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STAT 250 Summer 2019 Data Analysis Assignment 3
Your submitted document should include the following items. Points will be deducted if the
following are not included.
1.
Type your Name and STAT 250 with your correct section number (e.g. STAT 250-xxx)
right justified and then Data Analysis Assignment #3 centered on the top of page 1
2.
3.
corresponding number and subpart. Keep the answers in order. Do not include the
4.
Generate all requested graphs and tables using StatCrunch.
5.
6.
You may not work with other individuals on this assignment. It is an honor code
violation if you do. In addition, using materials for a previous semester of STAT 250
(whether your own or someone else’s) is cheating.
Elements of good technical writing:
Use complete and coherent sentences to answer the questions.
Graphs must be appropriately titled and should refer to the context of the question.
Graphical displays must include labels with units if appropriate for each axis.
Units should always be included when referring to numerical values.
When making a comparison you must use comparative language, such as “greater than”, “less
than”, or “about the same as.”
Ensure that all graphs and tables appear on one page and are not split across two pages.
Type all mathematical calculations when directed to compute an answer ‘by-hand.’
Pictures of actual handwritten work are not accepted on this assignment.
When writing mathematical expressions into your document you may use either an equation
editor or common shortcuts such as:
x can be written as sqrt(x), p̂ can be written as p-hat, x
can be written as x-bar.
1
Problem 1: Confidence Interval for Percentage of Fs.
The data set “STAT 250 Final Exam Scores” contains a random sample of 269 STAT 250
students’ final exam scores (maximum of 80) collected over the past two years. Answer the
following questions using this data set.
a) What proportion of students in our sample earned Fs on the final exam? A letter grade of
F is obtained with a score below 48 (i.e. 47 or lower). Hint: You can do this many ways,
but in StatCrunch, go to Data → Row Selection → Interactive Tools. In the slider
selectors box, click the variable “Scores” into the variable box. Then click compute. Use
the slider to obtain the count by looking at the “# rows selected” presented in the first line
of the box. Show your work (i.e. describe the method you used to obtain the number of
Fs) and express this value as a proportion rounded to four decimal places.
b) Assuming there is a big population of students who have completed the final exam in
STAT 250, write one sentence each to check the two other conditions of the Central
Limit Theorem.
c) Using the sample proportion obtained in (a), construct a 90% confidence interval to
estimate the population proportion of students who earned an F on the final exam. Please
images accepted here). Round your confidence limits to four decimal places.
d) Verify your result from part (b) using Stat → Proportions Stats → One Sample → With
Summary. Inside the box, enter the number of students who earned an F as the # of
successes, the sample size as the # of observations, and select confidence interval and
e) Interpret the StatCrunch confidence interval in part (c) in one sentence using the context
of the question.
f) Use the Confidence Interval applet (for a Proportion) in StatCrunch to simulate
constructing one thousand 90% confidence intervals assuming the proportion of Fs in the
population is p = 0.20 and the sample size n = 269. Once the window is open, click reset
and select (or click) 1000 intervals. Copy and paste your image into your document.
2
Box 1: Enter the given
population proportion, 0.20.
Box 2: Enter the given
confidence level 0.90.
Box 3: Enter the given sample
size, n = 269.
g) Compare the “Prop. contained” value from part (f) to the confidence level associated with
the simulation in one sentence.
h) Write a long-run interpretation for your confidence interval method in context in one
sentence.
Problem 2: Food Delivery Robots
As we all know, GMU began a robot food delivery service in January. One of the potential
benefits of this service is to help the busiest students eat breakfast. Research has shown that
about 88% of college students skip breakfast due to busy schedules and other reasons. Initial
data were collected from a random sample of 291 Mason students who utilize the robot food
delivery service and are presented in StatCrunch. The responses (0 = ate breakfast and 1 = did
not eat breakfast) are found in StatCrunch in a data set called “Food Delivery Robots.”
a) Obtain the sample proportion of individuals who said “they did not eat breakfast” using
Stat → Tables → Frequency in StatCrunch. Only the value of the sample proportion is
needed in your answer. Present this sample proportion as a decimal rounded to 4 decimal
places.
b) Is there sufficient evidence to conclude that less than 85% GMU students who utilize the
food delivery robots skip breakfast? Using  = 0.01, conduct a full hypothesis test to
answer the question in part (b) by following the steps below.
i.
ii.
iii.
iv.
Define the population parameter in one sentence.
State the null and alternative hypotheses using correct notation.
State the significance level for this problem.
Check the three conditions of the Central Limit Theorem that allow you to use
the one-proportion z-test using one complete sentence for each condition. Show
work for the numerical calculation. Assume the population is large.
3
v. Calculate the test statistic “by-hand.” Show the work necessary to obtain the
value by typing your work and provide the resulting test statistic. Do not round
while doing the calculation. Then, round the test statistic to two decimal places
after you complete the calculation.
vi. Calculate the p-value using the standard Normal table and provide the answer.
Use four decimal places for the p-value.
vii. State whether you reject or do not reject the null hypothesis and the reason for
your decision in one sentence (compare your p-value to the significance level to
do this).
viii. State your conclusion in context of the problem (i.e. interpret your results and/or
answer the question being posed) in one or two complete sentences.
ix. Use StatCrunch (Stat → Proportion Stats → One Sample → with Data) to verify
your test statistic and p-value. Copy and paste this box into your document.
c) Extra Credit (5pt) Is there sufficient evidence to conclude that less than 85% GMU
students who utilize the food delivery robots skip breakfast? Use the informal method
presented in the 7/3 L12 lecture slides. Begin with Applets → Simulation → Coin
Flipping. Set the probability of heads as 0.85 and the number of coins as 291. Simulate
this process 10000 times (by clicking 1000 runs 10 times). Provide your image, an
interpretation of your probability < 244, and a statement about whether you believe this happened by chance alone. You do not need to complete this part, but if you do you have a chance to earn 5 bonus point towards your Data Analysis 3 score. Good luck.
Problem 3: Electric Cars (No StatCrunch Data Set)
According to both a Consumer Report’s and a AAA survey, about 1 in 5 Americans will buy an
electric car as their next vehicle. To test this claim, an independent surveyor obtained records for
2018 car sales. The surveyor generated a random sample of 285 car sales and found that 80 of
these new car purchases were of electric cars.
a) Check the three conditions of the Central Limit Theorem that allow you to use the OneProportion Confidence Interval using one complete sentence for each condition. Show
work for the numerical calculation.
b) Construct a 95% confidence interval to estimate the population proportion of Americans
new car purchases that were electric. Calculate this “by hand” using the formula and
confidence limits to four decimals.
c) Verify your result in part (a) using Stat → Proportions Stats → One Sample → With
Summary. Copy and paste your StatCrunch result in your document as well.
d) Using  = 0.05, is there sufficient evidence to conclude that the proportion of Americans
who purchased an electric car is different from 0.2? Conduct a full hypothesis test by
following the steps below. Enter an answer for each of these steps in your document.
4
i.
ii.
iii.
iv.
v.
vi.
vii.
viii.
Define the population parameter in one sentence.
State the null and alternative hypotheses using correct notation.
State the significance level for this problem.
Calculate the test statistic “by-hand.” Show the work necessary to obtain the
value by typing your work and provide the resulting test statistic. Do not round
during the calculation. Then, round the test statistic to two decimal places after
you complete the calculation.
Calculate the p-value using the standard Normal table and provide the answer.
Use four decimal places for the p-value.
State whether you reject or do not reject the null hypothesis and the reason for
your decision in one sentence (compare your p-value to the significance level to
do this).
State your conclusion in context of the problem (i.e. interpret your results and/or
answer the question being posed) in one or two complete sentences.
Use StatCrunch (Stat → Proportion Stats → One Sample → with Summary) to
verify your test statistic and p-value. Copy and paste this box into your
document.
e) Explain the connection between the confidence interval and the hypothesis test in this
problem (discuss this in relation to the decision made from your hypothesis test and
connect it to the confidence interval you constructed in part (b)). Answer this question in
one to two sentences.
Problem 4: Building another Sampling Distribution (No StatCrunch Data Set)
We will use the Sampling Distribution applet in StatCrunch to investigate properties of sampling
distributions of the mean for a right skewed distribution. Under Applets, open the Sampling
distribution applet (box shown below). First, select “right skewed” for the population and then
click on Compute.
a) Once the applet box is opened, enter 3 in the box to the right of the words “sample size”
in the right middle of the applet box window. Then, at the top of the applet, click “1
time.” Watch the resulting animation. When the sample is completed, copy and paste the
entire applet box (using options → copy) into your document.
b) Click Reset at the top of the applet. Then, click the “1000 times” to take 1000 samples of
size 3. Copy and paste the applet image into your document.
c) Describe the shape of the Sample means graph at the bottom of your image from part (b)
in one sentence.
d) Why do you think that this graph does not have an approximately Normal shape? Use the
Central Limit Theorem large sample size condition (for means) to answer this question in
one sentence.
5
e) Click Reset at the top of the applet. Type 42 in the sample size box. Then, click the
“1000 times” to take 1000 samples of size 42. Copy and paste the applet image into your
document.
f) Describe the shape of the Sample means graph at the bottom of your image from part (e)
in one sentence.
g) Why do you think that this graph from part (f) has the shape you described? Use the
Central Limit Theorem large sample size condition to answer this question in one
sentence.
h) Using the image in part (e), write the values you obtained for the mean (in green) and the
standard deviation (in blue). These values are found in the bottom right box labeled
“Sample Means”
i) Compare the mean value (in green, found in part (h)) to the known mean of the
population from the top box labeled “Population.”
j) Now calculate the standard error of the sample mean using the value labeled “Std. dev.”
in blue from the top box. Round this value to three decimal places.
k) Compare the value in part (j) to the standard deviation (in blue) you obtained in part (h)
in one sentence.
l) Assuming this right skewed population distribution had a population mean of 14.05 and a
standard deviation of 11.83; calculate the probability that, in a random sample of 42, the
mean of the sample is greater than 15. First, draw a picture with the mean labeled, shade
the area representing the desired probability, standardize, and use the Standard Normal
Table (Table 2 in your text) to obtain this probability. Please take a picture of your hand
drawn sketch and upload it to your Word document (if you do not have this technology,
you may use any other method (i.e. Microsoft paint) to sketch the image). You must type
the rest of your “by hand” work to earn full credit.
m) Verify your answer in part (l) using the StatCrunch Normal calculator and copy that
image into your document. In addition, write one sentence to explain what the
probability means in context of the question.
6
1
Sample Solution to Display Formatting
A random sample of 30 students was selected from a STAT 250 course taught during the
summer session and their first exam scores were recorded.
a) Create a histogram in StatCrunch. Be sure to title and label it correctly.
b) Interpret the histogram’s shape
See sample solution and formatting on page 2.
Following the main points will help you submit a professionally completed assignment.
1)
2)
3)
4)
Right justify your name and provide your correct section and the due date.
Center the specific homework assignment title.
Bold each problem complete problem number.
The graph can be around the below size for readability (click on the graph once and only
adjust the size of the graph by using the bottom right dot)
keep the assignment in problem and part order (present 1a, then 1b, and so on).
2
Kenneth Strazzeri
Data Analysis Assignment 1
Problem X
a)
b) The shape of this distribution is left skewed because I see the majority of the data values
falling in the upper end of the distribution and a few 50s and 60s skewing the shape. There does
not seem to be any outliers visible on the graph.

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