Question

A: 3.9, 2.5, 2.8, 4.7, 3.5, 4.0, 1.8, 4.7, 2.2, 1.6, 3.5, 2.7, 2.7, 2.8

B: 21,111, 20,268, 22,204, 20,337, 21,441, 21,123, 21,578, 21,566, 20,276, 22,233, 21,386

For each of the above sets of sample data, calculate the coefficient of variation, CV.

Answer #1

Build a stem-and-leaf plot for these measurements
3.1
4.9
2.8
3.6
2.5
4.5
3.5
3.7
4.1
4.9
2.9
2.1
3.5
4.0
3.7
2.7
4.0
4.4
3.7
4.2
3.8
6.2
2.5
2.9
2.8
5.1
1.8
5.6
2.2
3.4
2.5
3.6
5.1
4.8
1.6
3.6
6.1
4.7
3.9
3.9
4.3
5.7
3.7
4.6
4.0
5.6
4.9
4.2
3.1
3.9
A. Describe the form of data distribution. Do you notice any
unusual results?
B. Use the stem-and-leaf plot to find the minimum
observation....

Determine correlation coefficient and determination coefficient.
plastic waste
0.5
1.0
2.0
1.8
2.2
2.8
3.9
3.0
5.5
family size
2
2
3
3
3
4
5
5
8
Correlation coefficient (r)
determination coefficient. (r2)

Use the data in Bank Dataset to answer this question.
Construct a 95% confidence interval for the mean increase in
deposits. Note that the population standard deviation σ is not
known in this case. Instead the sample standard deviation s should
be calculated from the sample and the t distribution should be
used.
2. What is the margin of error at the 95% confidence level?
Bank Dataset of Increase in deposits. Mean is 4. Sample size is
152 customers.
4.3...

Use the following information to answer the next ten
questions. The data that follow are the square footage (in
1,000 feet squared) of 28 homes.
1.5
2.4
3.6
2.6
1.6
2.4
2.0
3.5
2.5
1.8
2.4
2.5
3.5
4.0
2.6
1.6
2.2
1.8
3.8
2.5
1.5
2.8
1.8
4.5
1.9
1.9
3.1
1.6
The sample mean = 2.50 and the sample standard deviation =
0.8302.
The distribution can be written as X ~ U(1.5,
4.5).
Find the theoretical mean.
Find...

Listed in the accompanying data table are student evaluation
ratings of courses and professors, where a rating of 5 is for
"excellent." Assume that each sample is a simple random sample
obtained from a population with a normal distribution.
a. Use the 93 course evaluations to construct a 98%
confidence interval estimate of the standard deviation of the
population from which the sample was obtained.
b. Repeat part (a) using the 93 professor
evaluations.
c. Compare the results from part...

8. H = 2.1 Li = 1.0 Be = 1.5 B = 2.0 C = 2.5 N = 3.0 O= 3.5 F =
4.0 Na = 1.0 Mg = 1.2 Al = 1.5 Si = 1.8 P = 2.1 S = 2.5 Cl = 3.0 K
= 0.8 Ca = 1.0 Ga = 1.6 Ge = 1.8 As = 2.0 Se = 2.4 Br = 2.8 Use the
electronegativities above and your knowledge of the shape of HCCH
to determine...

The data that follow are the square footage (in 1000 feet
squared) of 28 homes.
1.5
2.4
3.6
2.6
1.6
2.4
2.0
3.5
2.5
1.8
2.4
2.5
3.5
4.0
2.6
1.6
2.2
1.8
3.8
2.5
1.5
2.8
1.8
4.5
1.9
1.9
3.1
1.6
The sample mean = 2.50 and the sample standard deviation =
0.8302.
The distribution can be written as X
~ U(1.5, 4.5).
a. What type of distribution is this?
b. In this distribution, outcomes are equally likely....

We wish to determine the impact of Specification Buying, X11, on
Satisfaction Level, X10. To do so we will split the Hatco data file
into two separate data sets based on the Specification Buying, X11.
This variable has two categories:
1=employs total value analysis approach, evaluating each
purchase separately;
0 = use of specification buying.
Sort the entire Hatco data set based on Specification Buying.
This will create two separate groups of records. Those records with
X11 = 0 and...

Consider the following sets of sample data:
A: B:
284 3.77
373 3.48
400 3.57
349 3.49
358 3.57
414 4.66
363 4.70
409 4.50
374 3.72
328 3.15
444 2.99
403
390
326
For each of the above sets of sample data, calculate the
coefficient of variation, CV. Round to one decimal place.

Research Scenario: Is there a positive
relationship between grit and GPA in high school seniors? A
researcher examined this issue by having students beginning their
senior year of high school complete a grit inventory using a
Likert-based scale (range 1 – 7), where higher numbers indicate
more “grit”. GPA was self-reported (scale 0 – 4.0). Enter the data
shown here into SPSS to assess whether there is a positive
relationship between grit and GPA.
Grit
GPA
6.5
4.0
4.0
3.1...

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