The average duration or labor from the first contraction to the bim of the baby in women over 35 who have not previously given brth and who did not use any pharmaceuticals is 26 hours. Suppose you have a sample of 33 women who exercise daly, and who have an average duration of labor of 16.9 hours and a sampie variance of 20.3 hours. You want to test the hypothesis that women who exercise daly have a omerent duration of labor than all women. Calculate the t statistic To do this, you first nend to calculate the estimated standard emor. The estimated standard emor is s- statistie is The t Now suppose you have a larger sample sizen-81. Calculate the estimated standard emror and the t statistic for this sample wth the same sample average and the same standard deviation as above, but with the larger sample sze. The new estmated standard error at - sa becomes larger. Note that the t statsti becomes Use the Distributions tool to look at the tdstrbutions for efterent sample szes. To do this, choose the Degrees of Freedom for the finst sample sze on the sider, and cick the radio bumon with the single orange line. Move the orange vertical line to the nght unti the number below the orange line is located on the tate. The probability at getting that t statstic or one more estreme will appear in the bubble with the orange type. Now repeat the process for the other sample. -d t -upas adues aa auo aou Sunues eana a Sust laeud aaau of getting thet statistic or something more extreme for the sample size of n-S17p- Thet dstribution is nallern. (Mint: to best see dick the rado bumon in the tool with no vertical Ines. Slowly move the Degrees of Freedom slider from the smalest value to the largest value, and observe how the shape of the distribution changes.)
The average duration or labor from the first contraction to the bim of the baby in women over 35 who have not previously given brth and who did not use any pharmaceuticals is 26 hours. Suppose you have a sample of 33 women who exercise daly, and who have an average duration of labor of 16.9 hours and a sampie variance of 20.3 hours. You want to test the hypothesis that women who exercise daly have a omerent duration of labor than all women. Calculate the t statistic To do this, you first nend to calculate the estimated standard emor. The estimated standard emor is s- statistie is The t Now suppose you have a larger sample sizen-81. Calculate the estimated standard emror and the t statistic for this sample wth the same sample average and the same standard deviation as above, but with the larger sample sze. The new estmated standard error at - sa becomes larger. Note that the t statsti becomes Use the Distributions tool to look at the tdstrbutions for efterent sample szes. To do this, choose the Degrees of Freedom for the finst sample sze on the sider, and cick the radio bumon with the single orange line. Move the orange vertical line to the nght unti the number below the orange line is located on the tate. The probability at getting that t statstic or one more estreme will appear in the bubble with the orange type. Now repeat the process for the other sample. -d t -upas adues aa auo aou Sunues eana a Sust laeud aaau of getting thet statistic or something more extreme for the sample size of n-S17p- Thet dstribution is nallern. (Mint: to best see dick the rado bumon in the tool with no vertical Ines. Slowly move the Degrees of Freedom slider from the smalest value to the largest value, and observe how the shape of the distribution changes.)
Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter13: Probability And Calculus
Section13.2: Expected Value And Variance Of Continuous Random Variables
Problem 10E
Related questions
Question
1st blank: 0.6267, 0.5006, 33, 0.7843
2nd blank: 1.44, 2.25, 1.15, 1.80
3rd blank: 0.7843, 0.6267, 0.5006, 0.4
4th blank: 2.25, 1.80, 1.15, 1.44
5th blank: larger or smaller
6th blank: 0.2689, 0.1293, 0.0145, 0.0378
7th blank: 0.0378, 0.1293, 0.0100, 0.2612
8th blank: flatter and more spread out or more like the z distribution
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