It has been reported in the past that the probability that an individual will develop schizophrenia over their lifetime is 0.004. A researcher believes that this proportion has increases since then. She found out that in a random sample of 2500 individuals, 16 developed schizophrenia. Is there evidence to support the claim that the true proportion of people who will develop schizophrenia is greater 0.004? Use hypothesis testing at a = 0.10 level of significance to answer this question. a. State the null and alternative hypotheses. b. What is the probability model (underlying distribution of the sample proportion p)? c. Compute p. d. Compute the test statistic.
It has been reported in the past that the probability that an individual will develop schizophrenia over their lifetime is 0.004. A researcher believes that this proportion has increases since then. She found out that in a random sample of 2500 individuals, 16 developed schizophrenia. Is there evidence to support the claim that the true proportion of people who will develop schizophrenia is greater 0.004? Use hypothesis testing at a = 0.10 level of significance to answer this question. a. State the null and alternative hypotheses. b. What is the probability model (underlying distribution of the sample proportion p)? c. Compute p. d. Compute the test statistic.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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Problem 1P
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![It has been reported in the past that the probability that an individual will develop schizophrenia over their lifetime is 0.004. A researcher believes that this proportion has increased since then. She found out that in a random sample of 2500 individuals, 16 developed schizophrenia.
Is there evidence to support the claim that the true proportion of people who will develop schizophrenia is greater 0.004?
Use hypothesis testing at α = 0.10 level of significance to answer this question.
a. State the null and alternative hypotheses.
b. What is the probability model (underlying distribution of the sample proportion \( \hat{p} \))?
c. Compute \( \hat{p} \).
d. Compute the test statistic.
e. Find the P-value.
f. Make the decision whether to reject \( H_0 \) or not.
g. State a conclusion answering the question above.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fa25f123f-4df1-4b7f-9bfa-41171e81d86b%2Ff00e1ae7-63e5-42b3-b8fd-1b0d90e8d494%2Fnvoypz7_processed.jpeg&w=3840&q=75)
Transcribed Image Text:It has been reported in the past that the probability that an individual will develop schizophrenia over their lifetime is 0.004. A researcher believes that this proportion has increased since then. She found out that in a random sample of 2500 individuals, 16 developed schizophrenia.
Is there evidence to support the claim that the true proportion of people who will develop schizophrenia is greater 0.004?
Use hypothesis testing at α = 0.10 level of significance to answer this question.
a. State the null and alternative hypotheses.
b. What is the probability model (underlying distribution of the sample proportion \( \hat{p} \))?
c. Compute \( \hat{p} \).
d. Compute the test statistic.
e. Find the P-value.
f. Make the decision whether to reject \( H_0 \) or not.
g. State a conclusion answering the question above.
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