In a 2018 poll conducted by SurveyMonkey, they randomly surveyed 368 students
from two- and four-year institutions across the U.S. According to the survey, 58% purchased at
least one of their textbooks on Amazon. What proportion of all U.S. college students purchased
at least one of their textbooks on Amazon?
a. Use StatCrunch to find a 95% confidence interval: _________________
b. Interpret your confidence interval in words.
c. True or False: A 90% confidence interval would be wider than a 95% confidence interval.
d. If the true proportion of all U.S. college students who purchased at least one of their
textbooks on Amazon was 62%, does our confidence interval support or refute it?
In: Statistics and Probability
Based on past experience, a bank believes that 7% of the people who receive loans will not make payments on time. The bank takes a random sample of 200 recently approved loans.
What values of sample proportions of clients who will not make timely payments would be unusual? Explain.
Construct and interpret a 95% confidence interval for the true proportion of clients who will not make timely payments.
Since the U.S. economy has changed, bank officials would like to do a new study to estimate the true proportion of clients who will not make timely payments. Assume you have no preconceived idea of what that proportion would be. What sample size is needed if you wish to be 99% confident that your estimate is within 2% of the true proportion.
Based on previous research, you assume the proportion of clients who will not make timely payments is 7%. What sample size is needed if you wish to be 99% confident that your estimate is within 2% of the true proportion.
In: Statistics and Probability
They have available 10 boxes of honey, 4 boxes of el Duende, 6 boxes of bimbos, 15 boxes of oreos . Each sells for 6$.
a) Define your random variable.
b) Determine the probability distribution and parameters for the random variable.
c)Suppose that, after two hours, ten boxes of them have been purchased. Determine the cumulative distribution function for the number of honey purchased.
d)Draw the probability distribution function for the number of honey purchased.
Some body please hurry
In: Statistics and Probability
A random sample of 64 observations is to be been drawn from a
distribution with mean
15 and standard deviation 10. Find the probability that the sample
mean, x̅ , will differ
from μ by no more than 2 units in either direction. Interpret your
results.
In: Statistics and Probability
According to a recent report, 46% of college student internships are unpaid. A recent survey of 60 college interns at a local university found that 31 had unpaid internships.
a. Use the five-step p-value approach to hypothesis testing and a 0.05 level of significance to determine whether the proportion of college interns that had unpaid internships is different from 0.46.
b. Assume that the study found that 3838 of the 6060 college interns had unpaid internships and repeat (a). Are the conclusions the same?
In: Statistics and Probability
The data below represent scores from three different therapies used to treat depressive symptoms. Scores represent depressive symptoms on a scale of 1-10, with higher scores indicating greater depressive symptoms.
Treatment 1 |
Treatment 2 |
Treatment 3 |
|
0 |
1 |
4 |
|
0 |
4 |
3 |
G = 24 |
0 |
1 |
6 |
ΣX2 = 92 |
2 |
0 |
3 |
_______ |
T1 = 2 |
T2 = 6 |
T3 = 16 |
|
SS1 = 3 |
SS2 = 9 |
SS3 = 6 |
a. SST is what?
b. SSW is what?
c. SSB is what?
d dfT is what?
e. dfW is what?
f. dfB is what?
g. MSB is what?
h. MSW is what?
i. F is what?
j. η2 is what?
k. Statistically significant?
l. Tukey HSD critical value is what?
m. APA Conclusion?
In: Statistics and Probability
Two employees are counting the number of broken eggs they find in the large 18 packs of eggs at the store they work at. The first employee records the following numbers of broken eggs in each pack:
0,0,1,1,1,1,1,2,2
(a) What is the median number of broken eggs in a pack?
(b) What is the mean number of broken eggs in a pack?
(c) What is the standard deviation of the number of broken eggs in
a pack?
Suppose the second employee reports checking 35 more packs, and found every single pack had 1 broken egg. For the next questions, we will analyze the data of both employees combined (so the above numbers, together with 35 more entries of 1). You don’t need to compute the following statistics, but you need to compare them to the answers from parts a, b, and c with only the first employee’s numbers.
(d) How will the new information from the second employee change the mean? Why?
(e) How will the new information from the second employee change the standard deviation? Why?
In: Statistics and Probability
A geological research institute tracks temperatures in various locations on the globe. To find out whether average temperatures have changed in the last 25 years, the average temperatures which were recorded for 30 locations in 1994 were compared to the average temperatures which were recorded in 2019 for those same locations. The result: The mean of the 30 temperature differences is 0.207 degrees Celsius, and their SD is 0.68 degrees Celsius.
What type of hypothesis test is appropriate? Justify your answer.
In: Statistics and Probability
3. The following data are weights of food (in kilograms) consumed per day by adult deer collected at different times of the year.
Month Weight of food consumed (kg)
Feb. 4.7, 4.9, 5.0, 4.8, 4.7
Mar. 4.6, 4.4, 4.3, 4.4, 4.1, 4.2
Oct. 4.8, 4.7, 4.6, 4.4, 4.7, 4.8
Dec. 4.9, 5.2, 5.4, 5.1, 5.6
(a) Is there any difference in the food consumption for all the months studied?
(b) If food consumption is not the same for all the months, which ones are different (you must show the test used and results for interpretation)?
In: Statistics and Probability
A consumer product testing organization uses a survey of readers to obtain customer satisfaction ratings for the nation's largest supermarkets. Each survey respondent is asked to rate a specified supermarket based on a variety of factors such as: quality of products, selection, value, checkout efficiency, service, and store layout. An overall satisfaction score summarizes the rating for each respondent with 100 meaning the respondent is completely satisfied in terms of all factors. Suppose sample data representative of independent samples of two supermarkets' customers are shown below.
Supermarket 1 | Supermarket 2 |
---|---|
n1 = 260 |
n2 = 300 |
x1 = 89 |
x2 = 88 |
(a) Formulate the null and alternative hypotheses to test whether there is a difference between the population mean customer satisfaction scores for the two retailers. (Let μ1 = the population mean satisfaction score for Supermarket 1's customers, and let μ2 = the population mean satisfaction score for Supermarket 2's customers. Enter != for ≠ as needed.)
H0:
Ha:
(b) Assume that experience with the satisfaction rating scale indicates that a population standard deviation of 15 is a reasonable assumption for both retailers. Conduct the hypothesis test.
Calculate the test statistic. (Use μ1 − μ2. Round your answer to two decimal places.)
test statistic =
Report the p-value. (Round your answer to four decimal places.)
p-value =
At a 0.05 level of significance what is your conclusion?
Reject H0. There is sufficient evidence to conclude that the population mean satisfaction scores differ for the two retailers.
Reject H0. There is not sufficient evidence to conclude that the population mean satisfaction scores differ for the two retailers.
Do not reject H0. There is not sufficient evidence to conclude that the population mean satisfaction scores differ for the two retailers.
Do not reject H0. There is sufficient evidence to conclude that the population mean satisfaction scores differ for the two retailers.
(c) Which retailer, if either, appears to have the greater customer satisfaction?
Supermarket 1, Supermarket 2, or neither
Provide a 95% confidence interval for the difference between the population mean customer satisfaction scores for the two retailers. (Use x1 − x2. Round your answers to two decimal places.)
In: Statistics and Probability
The members of a consulting firm rent cars from three rental
agencies. It is estimated that 0.39 percent of cars come from
agency 1, 0.08 percent of cars come from agency 2, and 0.53 percent
of cars come from agency 3. It is also estimated that 0.07 percent
of cars from agency 1 need a tune-up, 0.05 percent of cars from
agency 2 need a tune-up, and 0.03 percent of cars from agency 3
need a tune-up. Answer the following questions, rounding your
answers to two decimal places where appropriate.
(a) What is the probability that a rental car
delivered to the firm will need a tune-up?
(b) If a rental car delivered to the firm needs a
tune-up, what is the probability that it came from agency 2?
In: Statistics and Probability
A judging panal of 7people is to be randomly selected from 8 teachers and 20 students.What is the probability that there are more students than teachers on the panal?
In: Statistics and Probability
A sample of 8 children in the 5th grade of North Stratfield
School run the 100 meter dash in a average time of 20.2 seconds.
Assume the bias adjusted sample standard deviation of the
individual 100 meter dash times is 7.1 seconds.
Construct a 99% confidence interval for μ, the true population mean
100 meter dash time. Since n is small, the t statistic will be used
in deriving this confidence interval.
What is the degrees of freedom parameter that should be used to
derive the t-value?
In: Statistics and Probability
The Crown Bottling Company has just installed a new bottling
process that will fill 16-ounce bottles of the popular Crown
Classic Cola soft drink. Both overfilling and underfilling bottles
are undesirable: Underfilling leads to customer complaints and
overfilling costs the company considerable money. In order to
verify that the filler is set up correctly, the company wishes to
see whether the mean bottle fill, μ, is close to the
target fill of 16 ounces. To this end, a random sample of 39 filled
bottles is selected from the output of a test filler run. If the
sample results cast a substantial amount of doubt on the hypothesis
that the mean bottle fill is the desired 16 ounces, then the
filler’s initial setup will be readjusted.
(a) The bottling company wants to set up a
hypothesis test so that the filler will be readjusted if the null
hypothesis is rejected. Set up the null and alternative hypotheses
for this hypothesis test.
H0 : μ (Click to select)≠= 16 versus
Ha : μ (Click to select)=≠ 16
(b) Suppose that Crown Bottling Company decides
to use a level of significance of α = 0.01, and suppose a
random sample of 39 bottle fills is obtained from a test run of the
filler. For each of the following four sample means— x¯x¯ = 16.05,
x¯x¯ = 15.95, x¯x¯ = 16.03, and x¯x¯ = 15.97 — determine whether
the filler’s initial setup should be readjusted. In each case, use
a critical value, a p-value, and a confidence interval.
Assume that σ equals .1. (Round your z to 2 decimal places
and p-value to 4 decimal places and CI to 3 decimal
places.)
x¯x¯ = 16.05
z | |
p-value | |
CI
[,
] (Click to select)Do not readjustReadjust
x¯x¯ = 15.95
z | |
p-value | |
CI
[,
] (Click to select)Do not readjustReadjust
x¯x¯ = 16.03
z | |
p-value | |
CI
[,
] (Click to select)Do not readjustReadjust
x¯x¯ = 15.97
z | |
p-value | |
CI
[,
] (Click to select)ReadjustDo not readjust
In: Statistics and Probability
I would like to test a hypothesis that the percentage of people who consider themselves as conservatives today is lower than it was 20 years ago. Conveniently enough, my old professor has data from 20 years ago when he conducted a similar survey. The number of people 20 years ago who identified as conservative in his survey was 314 out of 612 total. I conduct a survey today and find that out of the 415 people i surveyed, 198 considered themselves to be conservative. If i wish to present my findings with a level of significance of .05, what conclusion would i draw?
options:
based on the data, there's evidence of a decrease in those who identify as conservative.
based on the data, there's no evidence of a decrease in those who identify as conservative.
based on the data, there's evidence of an increase in those who identify as conservative.
based on the data, there's no evidence of an increase in those who identify as conservative.
In: Statistics and Probability