Measurements on a number of physiological variables for a sample of 8 males and 8 female adolescent tennis players were reported in "Physiological and Anthropometric Profiles of Elite Prepubescent Tennis Players" (Sportsmed. (1984); 111-116). A 95% t confidence interval for the difference in mean grip strength(assuming equal variance) between boys and girls was given as: (-1.94, 5.34). What was the estimated standard error the researchers used? 1.5 2.145 11.53 1.697
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The t-value for a 95% confidence interval with 14 degrees of freedom (16 total samples - 2 groups) is approximately 2.145. The confidence interval given is (-1.94, 5.34). The midpoint of this interval is the estimated mean difference, which can be calculated as Show more…
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Researchers collected the data shown here about the results on a Statistics Exam. Find the confidence interval for the difference in the means of males and females with a confidence level of C = 95%. You may assume the standard deviation is different for each population. Group A (males) x̄1 = 78.5 s1^2 = 237.2 n1 = 38 group B (females) x̄2 = 82.6 s2^2 = 187.7 n2 = 33
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Study was designed to estimate the difference in diastolic blood pressure readings between men and women. MINITAB was used to construct a $99 \%$ confidence interval for the difference between the means based on the following sample data.$$\begin{array}{lllllllll}\hline \text { Males } & 76 & 76 & 74 & 70 & 80 & 68 & 90 & 70 \\& 90 & 72 & 76 & 80 & 68 & 72 & 96 & 80 \\\hline \text { Females } & 76 & 70 & 82 & 90 & 68 & 60 & 62 & 68 \\& 80 & 74 & 60 & 62 & 72 & & & \\\hline\end{array}$$ Verify the results (the two sample means and standard deviations, and the confidence interval bounds) by calculating the values yourself. Assume normality of blood readings.
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