Question

Kuya is relocating to China to manage a local branch of world news broadcasting station. He needs to decide on which mobile phone providers he should select based on a sample data of monthly charges from various subscribers. He came to you with the data to determine the provider with the lowest charges, on the average. Which provider would you advise Kuya to select?

Mobile | Unicom | Telecom |

62 | 60 | 62 |

55 | 71 | 58 |

69 | 64 | 68 |

58 | 65 | 57 |

56 | 67 | 63 |

63 | 64 | 57 |

63 | 71 | 69 |

63 | 72 | 68 |

64 | 65 | 67 |

64 | 64 | 69 |

64 | 65 | 68 |

64 | 70 | 60 |

57 | 71 | 63 |

61 | 64 | 69 |

59 | 68 | 69 |

57 | 67 | 66 |

57 | 72 | 62 |

53 | 71 | 66 |

51 | 64 | 67 |

62 | 68 | 62 |

59 | 72 | 60 |

71 | 65 | 59 |

59 | 73 | 57 |

58 | 72 | 59 |

68 | 73 | 65 |

The appropriate test for this problem is:

one-way ANOVA |

repeated measurements |

The obtained statistic is:

F = 17.7 |

F = 1.77 |

F = 7,71 |

F = .177 |

The associated p value is:

< .05 |

< .01 |

< .001 |

< .0001 |

Decision is:

reject the null |

retain the null |

Conclusion is:

1)go with Mobile |

2)go with Unicom |

3)a toss up between Mobile and Unicom |

4)no conclusion can be drawn |

Answer #1

applying one way ANOVA on above data:

Groups | Count | Sum | Average | Variance | |

Mobile | 25 | 1517 | 60.68 | 23.47667 | |

Unicom | 25 | 1698 | 67.92 | 13.99333 | |

Telecom | 25 | 1590 | 63.6 | 18.75 | |

ANOVA | |||||

Source of Variation | SS | df | MS | F | P-value |

Between Groups | 663.39 | 2.00 | 331.69 | 17.70 | 0.0000 |

Within Groups | 1349.28 | 72.00 | 18.74 | ||

Total | 2012.67 | 74.00 |

The appropriate test for this problem is- one-way ANOVA

The obtained statistic is: F = 17.7

The associated p value is: < .0001

Decision is: reject the null

Conclusion is: 1)go with Mobile

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...

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:...

DaughtersHeight.sav is a data set on the height of
adult daughters and the heights of their mothers and fathers, all
in inches. The data were extracted from the US Department of Health
and Human Services, Third National Health and Nutrition Examination
Survey? Analyze these data with child height as the dependent
variable. What can you conclude? Can female daughter height be
related to the height of the father and/or the mother? Conduct a
separate analysis with Type I and Type III...

Question 1: Table 1 shows the number of customers visited by a
salesman over an 80-week period. Table 1: Customers Visited Over an
80-Week Period 68 64 75 82 68 60 62 88 76 93 73 79 88 73 60 93 71
59 85 75 61 65 75 87 74 62 95 78 63 72 66 78 82 75 94 77 69 74 68
60 96 78 89 61 75 95 60 79 83 71 79 62 67 97 78...

Kuya teaches a two-trimester course in Passionate Analysis
Involving Numbers (PAIN). He would like to know if these students
improved their scores in their second trimester of the course. Is
there a significant difference in PAIN scores? Apparently a couple
students were too 'pained' and dropped out after the first
trimester (too bad so sad).
STUDENT
TRIMESTER 1
TRIMESTER 2
1
69
78
2
76
79
3
70
81
4
71
5
75
57
6
61
55
7
67
59...

TestScore
53
53
56
56
56
58
58
58
59
59
59
60
60
62
63
63
63
64
65
65
66
67
67
67
67
68
69
69
69
69
71
71
72
72
72
72
73
73
73
73
73
74
75
75
75
76
76
76
76
77
77
77
77
77
78
78
78
79
79
79
79
80
80
80
80
80
80
81
81
81
82
82
83
83
83
83
84
84
84...

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...

Use ? to approximate σ. Use a 5% level of significance.
Data:
69
62
75
66
68
57
61
84
61
77
62
71
68
69
79
76
87
78
73
89
81
73
64
65
73
69
57
79
78
80
79
81
73
74
84
83
82
85
86
77
72
79
59
64
65
82
64
70
83
89
69
73
84
76
79
81
80
74
77
66
68
77
79
78
77

Using the data below, compute the following predicted
values.
70 62.5
69 64.6
64 69.1
71 73.9
68 67.1
66 64.4
74 71.1
73 71.0
62 67.4
69 69.3
67 64.9
68 68.1
72 66.5
66 67.5
72 66.5
68 70.3
71 67.5
67 68.5
71 71.9
75 67.8
64 58.6
65 64.7
67 65.3
72 61.0
72 65.4
72 67.4
67 60.9
71 63.1
66 60.0
75 71.1
69 62.2
70 67.2
69 63.4
62 68.4
66 62.2
76...

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