Question

**For each of the following two-samples t-tests (problems
1-6): (a) Determine if a F test for the ratio of two variances is
appropriate to calculate for the context. If it is appropriate,
conduct the analysis and report the result. Include what
statistical conclusion you should draw from the analysis (i.e.,
whether you should conduct a pooled-variance t-test or an
unequal-variances t-test). (b) Identify the most appropriate t-test
to conduct for the situation/data given. Don’t forget to consider
if the context requires one/two-tail tests. (c) Provide a
statistical and practical interpretation of your
findings.**

3. How does cellphone service compare between different cities?
The data stored in CellService represents the rating of Verizon and
AT&T in 22 different cities (Data extracted from “Best Phones
and Services,” *Consumer Reports*, January 2012, p. 28, 37).
Is there evidence of a difference in the mean cellphone service
rating between Verizon and AT&T? (Use a 0.05 level of
significance)

City |
Verizon |
AT&T |

Atlanta | 56 | 74 |

Austin | 61 | 72 |

Boston | 60 | 69 |

Chicago | 55 | 73 |

Dallas-Fort Worth | 65 | 76 |

Denver | 56 | 72 |

Detroit | 63 | 73 |

Houston | 59 | 77 |

Kansas City | 66 | 74 |

Los Angeles | 56 | 73 |

Miami | 61 | 74 |

Milwaukee | 60 | 74 |

Minneapolis-St.Paul | 60 | 71 |

New York | 57 | 71 |

Philadelphia | 63 | 71 |

Phoenix | 62 | 76 |

San Diego | 60 | 74 |

San Francisco | 53 | 73 |

Seattle | 59 | 72 |

St. Louis | 64 | 73 |

Tampa | 67 | 73 |

Washington D. C. | 60 | 71 |

Answer #1

Notes:
Please type your work, or 10% credits will be deducted
Show your work for full credits
Follow the six steps for hypothesis testing
If Excel is used, please copy and paste Excel Output as part of
your answer
How does cellphone service compare between different cities? The
data stored in CellServicee represent the rating of Verizon and
AT&T in 22 different cities. (Data extracted
from “Best Phones and Service,” Consumer Reports, January 2012, p.
28, 37.)
At the 0.05...

Refer to the accompanying data set and construct a 95%
confidence interval estimate of the mean pulse rate of adult
females; then do the same for adult males. Compare the results.
Males Females
81
82
72
94
52
57
59
66
51
54
62
80
52
77
74
85
51
89
62
57
73
35
61
64
62
87
80
74
80
79
63
62
63
67
97
76
43
60
85
65
72
86
66
85
73
69
72 ...

A high-school student has scored the following marks in a series
of tests administered over 10 weeks in mathematics and 2 science
subjects, Physics and Chemistry. The school management is
interested to know if there is any correlation between his
performance in Mathematics and the sciences.
Mathematics
78
74
68
85
57
67
73
61
70
66
Physics
73
69
60
81
62
63
75
64
63
59
Chemistry
71
72
63
79
67
60
71
68
69
63
Required:...

The test scores of 40 students are listed below.
30
35 43 44 47 48 54 55 56 57
59
62 63 65 66 68 69 69
71 72
72
73 74 76 77 77 78 79 80 81
81 82 83 85 89
92 93 94 97
98
a)
Find the lower and upper quartiles for the data.
b)
Find the interquartile range.
c)
Draw the box-and-whisker diagram for the data.

In what follows use any of the following tests/procedures:
Regression, multiple regressions, confidence intervals, one-sided
t-test or two-sided t-test. All the procedures should be done with
5% P-value or 95% confidence interval.
Upload the data HeartRate_Exercise. These data are based on 45
randomly chosen high school students.
SETUP: Is it reasonable to claim that students who
exercise more have lower heart beat rate at rest. Given the data
your job is to confirm or disprove this claim.
5. What test/procedure...

StudentNO
Gender
Height in inchese
1
Female
63
2
Female
64.0
3
Male
67.0
4
Female
59
5
Male
60
6
Female
61
7
Female
62
8
Female
63
9
Female
63
10
Female
64
11
Male
64
12
Female
65
13
Female
65
14
Female
65
15
Female
65
16
Female
66
17
Female
66
18
Male
67
19
Male
67
20
Male
67
21
Female
67
22
Male
67
23
Male
67
24
Female
67.5
25
Male
68...

You are currently working at NCLEX Memorial Hospital in the
Infectious Diseases Unit. Over the past few days, you have noticed
an increase in patients admitted with a particular infectious
disease. You believe that the ages of these patients play a
critical role in the method used to treat the patients. You decide
to speak to your manager, and together you work to use statistical
analysis to look more closely at the ages of these patients.
The data set consists...

Below represent scores on an exam, each entry one score for one
student
40
99
59
98
63
63
64
65
67
35
67
67
68
70
71
71
71
46
72
72
60
73
74
74
74
75
97
75
62
76
76
76
76
76
77
57
77
98
77
63
78
78
78
79
79
80
80
80
80
80
81
81
92
81
93
82
82
83
83
83
83
83
83
83
84
84
84...

Kuya heard that oldest children tend to be more miserable about
life than their youngest siblings (not taking into consideration
the number of siblings in between). Kuya gathered data from 33
families and measured their scores on a misery scale. The lower the
score, the more miserable the person tends to be.
MISERY SCALE
SCORES
Oldest
Youngest
62
62
80
67
70
62
56
66
86
71
79
63
68
64
67
64
62
73
74
71
68
70
69...

The authors used a more advanced statistical method than is
covered by this course, however, you can apply what you know about
hypotheses and statistical tests to understand their approach.
Present hypotheses and conduct the appropriate statistical test to
assess if the intervention and control groups differed in their
Trail Making Test B results at follow-up (see Table 2). Comment on
whether the conditions were met for using the selected test,
include the StatCrunch output, and interpret your results in...

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