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7.3.5 In a study of parents perceptions of their childrens size, researchers Kaufman et al. (Current Biology, 2013) asked parents to estimate their youngest childs height. The researchers hypothesized that parents tend to underestimate their youngest childs size because the youngest child is the baby of the family and everybody else is the family appears bigger compared to the baby The researchers also surveyed a sample of 35 parents about their eldest childs height. The parents overestimated their eldest childs height by 0.49 cm, on average; the standard deviation for the difference in actual heights and estimated heights was 4.9 cm without strong skewness in the data. Is there evidence that parents tend to either over- or under-estimate eldest childrens heights? Carry out a theory- based test using an appropriate applet or statistical software. Find and report a p-value as well as a standardized statistic. Round the test statistic to 2 decimal places, e.g. 5.83, and the p-value to 4 decimal places, e.g. 0.0583. , p-value (two-sided test) Using an appropriate applet or statistical software, find a 95% confidence interval for the difference. Round your answers to 2 decimal places, e.g. 5.83. Confidence interval(

We have found a very significant difference in the actual and estimated average heights of eldest children by their parents, with parents, on average, estimating the height of their oldest child between $ll1 and şul cm more than actual height. True False What assumption do you have to make about the data in order for the validity conditions of the appropriate theory-based test to be satisfied? O The sample size is smaller. There is not strong skewness in the distribution of differences in actual and estimated heights. O There is strong skewness in the distribution of differences in actual and estimated heights. O The sample size is larger

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Answer #1

Sample size, n = 35

Eldest child's average height, ar x_d = 0.49

Standard deviation for the difference, s_d = 4.9

Null and Alternative hypothesis:

H_o:mu_d =0

H_a:mu_d eq0

1) Test statistic:

0.49- 0.59 4.9/

df = 35-1 = 34

P-value = 0.5591

2) At alpha = 0.05 and df = 34, critical value to/2 = 2.032

Confidence interval:

Sd

0.49± 2.032 *-

(-1.19, 2.17)

3) Conclusion:

As p-value = 0.5591 > 0.05, we fail to reject the null hypothesis.

Answer : False

4) assumptions : There is not strong skewness in the distribution of differences in actual and estimated heights.

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