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7. Given the data set (20 points) 101 2 13 17 19 23 73 79 83 89 101 103 107109 113 97 Compute the...
Here is your (discrete) data 108 83 93 118 88 58 88 65 113 103 119...
Here is your (discrete) data 108 83 93 118 88 58 88 65 113 103 119 101 91 92 95 86 85 73 94 61 121 71 116 78 114 119 118 131 41 70 68 98 202 155 41 93 78 96 93 110 100 61 98 39 94 86 108 75 64 50 90 123 109 69 118 85 102 86 153 109 89 134 80 104 96 129 48 81 102 31 97 130 98 105 109...
Displayed are the survival times (in days) of 72 guinea pigs after they were injected with...
Displayed are the survival times (in days) of 72 guinea pigs after they were injected with infectious bacteria in a medical experiment. 43 45 53 56 56 57 58 66 67 73 74 79 80 80 81 81 81 82 83 83 84 88 89 91 91 92 92 97 99 99 100 100 101 102 102 102 103 104 107 108 109 113 114 118 121 123 126 128 137 138 139 144 145 147 156 162 174 178...
Response Questions From Part A To B Example 1.7 provides the numerical values for the guinea...
Response Questions From Part A To B Example 1.7 provides the numerical values for the guinea pig survival times after inoculation plotted in Figure 1.6. as often with survival times, th is distribution is strongly skewed to the right A a Which numerical summary would you choose for these data? Explain whv. Does it show the expected right-skew? b) Calculate your chosen summary in Example 2.4. How does it reflect the skewness of the distribution? Guinea pig survival times Figure...
2 62.8 MEAN = 3 71.9 MEDIAN = 4 69.6 MODE= 5 74.1 RANGE = 6 66.6 MIN. = 7 76.5 MAX.= 8 66.4 STDEV. = 9 73.1 MY HEIGHT =67.00 10 71.6 Z SCORE FOR MY HEIGHT = 11 69.3 12 64.0 13...
2 62.8 MEAN = 3 71.9 MEDIAN = 4 69.6 MODE= 5 74.1 RANGE = 6 66.6 MIN. = 7 76.5 MAX.= 8 66.4 STDEV. = 9 73.1 MY HEIGHT =67.00 10 71.6 Z SCORE FOR MY HEIGHT = 11 69.3 12 64.0 13 70.9 14 62.2 15 63.3 16 67.7 17 65.2 18 64.2 19 69.4 20 71.7 21 64.6 22 69.0 23 71.3 24 69.1 25 71.6 26 75.9 27 66.2 28 67.4 29 64.6 30 69.6 31...
1) Come up with a single (one) question or problem 2) Think of an example with 30 data points a. ...
1) Come up with a single (one) question or problem
2) Think of an example with 30 data points
a. This data needs to be of a quantitative variable
(numbers).
3) Then proceed to follow the below steps.
example of 30 quantitative data points
Purpose
State how, when, and where data was collected
List of raw data pairs
Frequency distribution (table)
Histogram
Relative percentage polygon
Sample mean
Sample median
Sample mode(s)
Sample range
Sample variance
Sample standard deviation
Coefficient of...
83 84 85 69.99 39.19 41.18 23.36 8055 8056 8057 8058 86 87 88 89 90...
83 84 85 69.99 39.19 41.18 23.36 8055 8056 8057 8058 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 10/11/23 10/11/23 10/11/23 10/11/23 10/11/23 10/11/23 10/11/23 10/11/23 10/11/23 10/11/23 10/11/23 10/11/23 10/11/23 10/11/23 10/11/23 10/12/23 10/12/23 10/12/23 10/12/23 10/12/23 10/12/23 10/12/23 10/12/23 10/12/23 10/12/23 10/13/23 10/13/23 10/13/23 10/13/23 10/13/23 10/14/23 10/14/23 10/14/23 10/14/23 10/14/23 10/14/23 10/14/23 10/14/23 10/14/23 10/14/23 10/14/23 10/11/22 8059 8059...
Displayed are the survival times (in days) of 72 guinea pigs after they were injected with infectious bacteria in a medical experiment. 43 45 53 56 56 57 58 66 67 73 74 79 80 80 81 81 81 82 83 83 84 88 89 91 91 92 92 97 99 99 100 100 101 102 102 102 103 104 107 108 109 113 114 118 121 123 126 128 137 138 139 144 145 147 156 162 174 178...
Response Questions From Part A To B Example 1.7 provides the numerical values for the guinea pig survival times after inoculation plotted in Figure 1.6. as often with survival times, th is distribution is strongly skewed to the right A a Which numerical summary would you choose for these data? Explain whv. Does it show the expected right-skew? b) Calculate your chosen summary in Example 2.4. How does it reflect the skewness of the distribution? Guinea pig survival times Figure...
1) Come up with a single (one) question or problem
2) Think of an example with 30 data points
a. This data needs to be of a quantitative variable
(numbers).
3) Then proceed to follow the below steps.
example of 30 quantitative data points
Purpose
State how, when, and where data was collected
List of raw data pairs
Frequency distribution (table)
Histogram
Relative percentage polygon
Sample mean
Sample median
Sample mode(s)
Sample range
Sample variance
Sample standard deviation
Coefficient of...
83 84 85 69.99 39.19 41.18 23.36 8055 8056 8057 8058 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 10/11/23 10/11/23 10/11/23 10/11/23 10/11/23 10/11/23 10/11/23 10/11/23 10/11/23 10/11/23 10/11/23 10/11/23 10/11/23 10/11/23 10/11/23 10/12/23 10/12/23 10/12/23 10/12/23 10/12/23 10/12/23 10/12/23 10/12/23 10/12/23 10/12/23 10/13/23 10/13/23 10/13/23 10/13/23 10/13/23 10/14/23 10/14/23 10/14/23 10/14/23 10/14/23 10/14/23 10/14/23 10/14/23 10/14/23 10/14/23 10/14/23 10/11/22 8059 8059...
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