In: Statistics and Probability
Instructions:: In this assignment,you will calculate confidence intervals for the quantitative variables in the Heart Rate database.
Steps:
1. Open the Heart Rate database in Excel and identify the quantitative variables
2. Make sure the data is sorted by category, e.g., male at-rest, female at-rest, etc.
3. Use the Data Analysis tools to construct 95% and 99% confidence intervals for all of the sorted quantitative variables. Please note that the statistic being used is the confidence interval of the means, which requires the use of the Standard Error of the mean (not the standard deviation of the mean)
4. Create a Word document, using your calculated Excel results, to describe the expected value and range for each of the variables. Make certain you note and explain any differences in the means of the variables, and any effect of changing the level of confidence.
Heart Rate Database
Heart rate before and after exercise | ||
M=0 F=1 | Resting | After Exercise |
0 | 85.9 | 87.5 |
0 | 67.7 | 79.4 |
0 | 80.3 | 93.4 |
0 | 85.2 | 97.7 |
0 | 86.3 | 99.7 |
0 | 76.6 | 83.7 |
0 | 94.4 | 101.9 |
0 | 86.4 | 100.6 |
0 | 83.4 | 97.4 |
0 | 89.8 | 97.4 |
0 | 88.7 | 97.1 |
0 | 78.4 | 87.2 |
0 | 71.3 | 79.9 |
0 | 92.6 | 104.7 |
0 | 86.2 | 95.9 |
0 | 83.9 | 93.9 |
0 | 78.1 | 90.1 |
0 | 64.0 | 70.7 |
0 | 72.8 | 86.7 |
0 | 72.7 | 81.2 |
0 | 80.2 | 83.3 |
0 | 78.2 | 86.0 |
0 | 70.6 | 90.2 |
0 | 75.5 | 84.4 |
0 | 82.7 | 94.2 |
0 | 87.7 | 95.1 |
0 | 80.0 | 88.7 |
0 | 73.4 | 82.7 |
0 | 89.5 | 94.6 |
0 | 77.6 | 84.6 |
0 | 76.6 | 86.4 |
0 | 85.6 | 96.2 |
0 | 74.2 | 82.1 |
0 | 79.0 | 91.6 |
0 | 74.6 | 86.7 |
0 | 88.8 | 98.8 |
0 | 82.1 | 85.6 |
0 | 77.6 | 80.6 |
0 | 77.9 | 83.8 |
0 | 88.1 | 93.9 |
0 | 81.6 | 90.3 |
0 | 91.2 | 100.6 |
0 | 80.3 | 88.0 |
0 | 76.7 | 91.8 |
0 | 88.4 | 103.0 |
0 | 75.2 | 86.5 |
0 | 75.2 | 84.9 |
0 | 73.1 | 71.9 |
0 | 77.0 | 84.7 |
0 | 59.0 | 68.2 |
0 | 84.9 | 96.0 |
0 | 87.5 | 105.9 |
0 | 75.6 | 84.3 |
0 | 84.0 | 90.4 |
0 | 78.2 | 94.0 |
0 | 86.6 | 90.6 |
0 | 84.9 | 95.1 |
0 | 78.8 | 90.4 |
0 | 69.4 | 82.6 |
0 | 78.3 | 91.1 |
0 | 76.9 | 92.3 |
0 | 84.2 | 87.9 |
0 | 76.3 | 85.9 |
0 | 86.3 | 99.7 |
0 | 72.3 | 80.9 |
0 | 81.8 | 93.8 |
0 | 92.8 | 99.8 |
0 | 74.8 | 90.2 |
0 | 91.7 | 99.2 |
0 | 71.0 | 87.0 |
0 | 96.1 | 100.2 |
0 | 82.5 | 95.1 |
0 | 81.9 | 97.5 |
0 | 89.7 | 94.8 |
0 | 81.4 | 100.9 |
0 | 74.8 | 94.0 |
0 | 88.1 | 102.1 |
0 | 69.2 | 81.4 |
0 | 78.8 | 90.9 |
0 | 85.3 | 94.2 |
0 | 74.8 | 81.3 |
0 | 77.7 | 89.9 |
0 | 78.0 | 89.8 |
0 | 80.5 | 95.3 |
0 | 75.4 | 84.8 |
0 | 81.5 | 84.2 |
0 | 73.9 | 85.2 |
0 | 69.4 | 74.1 |
0 | 89.4 | 96.7 |
0 | 70.9 | 82.0 |
0 | 82.9 | 90.2 |
0 | 89.6 | 106.7 |
0 | 74.5 | 75.6 |
0 | 92.3 | 102.2 |
0 | 87.7 | 98.0 |
0 | 78.9 | 89.7 |
0 | 79.8 | 81.5 |
0 | 85.5 | 97.4 |
0 | 87.3 | 94.1 |
0 | 77.8 | 97.8 |
0 | 71.0 | 80.1 |
0 | 82.5 | 90.7 |
0 | 74.8 | 83.7 |
0 | 69.2 | 79.4 |
0 | 80.5 | 87.4 |
0 | 89.4 | 99.2 |
0 | 74.5 | 88.0 |
0 | 85.5 | 92.0 |
1 | 76.6 | 88.2 |
1 | 79.2 | 90.4 |
1 | 80.6 | 101.3 |
1 | 75.5 | 93.1 |
1 | 83.9 | 90.5 |
1 | 73.9 | 89.1 |
1 | 76.8 | 90.8 |
1 | 85.2 | 93.5 |
1 | 82.1 | 93.5 |
1 | 76.3 | 87.0 |
1 | 97.0 | 104.5 |
1 | 81.5 | 86.5 |
1 | 65.3 | 86.3 |
1 | 80.8 | 86.7 |
1 | 78.5 | 89.9 |
1 | 86.3 | 97.6 |
1 | 89.8 | 92.9 |
1 | 87.8 | 98.5 |
1 | 76.2 | 89.9 |
1 | 74.2 | 88.8 |
1 | 67.4 | 78.8 |
1 | 75.5 | 80.2 |
1 | 80.0 | 90.2 |
1 | 76.4 | 88.0 |
1 | 94.9 | 95.7 |
1 | 89.2 | 96.9 |
1 | 83.3 | 87.7 |
1 | 85.8 | 90.4 |
1 | 75.3 | 84.1 |
1 | 77.9 | 99.0 |
1 | 70.0 | 83.0 |
1 | 88.0 | 94.2 |
1 | 86.9 | 95.0 |
1 | 87.1 | 95.9 |
1 | 79.3 | 82.7 |
1 | 81.2 | 90.7 |
1 | 82.9 | 91.9 |
1 | 87.4 | 103.6 |
1 | 83.0 | 90.0 |
1 | 76.8 | 83.3 |
1 | 76.9 | 87.7 |
1 | 79.8 | 88.2 |
1 | 83.2 | 93.0 |
1 | 79.5 | 88.6 |
1 | 82.4 | 89.3 |
1 | 80.8 | 84.2 |
1 | 83.2 | 94.5 |
1 | 71.6 | 81.5 |
1 | 82.8 | 93.1 |
1 | 76.8 | 92.8 |
1 | 93.2 | 100.4 |
1 | 91.4 | 100.9 |
1 | 97.3 | 103.3 |
1 | 88.3 | 90.1 |
1 | 80.6 | 85.2 |
1 | 87.4 | 91.7 |
1 | 96.5 | 99.3 |
1 | 77.9 | 91.6 |
1 | 76.1 | 84.1 |
1 | 85.2 | 89.7 |
1 | 68.6 | 72.8 |
1 | 79.4 | 92.0 |
1 | 85.2 | 99.2 |
1 | 74.3 | 85.6 |
1 | 74.3 | 89.2 |
1 | 78.5 | 98.5 |
1 | 80.4 | 90.8 |
1 | 82.9 | 85.9 |
1 | 78.9 | 90.7 |
1 | 78.6 | 87.0 |
1 | 87.5 | 93.9 |
1 | 78.9 | 91.4 |
1 | 80.0 | 89.1 |
1 | 80.4 | 89.2 |
1 | 88.3 | 93.5 |
1 | 80.6 | 95.9 |
1 | 85.8 | 90.5 |
1 | 84.6 | 93.0 |
1 | 80.5 | 91.8 |
1 | 92.4 | 101.2 |
1 | 84.4 | 96.7 |
1 | 82.3 | 86.9 |
1 | 77.2 | 85.8 |
1 | 83.3 | 82.1 |
1 | 86.2 | 98.9 |
1 | 81.3 | 97.7 |
1 | 90.2 | 96.4 |
1 | 78.4 | 85.5 |
1 | 84.7 | 101.6 |
1 | 89.7 | 94.3 |
1 | 78.4 | 88.0 |
1 | 79.9 |
88.5 |
Result:
1. Open the Heart Rate database in Excel and identify the quantitative variables
2. Make sure the data is sorted by category, e.g., male at-rest, female at-rest, etc.
Sorted data
Male at-rest |
Female at-rest |
Male After Exercise |
Female After Exercise |
85.9 |
76.6 |
87.5 |
88.2 |
67.7 |
79.2 |
79.4 |
90.4 |
80.3 |
80.6 |
93.4 |
101.3 |
85.2 |
75.5 |
97.7 |
93.1 |
86.3 |
83.9 |
99.7 |
90.5 |
76.6 |
73.9 |
83.7 |
89.1 |
94.4 |
76.8 |
101.9 |
90.8 |
86.4 |
85.2 |
100.6 |
93.5 |
83.4 |
82.1 |
97.4 |
93.5 |
89.8 |
76.3 |
97.4 |
87 |
88.7 |
97 |
97.1 |
104.5 |
78.4 |
81.5 |
87.2 |
86.5 |
71.3 |
65.3 |
79.9 |
86.3 |
92.6 |
80.8 |
104.7 |
86.7 |
86.2 |
78.5 |
95.9 |
89.9 |
83.9 |
86.3 |
93.9 |
97.6 |
78.1 |
89.8 |
90.1 |
92.9 |
64 |
87.8 |
70.7 |
98.5 |
72.8 |
76.2 |
86.7 |
89.9 |
72.7 |
74.2 |
81.2 |
88.8 |
80.2 |
67.4 |
83.3 |
78.8 |
78.2 |
75.5 |
86 |
80.2 |
70.6 |
80 |
90.2 |
90.2 |
75.5 |
76.4 |
84.4 |
88 |
82.7 |
94.9 |
94.2 |
95.7 |
87.7 |
89.2 |
95.1 |
96.9 |
80 |
83.3 |
88.7 |
87.7 |
73.4 |
85.8 |
82.7 |
90.4 |
89.5 |
75.3 |
94.6 |
84.1 |
77.6 |
77.9 |
84.6 |
99 |
76.6 |
70 |
86.4 |
83 |
85.6 |
88 |
96.2 |
94.2 |
74.2 |
86.9 |
82.1 |
95 |
79 |
87.1 |
91.6 |
95.9 |
74.6 |
79.3 |
86.7 |
82.7 |
88.8 |
81.2 |
98.8 |
90.7 |
82.1 |
82.9 |
85.6 |
91.9 |
77.6 |
87.4 |
80.6 |
103.6 |
77.9 |
83 |
83.8 |
90 |
88.1 |
76.8 |
93.9 |
83.3 |
81.6 |
76.9 |
90.3 |
87.7 |
91.2 |
79.8 |
100.6 |
88.2 |
80.3 |
83.2 |
88 |
93 |
76.7 |
79.5 |
91.8 |
88.6 |
88.4 |
82.4 |
103 |
89.3 |
75.2 |
80.8 |
86.5 |
84.2 |
75.2 |
83.2 |
84.9 |
94.5 |
73.1 |
71.6 |
71.9 |
81.5 |
77 |
82.8 |
84.7 |
93.1 |
59 |
76.8 |
68.2 |
92.8 |
84.9 |
93.2 |
96 |
100.4 |
87.5 |
91.4 |
105.9 |
100.9 |
75.6 |
97.3 |
84.3 |
103.3 |
84 |
88.3 |
90.4 |
90.1 |
78.2 |
80.6 |
94 |
85.2 |
86.6 |
87.4 |
90.6 |
91.7 |
84.9 |
96.5 |
95.1 |
99.3 |
78.8 |
77.9 |
90.4 |
91.6 |
69.4 |
76.1 |
82.6 |
84.1 |
78.3 |
85.2 |
91.1 |
89.7 |
76.9 |
68.6 |
92.3 |
72.8 |
84.2 |
79.4 |
87.9 |
92 |
76.3 |
85.2 |
85.9 |
99.2 |
86.3 |
74.3 |
99.7 |
85.6 |
72.3 |
74.3 |
80.9 |
89.2 |
81.8 |
78.5 |
93.8 |
98.5 |
92.8 |
80.4 |
99.8 |
90.8 |
74.8 |
82.9 |
90.2 |
85.9 |
91.7 |
78.9 |
99.2 |
90.7 |
71 |
78.6 |
87 |
87 |
96.1 |
87.5 |
100.2 |
93.9 |
82.5 |
78.9 |
95.1 |
91.4 |
81.9 |
80 |
97.5 |
89.1 |
89.7 |
80.4 |
94.8 |
89.2 |
81.4 |
88.3 |
100.9 |
93.5 |
74.8 |
80.6 |
94 |
95.9 |
88.1 |
85.8 |
102.1 |
90.5 |
69.2 |
84.6 |
81.4 |
93 |
78.8 |
80.5 |
90.9 |
91.8 |
85.3 |
92.4 |
94.2 |
101.2 |
74.8 |
84.4 |
81.3 |
96.7 |
77.7 |
82.3 |
89.9 |
86.9 |
78 |
77.2 |
89.8 |
85.8 |
80.5 |
83.3 |
95.3 |
82.1 |
75.4 |
86.2 |
84.8 |
98.9 |
81.5 |
81.3 |
84.2 |
97.7 |
73.9 |
90.2 |
85.2 |
96.4 |
69.4 |
78.4 |
74.1 |
85.5 |
89.4 |
84.7 |
96.7 |
101.6 |
70.9 |
89.7 |
82 |
94.3 |
82.9 |
78.4 |
90.2 |
88 |
89.6 |
79.9 |
106.7 |
88.5 |
74.5 |
75.6 |
||
92.3 |
102.2 |
||
87.7 |
98 |
||
78.9 |
89.7 |
||
79.8 |
81.5 |
||
85.5 |
97.4 |
||
87.3 |
94.1 |
||
77.8 |
97.8 |
||
71 |
80.1 |
||
82.5 |
90.7 |
||
74.8 |
83.7 |
||
69.2 |
79.4 |
||
80.5 |
87.4 |
||
89.4 |
99.2 |
||
74.5 |
88 |
||
85.5 |
92 |
3. Use the Data Analysis tools to construct 95% and 99% confidence intervals for all of the sorted quantitative variables. Please note that the statistic being used is the confidence interval of the means, which requires the use of the Standard Error of the mean (not the standard deviation of the mean)
Male at-rest |
Female at-rest |
Male After Exercise |
Female After Exercise |
|
Mean |
80.3852 |
81.7696 |
90.2843 |
91.2293 |
Standard Error |
0.6786 |
0.6536 |
0.7525 |
0.6166 |
Median |
80.1 |
80.8 |
90.35 |
90.6 |
Mode |
74.8 |
80.6 |
97.4 |
93.5 |
Standard Deviation |
7.0525 |
6.2688 |
7.8204 |
5.9138 |
Sample Variance |
49.7372 |
39.2980 |
61.1587 |
34.9731 |
Kurtosis |
-0.2050 |
0.3909 |
-0.1275 |
0.2781 |
Skewness |
-0.1393 |
0.1816 |
-0.2864 |
-0.0363 |
Range |
37.1 |
32 |
38.5 |
31.7 |
Minimum |
59 |
65.3 |
68.2 |
72.8 |
Maximum |
96.1 |
97.3 |
106.7 |
104.5 |
Sum |
8681.6 |
7522.8 |
9750.7 |
8393.1 |
Count |
108 |
92 |
108 |
92 |
Confidence Level(95.0%) |
1.3453 |
1.2982 |
1.4918 |
1.2247 |
95%Lower limit |
79.0399 |
80.4713 |
88.7925 |
90.0046 |
95%Upper limit |
81.7305 |
83.0678 |
91.7760 |
92.4541 |
Confidence Level(99.0%) |
1.7797 |
1.7195 |
1.9735 |
1.6221 |
99%Lower limit |
78.6055 |
80.0501 |
88.3107 |
89.6072 |
99%Upper limit |
82.1649 |
83.4891 |
92.2578 |
92.8515 |
4. Create a Word document, using your calculated Excel results, to describe the expected value and range for each of the variables. Make certain you note and explain any differences in the means of the variables, and any effect of changing the level of confidence.
The mean Heart rate for male at rest is 80.3852. 95% confidence interval for male at rest is (79.0399, 81.7305). The 99% CI is (78.6055, 82.1649). 99% CI is wider than 95% CI.
The mean Heart rate for female at rest is 81.7696. 95% confidence interval for male at rest is (80.4713, 83.0678). The 99% CI is (80.0501, 83.4891). Female Rate is higher than males.
The mean Heart rate for male After Exercise is 90.2843. 95% confidence interval for male at rest is (88.7925, 88.7925). The 99% CI is (88.3107, 92.2578). 99% CI is wider than 95% CI.
The mean Heart rate for female After Exercise is 91.2293. 95% confidence interval for male at rest is (90.0046, 92.4541). The 99% CI is (89.6072, 92.8515). Female Rate is higher than males.