Question

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.

C. Find the eighth and ninth largest observations

Answer #1

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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...

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...

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 data set.
4.6
3.3
3.6
3.8
3.4
3.8
4.4
4.7
3.7
3.4
4.4
4.3
4.0
3.8
4.4
4.5
3.5
4.1
4.3
3.9
3.5
3.4
3.8
3.9
1. Recall the proper memories to find the mean.
2. Recall the proper memories to find the standard deviation.
(Round your answer to four decimal places.)
3. Calculate the range.
4. The range is approximately how many standard deviations?
(Round your answer to one decimal place.)
The range is approximately ___...

length (in inches) of flowers in an experiment are given
below.
4.1
2.5
4.5
3.6
2.8
5.1
2.9
5.1
1.2
1.6
Compute the sample mean and the sample standard deviation and use
them to find a 90% confidence interval for the mean. Use four
decimal places precision for the intermediate steps.
(2.67,4.01)
(2.55,4.13)
(2.63,4.05)
(2.74,3.94)
(2.59,4.09)

SHOW ALL WORK. DO NOT USE SOFTWARE TO GENERATE ANSWERS.
Calculate the R-chart and X-bar chart limits for the data given
below.
Day
A
B
C
D
1
7.2
8.4
7.9
4.9
2
5.6
8.7
3.3
4.2
3
5.5
7.3
3.2
6.0
4
4.4
8.0
5.4
7.4
5
9.7
4.6
4.8
5.8
6
8.3
8.9
9.1
6.2
7
4.7
6.6
5.3
5.8
8
8.8
5.5
8.4
6.9
9
5.7
4.7
4.1
4.6
10
3.7
4.0
3.0
5.2
11
2.6
3.9...

Unemployent Rate (Y)
High School (X)
Bachelor's (X)
3.1
36017.0
34912.0
3.0
36452.0
36026.0
3.7
36078.0
36516.0
4.6
35778.0
37392.0
4.9
35857.0
38564.0
4.4
35944.0
39287.0
4.0
36398.0
40219.0
3.6
36702.0
41644.0
3.6
36858.0
43181.0
4.6
36097.0
43953.0
7.9
34487.0
43537.0
8.2
34293.0
43841.0
7.6
33823.0
44830.0
6.8
33718.0
46293.0
6.1
33619.0
47534.0
5.0
33865.0
48850.0
4.3
33402.0
50793.0
4.0
33801.0
52372.0
3.6
34210.0
53970.0
3.2
34550.0
55992.0
3.0
34837.0
57651.0
Be sure that your two X series are independent...

Use the standard normal distribution or the t-distribution to
construct a
99%
confidence interval for the population mean. Justify your
decision. If neither distribution can be used, explain why.
Interpret the results.
In a recent season, the population standard deviation of the
yards per carry for all running backs was
1.31.
The yards per carry of 25 randomly selected running backs are
shown below. Assume the yards per carry are normally
distributed.
1.3
5.8
6.1
5.6
7.3
7.1
4.7
2.8...

Problem Set 4: One way repeated measures ANOVA
Research Scenario: A savvy business owner wanted to assess
whether type of background music influenced the amount of money
spent. For four Saturdays, he varied the type of background music
being played: pop, rock, classical, and country. Amount of money
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Pop
Rock
Classical
Country
5.2...

Year
Unemployment rate
gdp growth
cpi
inflation rate
1980
7.2
-0.2
87
1981
7.6
2.6
94
8.05
1982
9.7
-1.9
97.6
3.83
1983
9.6
4.6
101.3
3.79
1984
7.5
7.3
105.3
3.95
1985
7.2
4.2
109.3
3.80
1986
7.0
3.5
110.5
1.10
1987
6.2
3.5
115.4
4.43
1988
5.5
4.2
120.5
4.42
1989
5.3
3.7
126.1
4.65
1990
5.6
1.9
133.8
6.11
1991
6.9
-0.1
137.9
3.06
1992
7.5
3.6
141.9
2.90
1993
6.9
2.7
145.8
2.75
1994
6.1
4.0...

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