study of pregnant women and their ability to correctly predict the sex of their baby, 57 of the pregnant women had 12 years of education or less, and 42.1% of these women correctly predicted the sex of their baby. Use a 0.01 significance level to test the claim that these women have an ability to predict the sex of their baby equivalent to random guesses. Identify the null hypothesis, alternative hypothesis, test statistic, P-value, and conclusion about the null hypothesis. Use the P-value method. Use the normal distribution as an approximation of the binomial distribution. Do the results suggest that their percentage of correct predictions is different from results expected with random guesses? Question content area bottom Part 1 Identify the null and alternative hypotheses. Choose the correct answer below. A. H0: p=0.5 H1: p<0.5 B. H0: p=0.5 H1: p≠0.5 C. H0: p=0.421 H1: p>0.421 D. H0: p=0.421 H1: p<0.421 E. H0: p=0.421 H1: p≠0.421 F. H0: p=0.5 H1: p>0.5 Part 2 The test statistic is z=enter your response here. (Round to two decimal places as needed.) Part 3 The P-value is enter your response here. (Round to four decimal places as needed.) Part 4 Identify the conclusion about the null hypothesis. Do the results suggest that their percentage of correct predictions is different from results expected with random guesses? ▼ Reject Fail to reject H0. There ▼ is not is sufficient evidence to warrant rejection of the claim that these women have an ability to predict the sex of their baby equivalent to random guesses. The results for these women with 12 years of education or less suggests that their percentage of correct predictions ▼ is not is very different from results expected with random guesses.

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Question

In a study of pregnant women and their ability to correctly predict the sex of their baby, 57 of the pregnant women had 12 years of education or less, and 42.1% of these women correctly predicted the sex of their baby. Use a 0.01 significance level to test the claim that these women have an ability to predict the sex of their baby equivalent to random guesses. Identify the null hypothesis, alternative hypothesis, test statistic, P-value, and conclusion about the null hypothesis. Use the P-value method. Use the normal distribution as an approximation of the binomial distribution. Do the results suggest that their percentage of correct predictions is different from results expected with random guesses?
Question content area bottom
Part 1
Identify the null and alternative hypotheses. Choose the correct answer below.
A.
H0: p=0.5
H1: p<0.5
B.
H0: p=0.5
H1: p≠0.5
C.
H0: p=0.421
H1: p>0.421
D.
H0: p=0.421
H1: p<0.421
E.
H0: p=0.421
H1: p≠0.421
F.
H0: p=0.5
H1: p>0.5
Part 2
The test statistic is z=enter your response here. (Round to two decimal places as needed.)
Part 3
The P-value is enter your response here. (Round to four decimal places as needed.)
Part 4
Identify the conclusion about the null hypothesis. Do the results suggest that their percentage of correct predictions is different from results expected with random guesses?
▼
Reject
Fail to reject
H0. There
▼
is not
is
sufficient evidence to warrant rejection of the claim that these women have an ability to predict the sex of their baby equivalent to random guesses. The results for these women with 12 years of education or less suggests that their percentage of correct predictions
▼
is not
is
very different from results expected with random guesses.

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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