Pulse Rates of Identical Twins A researcher wanted to compare the pulse rates of identical twins to see whether there was any difference. Eight sets of twins were selected. The rates are given in the table as number of beats per minute. At=α0.05, is there a significant difference in the average pulse rates of twins? Use theP-value method. Assume the variables are normally distributed. LetμAbe the average of twin A and=μD−μAμB. Find the95%confidence interval for the difference of the two. Round your answer to one decimal place. Question tableTwin A8493879383928890Twin B8384798680898693 Send datato Excel

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Description: Pulse Rates of Identical Twins A researcher wanted to compare the pulse rates of identical twins to see whether there was any difference. Eight sets of twins were selected. The rates are given in the table as number of beats per minute. At=α0.05, is

It is given that the pulse rates of 8 twins.

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MATLAB: An Introduction with Applications

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Author:Amos Gilat

Publisher:Amos Gilat

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Pulse Rates of Identical Twins A researcher wanted to compare the pulse rates of identical twins to see whether there was any difference. Eight sets of twins were selected. The rates are given in the table as number of beats per minute. At

=α0.05

, is there a significant difference in the average pulse rates of twins? Use the

-value method. Assume the variables are normally distributed. Let

μA

be the average of twin A and

=μD−μAμB

. Find the

95%

confidence interval for the difference of the two. Round your answer to one decimal place.

Question table

Twin A	84	93	87	93	83	92	88	90
Twin B	83	84	79	86	80	89	86	93

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to Excel

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

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