The stem-and-leaf plot below shows the marathon training times (in minutes) fora random sample of 30 female runners. Training Times (in minutes) of Female Runners 8 99 00 0 0 1 2 3 4 6 6 79 1 0 0 1 3 4 5 5 6 6 00 1 2 3 17 Key: 17|8 = 178 18 19 20 Provided the data from the stem-and-leaf plot above answer the following questions. 1. Use the sample to find a point estimate (round to 2 DP) for the mean training time of the female runners. 2. Find the sample standard deviation (round to 2 DP) of the training time for the female runners. 3. Use the sample to construct a 95% confidence interval for the population mean training time of the female runners.

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The stem-and-leaf plot below shows the marathon training times (in minutes) fora random sample of 30 female
runners.
Training Times (in minutes)
of Female Runners
8 99
00 0 0 1 2 3 4 6 6 79
1 0 0 1 3 4 5 5 6 6
00 1 2 3
17
Key: 17|8 = 178
18
19
20
Provided the data from the stem-and-leaf plot above answer the following questions.
1.
Use the sample to find a point estimate (round to 2 DP) for the mean training time of the female runners.
2. Find the sample standard deviation (round to 2 DP) of the training time for the female runners.
3. Use the sample to construct a 95% confidence interval for the population mean training time of the female
runners.
Transcribed Image Text:The stem-and-leaf plot below shows the marathon training times (in minutes) fora random sample of 30 female runners. Training Times (in minutes) of Female Runners 8 99 00 0 0 1 2 3 4 6 6 79 1 0 0 1 3 4 5 5 6 6 00 1 2 3 17 Key: 17|8 = 178 18 19 20 Provided the data from the stem-and-leaf plot above answer the following questions. 1. Use the sample to find a point estimate (round to 2 DP) for the mean training time of the female runners. 2. Find the sample standard deviation (round to 2 DP) of the training time for the female runners. 3. Use the sample to construct a 95% confidence interval for the population mean training time of the female runners.
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