On average is the younger sibling's IQ different from the older sibling's IQ? Ten sibling pairs were given IQ tests. The data are shown below. Younger Sibling 91 104 98 102 101 91 103 102 101 73 Older Sibling 97 111 115 118 109 94 108 102 102 68 Assume a Normal distribution. What can be concluded at the the αα = 0.01 level of significance? For this study, Find The t- test statistic(please show your answer to 3 decimal places.)

On average is the younger sibling's IQ different from the older sibling's IQ? Ten sibling pairs were given IQ tests. The data are shown below. Younger Sibling 91 104 98 102 101 91 103 102 101 73 Older Sibling 97 111 115 118 109 94 108 102 102 68 Assume a Normal distribution. What can be concluded at the the αα = 0.01 level of significance? For this study, Find The t- test statistic(please show your answer to 3 decimal places.)

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter4: Equations Of Linear Functions

Section4.5: Correlation And Causation

Problem 23PFA

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Question

On average is the younger sibling's IQ different from the older sibling's IQ? Ten sibling pairs were given IQ tests. The data are shown below.

Younger Sibling	91	104	98	102	101	91	103	102	101	73
Older Sibling	97	111	115	118	109	94	108	102	102	68

Assume a Normal distribution. What can be concluded at the the αα = 0.01 level of significance?

For this study, Find

The t- test statistic(please show your answer to 3 decimal places.)

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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