Round only your final answer to two decimal places. (5 pts.)

Last year, 57% of business owners gave a holiday gift to their employees. A survey of business owners conducted this year indicates that 45% plan to provide a holiday gift to their employees. Suppose the survey results are based on a sample of 80 business owners.

(a)

How many business owners in the survey plan to provide a holiday gift to their employees this year?

business owners

(b)

Suppose the business owners in the sample did as they plan. Compute the p-value for a hypothesis test that can be used to determine if the proportion of business owners providing holiday gifts has decreased from last year.

Find the value of the test statistic. (Round your answer to two decimal places.)

Find the p-value. (Round your answer to four decimal places.)

p-value =

(c)

Using a 0.05 level of significance, would you conclude that the proportion of business owners providing gifts decreased?

Reject H₀. There is insufficient evidence to conclude that the proportion of business owners providing holiday gifts has decreased from last year.

Do not reject H₀. There is insufficient evidence to conclude that the proportion of business owners providing holiday gifts has decreased from last year.    

Do not reject H₀. There is sufficient evidence to conclude that the proportion of business owners providing holiday gifts has decreased from last year.

Reject H₀. There is sufficient evidence to conclude that the proportion of business owners providing holiday gifts has decreased from last year.

What is the smallest level of significance for which you could draw such a conclusion? (Round your answer to four decimal places.)

The average number of accidents at controlled intersections per year is 4.1. Is this average more for intersections with cameras installed? The 43 randomly observed intersections with cameras installed had an average of 4.3 accidents per year and the standard deviation was 0.63. What can be concluded at the αα = 0.05 level of significance?

1. For this study, we should use Select an answer z-test for a population proportion t-test for a population mean
2. The null and alternative hypotheses would be:

H0:H0:  ? μ p  ? > = ≠ <       

H1:H1:  ? μ p  ? < = > ≠    

3. The test statistic ? z t  =  (please show your answer to 3 decimal places.)
4. The p-value =  (Please show your answer to 4 decimal places.)
5. The p-value is ? > ≤  αα
6. Based on this, we should Select an answer accept reject fail to reject  the null hypothesis.
7. Thus, the final conclusion is that ...
   • The data suggest that the population mean is not significantly more than 4.1 at αα = 0.05, so there is statistically insignificant evidence to conclude that the population mean number of accidents per year at intersections with cameras installed is more than 4.1 accidents.
   • The data suggest that the sample mean is not significantly more than 4.1 at αα = 0.05, so there is statistically insignificant evidence to conclude that the sample mean number of accidents per year at intersections with cameras installed is more than 4.3 accidents.
   • The data suggest that the populaton mean is significantly more than 4.1 at αα = 0.05, so there is statistically significant evidence to conclude that the population mean number of accidents per year at intersections with cameras installed is more than 4.1 accidents.
8. Interpret the p-value in the context of the study.
   • If the population mean number of accidents per year at intersections with cameras installed is 4.1 and if another 43 intersections with cameras installed are observed then there would be a 2.17496463% chance that the population mean number of accidents per year at intersections with cameras installed would be greater than 4.1.
   • If the population mean number of accidents per year at intersections with cameras installed is 4.1 and if another 43 intersections with cameras installed are observed then there would be a 2.17496463% chance that the sample mean for these 43 intersections with cameras installed would be greater than 4.3.
   • There is a 2.17496463% chance that the population mean number of accidents per year at intersections with cameras installed is greater than 4.1 .
   • There is a 2.17496463% chance of a Type I error.
9. Interpret the level of significance in the context of the study.
   • There is a 5% chance that the population mean number of accidents per year at intersections with cameras installed is more than 4.1.
   • If the population mean number of accidents per year at intersections with cameras installed is 4.1 and if another 43 intersections with cameras installed are observed then there would be a 5% chance that we would end up falsely concluding that the population mean number of accidents per year at intersections with cameras installed is more than 4.1.
   • If the population population mean number of accidents per year at intersections with cameras installed is more than 4.1 and if another 43 intersections with cameras installed are observed then there would be a 5% chance that we would end up falsely concluding that the population mean number of accidents per year at intersections with cameras installed is equal to 4.1.
   • There is a 5% chance that you will get in a car accident, so please wear a seat belt.

Determine the tax liability for tax year 2017 in each of the following instances. In each case, assume the taxpayer can take only the standard deduction.

Use the appropriate Tax Tables and Tax Rate Schedules.

Tax table link: http://lectures.mhhe.com/connect/cruz11e_1259713733/2017_tax_table.pdf

Tax Rate Schedules Link: http://lectures.mhhe.com/connect/cruz11e_1259713733/2017_tax_rate_schedule.pdf

A single taxpayer, not head of household, with AGI of $23,493 and one dependent.

A single taxpayer, not head of household, with AGI of $169,783 and no dependents. (Round your intermediate computations to two decimal places and final answer to the nearest dollar amount.)

A married couple filing jointly with AGI of $39,945 and two dependents.

A married couple filing jointly with AGI of $162,288 and three dependents. (Round your intermediate computations to two decimal places and final answer to the nearest dollar amount.)

A married couple filing jointly with AGI of $301,947 and one dependent. (Round your intermediate computations to two decimal places and final answer to the nearest dollar amount.)

A taxpayer filing married filing separately with AGI of $68,996 and one dependent.

A qualifying widow, age 66, with AGI of $49,240 and one dependent.

A head of household with AGI of $14,392 and two dependents.

A head of household with AGI of $59,226 and one dependent.

(For all requirements, use the Tax Tables for taxpayers with taxable income under $100,000 and the Tax Rate Schedules for those with taxable income above $100,000.)

Tax Liability

a.

b.

c.

d.

e.

f.

g.

h.

i.

Company A is a car manufacturer. On January 1, Year 1, Company A leased a car to Company B for an 8-year period. The lease is appropriately accounted for as a sales-type lease by Company A. The useful life of the car is 10 years, and its carrying amount in Company A's financial statements was $100,000. The eight annual equal lease payments of $19,870 are payable at the end of each year, starting December 31, Year 1. The interest rate implicit in the lease is 10%. The fair value of the car at the inception of the lease equals the present value of the minimum lease payments. At the end of the lease term, Company B guarantees a residual value of $30,000. Information on present value factors is as follows: Present value of $1 at 10% for 8 periods 0.4665 Present value of an ordinary annuity of $1 at 10% for 8 periods 5.33493 Complete Company A's sales-type lease sheet using the information above. Enter the appropriate amounts in the shaded cells below. Enter all amounts as positive values. Round all amounts to the nearest dollar. If no entry is necessary, enter a zero (0)

1. The net investment in the lease account recognized by Company A on January 1, Year 1.

2. The amount of gross profit on the sale recognized by Company A in Year 1.

3. Total amount of interest income that Company A will earn over the lease period.

4. The amount of interest income on the lease recognized by Company A in year 1.

5. the amount of net investment in the lease account reported in company A's 12/31/Year1 balance sheet.

6. The amount of interest income on the lease recognized by Company A in year 2.

a taxpaying​ entity, estimates that it can save $23,000 a year in cash operating costs for the next 8 years if it buys a​ special-purpose eye-testing machine at a cost of $ 90000 No terminal disposal value is expected. Seattle Hospital's required rate of return is 12%. Assume all cash flows occur at​ year-end except for initial investment amounts. Seattle Hospital uses​ straight-line depreciation. The income tax rate is 28% for all transactions that affect income taxes.

The stockholders’ equity section of Grouper Inc. at the beginning of the current year appears below. Common stock, $10 par value, authorized 1,007,000 shares, 319,000 shares issued and outstanding $3,190,000 Paid-in capital in excess of par—common stock 575,000 Retained earnings 549,000 During the current year, the following transactions occurred:

1. The company issued to the stockholders 100,000 rights. Ten rights are needed to buy one share of stock at $30. The rights were void after 30 days. The market price of the stock at this time was $32 per share.

2. The company sold to the public a $195,000, 10% bond issue at 103. The company also issued with each $100 bond one detachable stock purchase warrant, which provided for the purchase of common stock at $28 per share. Shortly after issuance, similar bonds without warrants were selling at 96 and the warrants at $7.

3. All but 5,000 of the rights issued in (1) were exercised in 30 days.

4. At the end of the year, 80% of the warrants in (2) had been exercised, and the remaining were outstanding and in good standing.

5. During the current year, the company granted stock options for 9,300 shares of common stock to company executives. The company, using a fair value option-pricing model, determines that each option is worth $10. The option price is $28. The options were to expire at year-end and were considered compensation for the current year.

6. All but 930 shares related to the stock-option plan were exercised by year-end. The expiration resulted because one of the executives failed to fulfill an obligation related to the employment contract.

Prepare the stockholders’ equity section of the balance sheet at the end of the current year. Assume that retained earnings at the end of the current year is $680,000.

A college professor claims that the entering class this year appears to be smarter than entering classes from previous years. He tests a random sample of 14 of this year's entering students and finds that their mean IQ score is 116, with standard deviation of 14. The college records indicate that the mean IQ score for entering students from previous years is 111. If we assume that the IQ scores of this year's entering class are normally distributed, is there enough evidence to conclude, at the 0.05 level of significance, that the mean IQ score, μ, of this year's class is greater than that of previous years?

Perform a one-tailed test. Then fill in the table below.

Carry your intermediate computations to at least three decimal places and round your answers as specified in the table.