1. A survey of 822 randomly selected registered voters from a certain district found that 70.1% claimed to have voted in the last presidential election.

1. Determine how many registered voters in this survey claimed to have voted in the last presidential election.
2. Find a 95% confidence interval estimate for the proportion of registered voters who say they voted in the last presidential election in this district.
3. Are the survey results consistent with the actual voter turnout for this district (which was 63.9%)? Give a reasonably plausible explanation for why this outcome may have occurred in the context of this scenario

2. The operations manager for Alaska Airlines asks you to assist them in analyzing whether they should consider having a higher fare level for passengers who prefer aisle seats. They want to conduct a survey of their current passengers to determine the percentage who prefer aisle seats and need to know who many passengers to survey to ensure that their sample percentage is within 2.5 percentage points of the true population percentage (using a 95% confidence level).

1. Determine the minimum sample size if the percentage of passengers who prefer aisle seats has no estimate.
2. Another airline found in a recent poll they conducted that 38.0% of air passengers prefer aisle seats. Assuming that approximately the same percentage of Alaska passengers prefer aisle seats, find the new minimum sample size that would be required to achieve the same interval estimation with 95% confidence.
3. Repeat part (b) above, but this time the airline wants an interval estimate using a 99% confidence level.

In an article in Marketing Science, Silk and Berndt investigate the output of advertising agencies. They describe ad agency output by finding the shares of dollar billing volume coming from various media categories such as network television, spot television, newspapers, radio, and so forth.

(a) Suppose that a random sample of 396 U.S. advertising agencies gives an average percentage share of billing volume from network television equal to 7.48 percent, and assume that σ equals 1.49 percent. Calculate a 95 percent confidence interval for the mean percentage share of billing volume from network television for the population of all U.S. advertising agencies. (Round your answers to 3 decimal places.) The 95 percent confidence interval is [    ,    ].

(b) Suppose that a random sample of 396 U.S. advertising agencies gives an average percentage share of billing volume from spot television commercials equal to 12.49 percent, and assume that σ equals 1.55 percent. Calculate a 95 percent confidence interval for the mean percentage share of billing volume from spot television commercials for the population of all U.S. advertising agencies. (Round your answers to 3 decimal places.)

The 95 percent confidence interval is [    ,      ].

(c) Compare the confidence intervals in parts a and b. Does it appear that the mean percentage share of billing volume from spot television commercials for U.S. advertising agencies is greater than the mean percentage share of billing volume from network television? Explain. (Click to select)Yes or No , confidence interval in (b) is totally (Click to select)above or below the confidence interval in (a).

1. Demographers have noted that improvements in population health often accompany more general trends in modernization. For example, as countries take on modern economic functions and their population becomes increasingly concentrated in urban areas, various health indicators improve. One key health metric is the percentage of children who are born prematurely or at low birth weight. Once again, we can use regression analysis to investigate this general argument.

Use SPSS to create a bivariate regression equation where “LowBirthweight” is the dependent variable and “UrbanPop” is the independent variable. The variable “LowBirthweight” assesses the percentage of children born at what is considered “below normal” weight. The variable “UrbanPop” measures the percentage of people in each country who live in cities. The SPSS output for this regression is:

       a. Predictors: (Constant), UrbanPop: Percentage of Population in Cities

a. Dependent Variable: LowBirthweight: Percentage Children Low Birthweight

1. Interpret both components of the regression equation.
2. Is the slope coefficient in the regression equation statistically significant using a .05 alpha level? Be sure to provide the key information used in reaching your decision.
3. Are the results consistent with the argument that urbanization is associated with improved population health? Explain your answer.

In 2003 and 2017 a poll asked Democratic voters about their views on the FBI. In​ 2003, 42​% thought the FBI did a good or excellent job. In​ 2017, 64​% of Democratic voters felt this way. Assume these percentages are based on samples of 1200 Democratic voters.

1) Can we​ conclude, on the basis of these two percentages​ alone, that the proportion of Democratic voters who think the FBI is doing a good or excellent job has increased from 2003 to​ 2017? Why or why​ not?

Select one:

a. No. Although a lesser percentage is present in the​ sample, the population percentages could be the same or even reversed.

b. No. Since a greater percentage is present in the​ sample, we cannot conclude that a lesser percentage of Democratic voters who think the FBI is doing a good or excellent job is present in the population.

c. No. Although a lesser percentage is present in the​ sample, the population percentages could be the​ same, but could not be reversed.

d. Yes. Since a lesser percentage is present in the​ sample, a lesser percentage of Democratic voters who think the FBI is doing a good or excellent job is present in the population.

2) Construct a 95​% confidence interval for the difference in the proportions of Democratic voters who believe the FBI is doing a good or excellent​ job, p1−p2. Let p1 be the proportion of Democratic voters who felt this way in 2003 and p2 be the proportion of Democratic voters who felt this way in 2017.

Select one:

a. (0.39, 0.45)

b. (-0.259, -0.181)

c. (-0.24, -0.20)

d. (0.63, 0.65)

Paulina's Pizza is a well-known pizzeria and has contracted with a Business Analyst to estimate its cost equation. Based on

the data provided, the Business Analyst hypothesized that total costs were a function of fixed costs and variable costs. Recalling

from her BUSI 108 class, she hypothesized the following equation to be estimated,

                 Estimated Total Costs = b0 + b1*Pizzas

                 where

                 b0 = total fixed costs

                 b1 = marginal cost to produce 1 pizza

                 Pizzas = the quantity of pizzas produced

Using the least squares method, her regression results are the following,

                  Estimated Total Cost = 1,000 + 4*Pizzas

Paulina's Pizza tells the Business Analyst that they have tracked daily customer demand and the number of Pizzas sold depends

on the day of the week. Monday through Thursday (MidWeek) a low of 140 Pizzas per day are sold but Friday through Sunday

(Weekend) a high of 220 Pizzas per day are sold.

Pizzas are sold at a price of $10 per Pizza.

a) Assemble the Parameter Sections and the Model Sections for Paulina's Pizza. Calculate Total Cost, Total Revenue and Profit/

(Loss) for 170 Pizzas sold. Starting at 140 Pizzas and increasing by 10 to a maximum of 220 Pizzas, create a One-Way Data Table

calculating the Profit/(Loss) for the range of Pizzas that are sold during a week.

An area not-for-profit organization has asked Paulina's to assist with a fundraiser for their organization. The request is to

give 20% of the Pizza Price sold their organization when a customer presents a printed coupon from the organization. From

past experience with fundraisers, the percentage of customers that present the coupon ranged from 30% to 50%.

b) Using the What-If Analysis and the associated functions, create a table to reveal the range of Profit/(Loss) from both

the range of possible Pizzas sold and the percentage of customers who present the 20% coupon. There are several ways to

approach this problem but the objective is to create a table to show the various outcomes. Remember, Paulina's Pizza will

give 20% of its Total Revenue for that one day to a range of 30% to 50% of the customers that present the coupon.

The Ste. Marie Division of Pacific Media Corporation just started operations. It purchased depreciable assets costing $55 million and having a four-year expected life, after which the assets can be salvaged for $11 million. In addition, the division has $55 million in assets that are not depreciable. After four years, the division will have $55 million available from these nondepreciable assets. This means that the division has invested $110 million in assets with a salvage value of $66 million. Annual depreciation is $11 million. Annual operating cash flows are $30 million. In computing ROI, this division uses end-of-year asset values in the denominator. Depreciation is computed on a straight-line basis, recognizing the salvage values noted. Ignore taxes. Assume that all cash flows increase 10 percent at the end of each year. This has the following effect on the assets’ replacement cost and annual cash flows:

Depreciation is as follows:

Note that "accumulated" depreciation is 10 percent of the gross book value of depreciable assets after one year, 20 percent after two years, and so forth.

Required:

a. & b. Compute ROI using historical cost, net book value and gross book value. (Enter your answers as a percentage rounded to 1 decimal place (i.e., 32.1).)

NBV Gross Book Value

year 1 % %

year2 % %

year 3

year 4

c. & d. Compute ROI using current cost, net book value and gross book value. (Enter your answers as a percentage rounded to 1 decimal place (i.e., 32.1).)

   NBV Gross Book Value

year 1 % %

year2 % %

year 3

year 4

Elliott Engines Inc. produces three products—pistons, valves, and cams—for the heavy equipment industry. Elliott Engines has a very simple production process and product line and uses a single plantwide factory overhead rate to allocate overhead to the three products. The factory overhead rate is based on direct labor hours. Information about the three products for 20Y2 is as follows:

The estimated direct labor rate is $25 per direct labor hour. Beginning and ending inventories are negligible and are, thus, assumed to be zero. The budgeted factory overhead for Elliott Engines is $227,550.

If required, round all per unit answers to the nearest cent.

a. Determine the plantwide factory overhead rate.
$ per dlh

b. Determine the factory overhead and direct labor cost per unit for each product.

c. Use the information above to construct a budgeted gross profit report by product line for the year ended December 31, 20Y2. Include the gross profit as a percent of sales in the last line of your report, rounded to one decimal place. Enter all amounts as positive numbers, except for a negative gross profit/gross profit percentage of sales.

d. What does the report in (c) indicate to you?

Valves have the   gross profit as a percent of sales. Valves may require a   price or   cost to manufacture in order to achieve the same profitability as the other two products.

A publisher reports that 29% of their readers own a laptop. A marketing executive wants to test the claim that the percentage is actually different from the reported percentage. A random sample of 380 found that 25% of the readers owned a laptop. Find the value of the test statistic. Round your answer to two decimal places.

A publisher reports that 29% of their readers own a laptop. A marketing executive wants to test the claim that the percentage is actually different from the reported percentage. A random sample of 380 found that 25% of the readers owned a laptop. Find the value of the test statistic. Round your answer to two decimal places.

A publisher reports that 78% of their readers own a laptop. A marketing executive wants to test the claim that the percentage is actually different from the reported percentage. A random sample of 120 found that 71% of the readers owned a laptop. Find the value of the test statistic. Round your answer to two decimal places.