A-1 and b-2

Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter7: Analytic Trigonometry
Section7.6: The Inverse Trigonometric Functions
Problem 91E
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A-1 and b-2
Many attempts have been made to relate happiness with various factors. One such study
relates happiness with age and finds that holding everything else constant, people are
least happy when they are in their mid-40s (The Economist, December 16, 2010). The
accompanying table shows a portion of data on a respondent's age and his/her
perception of well-being on a scale from 0 to 100. [You may find it useful to reference
the t table.]
Happiness
Age
62
49
66
51
72
69
BClick here for the Excel Data File
a-1. Calculate the sample correlation coefficient between age and happiness. (Round
intermediate calculations to at least 4 decimal places and final answer to 4 decimal
places.)
Sample correlation coefficient
a-2. Interpret the sample correlation coefficient between age and happiness.
The correlation coefficient indicates a positive linear relationship.
The correlation coefficient indicates a negative linear relationship.
The correlation coefficient indicates no linear relationship.
b-1. Specify the competing hypotheses in order to determine whether the population
correlation between the age and happiness differs from zero.
Ho: Pxy = 0; HA: Pxy = 0
Ho: Pxy s 0; HẠ: Pxy > 0
Ho: Pxy 2 0; HA: Pxy < 0
b-2. Calculate the value of the test statistic. (Round intermediate calculations to at
least 4 decimal places and final answer to 3 decimal places.)
Test statistic
Transcribed Image Text:Many attempts have been made to relate happiness with various factors. One such study relates happiness with age and finds that holding everything else constant, people are least happy when they are in their mid-40s (The Economist, December 16, 2010). The accompanying table shows a portion of data on a respondent's age and his/her perception of well-being on a scale from 0 to 100. [You may find it useful to reference the t table.] Happiness Age 62 49 66 51 72 69 BClick here for the Excel Data File a-1. Calculate the sample correlation coefficient between age and happiness. (Round intermediate calculations to at least 4 decimal places and final answer to 4 decimal places.) Sample correlation coefficient a-2. Interpret the sample correlation coefficient between age and happiness. The correlation coefficient indicates a positive linear relationship. The correlation coefficient indicates a negative linear relationship. The correlation coefficient indicates no linear relationship. b-1. Specify the competing hypotheses in order to determine whether the population correlation between the age and happiness differs from zero. Ho: Pxy = 0; HA: Pxy = 0 Ho: Pxy s 0; HẠ: Pxy > 0 Ho: Pxy 2 0; HA: Pxy < 0 b-2. Calculate the value of the test statistic. (Round intermediate calculations to at least 4 decimal places and final answer to 3 decimal places.) Test statistic
Happiness
Age
62
49
66
51
67
41
71
65
87
84
60
41
86
83
78
18
59
36
63
61
77
15
90
86
70
73
62
32
93
84
72
23
58
52
73
72
63
63
66
30
78
72
60
47
95
88
72
69
Transcribed Image Text:Happiness Age 62 49 66 51 67 41 71 65 87 84 60 41 86 83 78 18 59 36 63 61 77 15 90 86 70 73 62 32 93 84 72 23 58 52 73 72 63 63 66 30 78 72 60 47 95 88 72 69
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