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Saathi Date x.- The heights of ten mails of a given locality are found to be 70,67,62,68,61,68,70,64,64,6670,67,62, 68,61,68,70,64,64,66 (inches) Is it reasonable to believe that the average height is 6464 inches. Test at 5%5\% Significant level assuming that for 99 degrees of freedom is 1.8331.833.

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Q. Saathi Date x.- The heights of ten mails of a given locality are found to be 70,67,62,68,61,68,70,64,64,6670,67,62, 68,61,68,70,64,64,66 (inches) Is it reasonable to believe that the average height is 6464 inches. Test at 5%5\% Significant level assuming that for 99 degrees of freedom is 1.8331.833.
  1. Calculate Sample Mean: Calculate the sample mean (average height) of the ten males.\newlineTo find the sample mean, add all the heights together and divide by the number of males.\newlineSample mean = 70+67+62+68+61+68+70+64+64+6610\frac{70 + 67 + 62 + 68 + 61 + 68 + 70 + 64 + 64 + 66}{10}\newlineSample mean = 66010\frac{660}{10}\newlineSample mean = 6666 inches
  2. Calculate Standard Deviation: Calculate the sample standard deviation.\newlineFirst, find the differences between each height and the sample mean, square these differences, sum them up, and then divide by the number of observations minus one (n1)(n-1) to get the variance. Finally, take the square root of the variance to get the standard deviation.\newlineDifferences squared: (7066)2+(6766)2+(6266)2+(6866)2+(6166)2+(6866)2+(7066)2+(6466)2+(6466)2+(6666)2(70-66)^2 + (67-66)^2 + (62-66)^2 + (68-66)^2 + (61-66)^2 + (68-66)^2 + (70-66)^2 + (64-66)^2 + (64-66)^2 + (66-66)^2\newlineDifferences squared: 16+1+16+4+25+4+16+4+4+016 + 1 + 16 + 4 + 25 + 4 + 16 + 4 + 4 + 0\newlineSum of differences squared: 9090\newlineVariance: 90/(101)90 / (10-1)\newlineVariance: 90/990 / 9\newlineVariance: 1010\newlineStandard deviation: 10\sqrt{10}\newlineStandard deviation 3.16\approx 3.16 inches
  3. Calculate T-Statistic: Calculate the t-statistic to test the hypothesis that the average height is 6464 inches.\newlineThe t-statistic is calculated using the formula: t=(sample meanhypothesized mean)/(standard deviation/n)t = (\text{sample mean} - \text{hypothesized mean}) / (\text{standard deviation} / \sqrt{n})\newlinet=(6664)/(3.16/10)t = (66 - 64) / (3.16 / \sqrt{10})\newlinet=2/(3.16/10)t = 2 / (3.16 / \sqrt{10})\newlinet=2/(3.16/3.16)t = 2 / (3.16 / 3.16)\newlinet=2/1t = 2 / 1\newlinet=2t = 2
  4. Compare T-Statistic to Critical Value: Compare the calculated tt-statistic to the critical tt-value. The critical tt-value for a 5%5\% significance level and 99 degrees of freedom is given as 1.8331.833. Since our calculated tt-statistic (22) is greater than the critical tt-value (1.8331.833), we reject the null hypothesis that the average height is tt00 inches.

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