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Credit Card Use by Undergraduates. In a study entitled How Underg
$3173. This figure was an all-time high and had increased 44% over t
mean credit card balance for undergraduate students has continue
On the basis of above information, answer the following questions:
Qs. 1 State the null and alternative hypotheses. Hint: Will it be a upper one tailed, lower one tailed or a two tailed te
Qs. 2 What is the p-value for a sample of 180 undergraduate studen
Hint: You are given the population mean and standard deviation in th
population mean)/population standard deviation/square root of the
The relevant p-value calculation will depend on the alternative hypo
Qs. 3 Using a .05 level of significance, what is your conclusion?
Hint: Use Reject the null hypothesis if p-value< level of significance, Answers: Qs.1 Null hypothesis <= (the mean should not be more than 3173)
Alternative hypothesis >3173 (if the mean is more than 3173, it'll be
This is an upper one tailed test. Qs.2 P-value = 0.97928965 first calculate the z-value using the formula (sample mean - populati
use =NORM.S.DIST(z-value, true) to find the probability of the lower
Take 1-0.97928965 which is 0.02071035 Qs 3. The conclusion is we reject the null as the p-value is 0.02071035 and
graduate Students Use Credit Cards, Sallie Mae reported that undergr
the previous five years. Assume that a current study is being conducte
ed to increase
compared to the April 2009 report. Based on previous s
est? Your research hypothesis should be in the alternative hypothesis
nts with a sample mean credit card balance of $3325?
he question set up. For this part, you also are given sample mean and
e sample size.
othesis--upper tailed value, lower tailed p-value and two tailed p-value
otherwise do not reject the null.
e an alternative hypothesis which is also the esearch hypothesis) tion mean) / sample standard deviation which is 2.039294. Then r tail, which is 0.97928965 . To find the probability of upper tail, d it's smaller than the level of signinficance.
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Related Questions
21
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Hotel Prices. Hotel room pricing changes over time (Lodging Magazine), but is there a difference between Europe hotel
prices and U.S. hotel prices? The file IntHotels contains changes in the hotel prices for 47 major European cities and 53
major U.S. cities.
a On the basis of the sample results, can we conclude that the mean change in hotel rates in Europe and the United
States are different? Develop appropriate null and alternative hypotheses.
b Use a.01. What is your conclusion?
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please help me with this question ASAP:
A research paper reports, “... the sample average ̄Y = 4.8 is statistically different from 2at a 1% level, since its t-statistic is 4.” Suppose you want to test the null hypothesis that the meanof the population is equal to 4.5 against the one-sided alternative that the mean is greater than 4.5.Do you reject this null at a 5% level? Do you reject it at a 10% level?
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8
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A recent study of 88 people showed they ate sandwiches (S) an average of 25.5 times and
sd(S)=6.6.Calculate the test t statistic for the following hypothesis:(3 significant digits in final
answer)
Họ: us = 26.8
Ha: HS 26.8
%3D
Answer:
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1
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Which of the following is a test for serial correlation in the error terms?
Johansen test
b. Durbin Watson test
e White test
Dickey Fuller test
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explain the p value
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"Why can’t I just test the individual coefficients one at a time"? is this approach is unreliable?
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Please help
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The Federal Reserve Board is meeting to decide if it should reduce interest rates in order to stimulate economic growth. State the null and alternative hypotheses regarding economic growth that the board would formulate to guide its decision.
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et R2unrestricted and R2restricted be 0.54 and 0.30 respectively. The difference between the unrestricted and the restricted model is that you have imposed two restrictions. The number of regressors in the unrestricted model is 5. There are 500 observations. The F-statistic (under the assumption of homoskedasticity) in this case is
1. 4.61
2. 8.01
3. 98.5
4. 128.9
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Consider the following hypothesis test.
Ho: Hs 50
На: и > 50
A sample of 60 is used and the population standard deviation is 8. Use the critical value approach to state your conclusion for each of the following sample results. Use
a = 0.05. (Round your answers to two decimal places.)
(а) х 3D 52.5
Find the value of the test statistic.
2.4206
State the critical values for the rejection rule. (If the test is one-tailed, enter NONE for the unused tail.)
test statistic
State your conclusion.
Reject Ho. There is insufficient evidence to conclude that u > 50.
Do not reject Ho. There is sufficient evidence to conclude that u > 50.
Reject Ho. There is sufficient evidence to conclude that u > 50.
Do not reject Ho. There is insufficient evidence to conclude that u > 50.
(b) х %3D 51
Find the value of the test statistic.
State the critical values for the rejection rule. (If the test is one-tailed, enter NONE for the unused tail.)
test statistic
O O O O
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We are studying the factors that contribute to unemployment at an individual level. UE, unemployment, is our dependent variable and it is a binary variable that takes the value 1 if an individual is unemployed and 0 if they are employed.
We have a random sample and we estimate the following model:
UE^= 0.508−0.051educ−0.023urban+0.005age(0.122) (0.012) (0.005) (0.002)n=6214, R2=0.474
where
educ = an individual’s years of education
urban = a dummy equal to 1 if the individual lives in an urban area and 0 otherwise
age = an individual’s age in years
What is the correct interpretation of the estimated coefficient on education?
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1. Obtain a formulation for the coefficient of
determination.
2. Which assumptions are needed to obtain
unbiased estimations of Po and P₁.
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You are volunteering for a local nonprofit organization whose mission is to improve child
literacy. This organization has asked for your help gathering information on the reading
activities that local children engage in.
1. For each of the following scenarios, state the null and alternative hypotheses.
Scenario A: You read in a report that preschool-aged children have on average 5.2 books at
home. You are concerned that children in your community have fewer books.
Scenario B: The nonprofit recently engaged in a campaign to encourage elementary school
children to read more. A previous study found that children in your community read in their
free time for 48 minutes per day on average. You would like to find out whether the time
spent reading among elementary school students increased after the campaign.
Scenario C: Your local public library reported last year that the average number of children
visiting the library each day was 77. You would like to test whether that has changed.
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Economic topic. Solve it
A radio shop sells, on an average, 200 radios
per day with a standard deviation of 50 radios
After an extensive advertising campaign, the
management will compute the average sales
for the next 25 days to see whether an
improvement has occurred. Assume that the
daily sales of radios is normally distributed:
(i) Write down the null and the alternative
hypotheses.
(ii) Test the hypothesis at 5% level of
significance if X = 216.
%3D
(iii) How large must Xbe in order that the null
hypothesis is rejected at 5% level of
significance.
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Suppose that a random sample of 200 20-year-old men is selected from a
population and that these men's height and weight are recorded. A
sion of weight on height yields
regres-
Weight = –99.41 + 3.94 × Height, R2 = 0.81, SER = 10.2,
||
where Weight is measured in pounds and Height is measured in inches.
a. What is the regression's weight prediction for someone who is 70 in. tall?
65 in. tall? 74 in. tall?
b. A man has a late growth spurt and grows 1.5 in. over the course of a year.
What is the regression's prediction for the increase in this man's weight?
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GNP: PLUSES AND MINUSES The gross national product in recent years has basked in the warm glow of nearly universal praise. Econo mists, quite naturally, have been freest with the encomiums. Where else but the GNP could they get in one tidy number a measure of the growth in the mammoth U.S. economy. Businessmen, though not entirely persuaded of the value of statistics, especially esoteric statistics, nevertheless have been known to quote the GNP—possibly because of its powers to impress audiences with the speaker's grasp of the "big picture." Politicians, too, have been extravagant in their admiration of GNP, most especially when it was rising at a brisk pace. Even the ubiquitous cocktail party has paid homage to the GNP as assorted junior executives, research assistants, housewives, and dancing instructors have pronounced on the latest GNP numbers with a solemn and knowing air. Now all that seems to be changing. GNP increasingly is coming under attack. Dr. Arthur F.…
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2
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Consider the following hypothesis test.
Ho: H = 15
На: и# 15
A sample of 50 provided a sample mean of 14.05. The population standard deviation is 3.
(a) Find the value of the test statistic. (Round your answer to two decimal places.)
(b) Find the p-value. (Round your answer to four decimal places.)
p-value
(c) At a = 0.05, state your conclusion.
Reject Ho. There is sufficient evidence to conclude that u # 15.
Reject Ho. There is insufficient evidence to conclude that u + 15.
Do not reject Ho. There is sufficient evidence to conclude that u + 15.
Do not reject Ho. There is insufficient evidence to conclude that u + 15.
O O O O
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Purchasing power parity (PPP) implies that exchange rate movements should
mirror relative price movements between countries in the long run. PPP holds if
exchange rate or relative prices adjust negatively to deviations between exchange
rates and relative prices. Using 147 annual observations between the U.S. and the
U.K. from 1871 to 2017, recent research finds an adjustment of -0.19 with a
sample standard deviation of 0.692.
a) Based on the research evidence, test if PPP holds at a 3% significance level.
Please show the full workings and justify the decision.
b) 1%, 5% or 10% levels of significance are only conventional levels of
significance. Illustrate how the level of significance is a choice and could vary
across contexts.
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Problem in economics:
Random samples of 400 men and 600 women
were asked whether they would like to have a
flyover near their residence. 200 men and 325
women were in favour of the proposal. Test the
hypothesis that proportions of men and
women in favour of the proposal, are same
against that they are not, at 5% level.
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the unemployment rate for 18- to 34-year-olds was reported to be 10.8% (the Cincinnati Enquirer, november 6, 2012). assume that this report was based on a random sample of four hundred 18- to 34-year-olds. a. a political campaign manager wants to know if the sample results can be used to conclude that the unemployment rate for 18- to 34-years-olds is significantly higher than the unemployment rate for all adults. according to the bureau of labor Statistics, the unemployment rate for all adults was 7.9%. develop a hypothesis test that can be used to see if the conclusion that the unemployment rate is higher for 18- to 34-year-olds can be supported.b. use the sample data collected for the 18- to 34-year-olds to compute the p-value for the hypothesis test in part (a). using a 5 .05, what is your conclusion?c. explain to the campaign manager what can be said about the observed level of significance for the hypothesis testing results using the p-value
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A tea company appoints four salesmen A, B, C and D and observes their sales in three months, April, May and June:
Months
Salesmen
A
B
C
D
April
36
36
21
35
May
28
29
31
32
June
26
28
29
29
Prepare a two – way analysis of variance table
Name the blocking variable and the treatment in this experiment.
Test at the 5% level of significance the null hypothesis that there is significant difference in sales made by the four salesmen
Test at the 5% level of significance the null hypothesis that there is significant difference in the sales made during different months.
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In a study aimed at creating reference values, abdominal circumference (measured in cm) was measured in adult men. It was found that the relationship to age could be described as abdominal circumference = 82 + 0.3 x age
a) What is the analysis that produces such a formula called?
b) At what age is the average abdominal circumference 100 cm?
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A shopper wanted to test whether there
was a difference in the average waiting
times at the check-out counter among 5
different supermarkets. She selected a
random sample of 20 shoppers from each
of the five supermarkets.
i. What is the null hypothesis for this
situation?
OThe average waiting time to check out is 25
minutes for all five supermarkets
OThe average waiting time for each of the
100 shoppers is different.
ONone of these
OThe average waiting time to check out is
the same for all five supermarkets
OThe average waiting time to check out is
not the same for all five supermarkets.
ii. What is the alternative hypothesis for
this situation?
OThe average waiting time to check out is 25
minutes for all five supermarkets
OThe average waiting time to check out is
the same for all five supermarkets
OThe average waiting time for each of the
100 shoppers is different.
ONone of these
OThe average waiting time to check out is
not the same for all five supermarkets.
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Why does a confidence interval contain more information than the resultof a single hypothesis test?
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Unanswered 4 attempts left
a
Fowle Marketing Research, Inc., bases charges to a client on the assumption that telephone surveys can be completed in a mean
time of 15 minutes or less. If a longer mean survey time is necessary, a premium rate is charged. Suppose a sample of 35 surveys
shows a sample mean of 17 minutes. Use o = 4 minutes.
a. Formulate the null and alternative hypotheses for this application.
Select an answer and submit. For keyboard navigation, use the up/down arrow keys to select an answer
b
Q2a
Homework Unanswered Due Apr 4th, 11:50 PM
d
U
Ho H15; HA 15
c Ho με 15; Η, : μ > 15
H : μ > 15; Μ, :μ 15
F Ho:μ > 15; H, μ < 15
8 Ho: H≤15: HA: µ ≥ 15
Unanswered. 4 attempts left
Submit
Q2b-d
Homework Unanswered Due Apr 4th, 11:59 PM
Submit
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Sir Francis Galton, a cousin of James Darwin, examined the relationship between the height of children and their parents towards the end of the 19th century. It is from
this study that the name "regression" originated. You decide to update his findings by collecting data from 110 college students, and estimate the following relationship:
Studenth=19.6+ 0.73x Midparh, R²=0.45, SER=2.0
(7.2) (0.10)
where Studenth is the height of students in inches, and Midparh is the average of the parental heights. Values in parentheses are heteroskedasticity robust standard
errors. (Following Galton's methodology, both variables were adjusted so that the average female height was equal to the average male height.) For the following
questions except (d), type your answers in two decimal places.
(a) If we test for the statistical significance of the slope coefficient, the relevant f-statistic is t =
(b) Construct a 95% confidence interval for a one inch increase in the average of parental height: (
(c)…
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y = B1 + B2x2 + 61D1 +82D2 +63 D3 + e
The above model is fitted to model wage (y) against the years
of education (x2).
The dummy variable D1 takes 1 for male; 0 for female.
The dummy variable D2 takes 1 for having children; 0 for
having no children.
The dummy variable D3 takes 1 for having PhD degree; 0 for
having not having PhD degrees.
Which coefficient measures the expected wage of female with
no children and no PhD degree wiren x2=0?
Select one:
O a. 63
O b. 62
OC. B1
O d. 61
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The score of 8 candidates prior and after training are given below Test the hypothesis whether performance improved after the training at 5% los.
Prior 84 48 36 37 54 69 83 96
After 90 58 42 44 62 81 84 86
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