In: Statistics and Probability
You may need to use the appropriate technology to answer this question.
Consider the following data on price ($) and the overall score for six stereo headphones tested by a certain magazine. The overall score is based on sound quality and effectiveness of ambient noise reduction. Scores range from 0 (lowest) to 100 (highest).
| Brand | Price ($) | Score |
|---|---|---|
| A | 180 | 74 |
| B | 150 | 73 |
| C | 95 | 63 |
| D | 70 | 58 |
| E | 70 | 40 |
| F | 35 | 28 |
(a)
The estimated regression equation for this data is
ŷ = 25.933 + 0.301x,
where x = price ($) and y = overall score. Does the t test indicate a significant relationship between price and the overall score? Use α = 0.05.
Find the value of the test statistic. (Round your answer to three decimal places.)
Find the p-value. (Round your answer to four decimal places.)
p-value =
(b)
Test for a significant relationship using the F test. Use α = 0.05.
Find the value of the test statistic. (Round your answer to two decimal places.)
Find the p-value. (Round your answer to three decimal places.)
p-value =
(c)
Show the ANOVA table for these data. (Round your p-value to three decimal places and all other values to two decimal places.)
| Source of Variation |
Sum of Squares |
Degrees of Freedom |
Mean Square |
F | p-value |
|---|---|---|---|---|---|
| Regression | |||||
| Error | |||||
| Total |
In: Statistics and Probability
A sports and fitness magazine reported that the average maximum bench-press of high school varsity football players is equal to 185 pounds. A local high school football coach believes that this number is too high. He randomly samples 16 varsity high school football players from the state, which showed a mean maximum bench-press weight of 177 pounds, and a standard deviation of the sample equal to 12.5 pounds. Is the high school football coach’s claim correct? Test the hypothesis at alpha = 0.05. Assume a simple random sample and the distribution is normally distributed.
What is the P-value for this
problem?
If using “Traditional Method,” the calculated value to compare to your alpha for this hypothesis test would be equal to what?
In: Statistics and Probability
(a) Select a newspaper/magazine/Internet article published in
2019-2020 that is related to international trade and/or political
economy of trade. Summarize the content of the article in your own
words. The source of the article should be provided in the
reference.
(3 marks; maximum 80 words excluding the references; state the
number of words used at the end of your answer)
(b) Discuss the article selected in part (a) using relevant economic concepts and theories from Topic 4 and/or Topic 5 of the lecture. You can provide additional information beyond the textbook and lecture notes to enrich your discission. The sources of such additional information, if any, should be provided in the references.
(17 marks; maximum 300 words excluding the references; state the number of words used at the end of your answer)
In: Economics
|
x |
0 |
1 |
2 |
3 |
4 |
5 or more |
|
p(x) |
0.10 |
0.20 |
0.30 |
0.20 |
0.15 |
0.05 |
In: Statistics and Probability
According to Money magazine, Maryland had the highest median annual household income of any state in 2018 at $75,847.† Assume that annual household income in Maryland follows a normal distribution with a median of $75,847 and standard deviation of $33,800.
(a) What is the probability that a household in Maryland has an annual income of $90,000 or more? (Round your answer to four decimal places.)
(b) What is the probability that a household in Maryland has an annual income of $50,000 or less? (Round your answer to four decimal places.)
(c) What is the probability that a household in Maryland has an annual income between $40,000 and $70,000? (Round your answer to four decimal places.)
(d) What is the annual income (in $) of a household in the eighty-sixth percentile of annual household income in Maryland? (Round your answer to the nearest cent.)
In: Statistics and Probability
|
Sales of People magazine are compared over a 5-week period at four Borders outlets in Chicago. |
| Weekly Sales | |||
| Store 1 | Store 2 | Store 3 | Store 4 |
| 103 | 95 | 87 | 100 |
| 105 | 73 | 89 | 117 |
| 106 | 79 | 74 | 88 |
| 115 | 78 | 106 | 101 |
| 114 | 99 | 94 | 100 |
|
Fill in the missing data. (Round your p-value to 4 decimal places, mean values to 1 decimal place, and other answers to 3 decimal places.) |
| Treatment | Mean | n | Std. Dev |
| Store 1 | |||
| Store 2 | |||
| Store 3 | |||
| Store 4 | |||
| One-Factor ANOVA | |||||
| Source | SS | df | MS | F | p-value |
| Treatment | |||||
| Error | |||||
| Total | |||||
| (a) | You will need to run the One-Way ANOVA to test the following hypotheses: |
| H0: μ1 = μ2 = μ3 = μ4 | |
| H1: Not all the means are equal | |
| α = 0.05 | |
| |
| (b) | Determine the value of F. (Round your answer to 2 decimal places.) |
| F-value |
(c)Determine the p-value. (Round your answer to 4 decimal places.)
p-value
| (d) |
On the basis of the above-determined values, choose the correct decision from below. |
||||
|
In: Statistics and Probability
A magazine includes a report on the energy costs per year for 32-inch liquid crystal display (LCD) televisions. The article states that
1414
randomly selected 32-inch LCD televisions have a sample standard deviation of
$3.773.77.
Assume the sample is taken from a normally distributed population. Construct
9898%
confidence intervals for (a) the population variance
sigmaσsquared2
and (b) the population standard deviation
sigmaσ.
Interpret the results.
(a) The confidence interval for the population variance is
(nothing,nothing).
(Round to two decimal places as needed.)
Interpret the results. Select the correct choice below and fill in the answer box(es) to complete your choice.
(Round to two decimal places as needed.)
A.With
9898%
confidence, you can say that the population variance is between
nothing
and
nothing.
B.With
22%
confidence, you can say that the population variance is between
nothing
and
nothing.
C.With
9898%
confidence, you can say that the population variance is
lessless
than
nothing.
D.With
22%
confidence, you can say that the population variance is
greatergreater
than
nothing.
(b) The confidence interval for the population standard deviation is
(nothing,nothing).
(Round to two decimal places as needed.)
Interpret the results. Select the correct choice below and fill in the answer box(es) to complete your choice.
(Round to two decimal places as needed.)
A.With
9898%
confidence, you can say that the population standard deviation is
greatergreater
than
nothing
dollars per year.
B.With
22%
confidence, you can say that the population standard deviation is between
nothing
and
nothing
dollars per year.
C.With
9898%
confidence, you can say that the population standard deviation is between
nothing
and
nothing
dollars per year.
D.With
22%
confidence, you can say that the population standard deviation is
lessless
than
nothing
dollars per year.
In: Statistics and Probability
Hollow Truth Publishers is considering whether to launch a new e-magazine. The annual percentage rate of return (APR) on a similar risk project is 8%, the cash flows occur semi-annually (at the end of the 6th and 12th month for each year), and the publishing company requires a payback period of 2 years. The finance department has calculated that the required rate of return for all projects that it will consider is 14%.
The costs of the project are:
Advertising on various billboards and cable television stations
$200,000
Hollow Truth’s headquarters accounting department charges $50,000
Production costs and employee bonuses $260,000
Last year’s purchase price for the e-magazine's offices $470,000
Potential rental income from the offices if rented to a 3rd party $200,000
a. What are the total relevant costs of the project? Explain why
you consider each cost relevant or not for this project.
b. Assume the semi-annual cash inflows are $150,000 and $200,000 in
year 1, and $250,000 and $200,000 in year 2. Calculate the payback,
discounted payback, IRR and MIRR of the project. Based on each
criterion, should you accept the project? Why?
c. If the project is analyzed using the NPV rule, should you accept
the project? Why?
What would you do if you believed the semi-annual cash flows had a
high degree of uncertainty and could be potentially 15% lower? (You
don’t have to re-estimate the NPV, just describe what you would do
and how you would assess this.)
d. If you were the CEO of the firm, would you accept or reject this
project? Why?
In: Finance
A health magazine conducted a survey on the drinking habits of US young adults (ages 21-35). On the question "Do you drink beer, wine, or hard liquor each week?" 985 of the 1516 adults interviewed said "yes".
A. Test at 0.02 significance level whether the population proportion of US young adults who drink beer, wine, or hard liquor on a weekly basis is significantly different from 65%. Include the hypotheses, the Z-test statistic, the p-value, test decision and conclusion in the context of the problem.
B. Do you believe your results are valid? Explain.
C. What test decision error could you have made and provide an explanation of this error in context of the problem.
D. Include a copy of your R-code and test output.
In: Statistics and Probability