In: Statistics and Probability
As the population ages, there is increasing concern about accident-related injuries to the elderly. An article reported on an experiment in which the maximum lean angle—the farthest a subject is able to lean and still recover in one step—was determined for both a sample of younger females (21–29 years) and a sample of older females (67–81 years). The following observations are consistent with summary data given in the article:
YF: | 29, | 35, | 32, | 27, | 28, | 32, | 31, | 35, | 32, | 27 |
OF: | 18, | 16, | 23, | 13, | 12 |
Calculate the test statistic and determine the P-value. (Round your test statistic to two decimal places and your P-value to three decimal places.)
H0: mean lean angles are the same for young and old
H1: mean lean angle for young is more than the old
We use independent sample t test assuming normality.
We calculate first summary statistics
N Mean StDev
yf 10 30.80 2.97
of 5 16.40 4.39
Since, Sd's are quite different, we test for equality of population variances using F test and obtain a p value 0.304. Hence we conclude that population variances are not significantly different. Thus we use independent sample t test with equal variance. We calculate
Value of t statistic = 7.57 at DF=13 and a P-Value < 0.0001 (.000 in 3 decimal point)
Hence we reject the null and conclude that mean lean angle for young is significantly more than the old