random sample of n = 1,200 observations from a binomial population produced x = 581 successes. You wish to show that p differs from USE SALT Calculate the appropriate test statistic. (Round your answer to two decimal places.) Calculate the p-value. (Round your answer to four decimal places.) -value= to the conclusions based on a fixed reiection region of 12 196 agree with these found using the p-value approach at 0.052
random sample of n = 1,200 observations from a binomial population produced x = 581 successes. You wish to show that p differs from USE SALT Calculate the appropriate test statistic. (Round your answer to two decimal places.) Calculate the p-value. (Round your answer to four decimal places.) -value= to the conclusions based on a fixed reiection region of 12 196 agree with these found using the p-value approach at 0.052
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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![A random sample of \( n = 1,200 \) observations from a binomial population produced \( x = 581 \) successes. You wish to show that \( p \) differs from 0.5.
**Calculate the appropriate test statistic.** (Round your answer to two decimal places.)
\( z = \) [Text box for user input]
**Calculate the p-value.** (Round your answer to four decimal places.)
\( p\text{-value} = \) [Text box for user input]
**Do the conclusions based on a fixed rejection region of \( |z| > 1.96 \) agree with those found using the p-value approach at \( \alpha = 0.05 \)?**
- \( \) Yes, both approaches produce the same conclusion.
- \( \) No, the p-value approach rejects the null hypothesis when the fixed rejection region approach fails to reject the null hypothesis.
- \( \) No, the fixed rejection region approach rejects the null hypothesis when the p-value approach fails to reject the null hypothesis.
**Should they?**
- \( \) Yes
- \( \) No](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F9175f245-2e1a-4def-805b-da74e3897838%2F9f74d0b7-1885-4521-b4ce-4752df7ad858%2Fk3egomo_processed.png&w=3840&q=75)
Transcribed Image Text:A random sample of \( n = 1,200 \) observations from a binomial population produced \( x = 581 \) successes. You wish to show that \( p \) differs from 0.5.
**Calculate the appropriate test statistic.** (Round your answer to two decimal places.)
\( z = \) [Text box for user input]
**Calculate the p-value.** (Round your answer to four decimal places.)
\( p\text{-value} = \) [Text box for user input]
**Do the conclusions based on a fixed rejection region of \( |z| > 1.96 \) agree with those found using the p-value approach at \( \alpha = 0.05 \)?**
- \( \) Yes, both approaches produce the same conclusion.
- \( \) No, the p-value approach rejects the null hypothesis when the fixed rejection region approach fails to reject the null hypothesis.
- \( \) No, the fixed rejection region approach rejects the null hypothesis when the p-value approach fails to reject the null hypothesis.
**Should they?**
- \( \) Yes
- \( \) No
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