A random sample of n = 1,200 observations from a binomial population produced x = 694 successes. You wish to show that p differs from 0.6. State the null and alternative hypothesis. O Ho: P < 0.6 versus H₂: p > 0.6 O Ho: P = 0.6 versus H₂: p > 0.6 O Ho: P = 0.6 versus H₂: p = 0.6 USE SALT O Ho: P = 0.6 versus H₂: P < 0.6 O Ho: P = 0.6 versus H₂: P = 0.6 Calculate the appropriate test statistic. (Round your answer to two decimal places.) Z= Provide an α = 0.05 rejection region. (Round your answers to two decimal places. If the test is one-tailed, enter NONE for the unused region.) Z > Z < State your conclusion. O Ho is rejected. There is insufficient evidence to indicate that p differs from 0.6. O Ho is not rejected. There is sufficient evidence to indicate that p differs from 0.6. O Ho is not rejected. There is insufficient evidence to indicate that p differs from 0.6. OH is rejected. There is sufficient evidence to indicate that p differs from 0.6.

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Chapter1: Starting With Matlab
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A random sample of \( n = 1,200 \) observations from a binomial population produced \( x = 694 \) successes. You wish to show that \( p \) differs from \( 0.6 \).

**State the null and alternative hypothesis.**
- \( H_0: p < 0.6 \) versus \( H_a: p > 0.6 \)
- \( H_0: p = 0.6 \) versus \( H_a: p > 0.6 \)
- \( H_0: p \neq 0.6 \) versus \( H_a: p = 0.6 \)
- \( H_0: p = 0.6 \) versus \( H_a: p < 0.6 \)
- \( H_0: p = 0.6 \) versus \( H_a: p \neq 0.6 \)

**Calculate the appropriate test statistic.** (Round your answer to two decimal places.)
\[ z = \]

**Provide an \( \alpha = 0.05 \) rejection region.** (Round your answers to two decimal places. If the test is one-tailed, enter NONE for the unused region.)
\[ z > \]
\[ z < \]

**State your conclusion.**
- \( H_0 \) is rejected. There is insufficient evidence to indicate that \( p \) differs from 0.6.
- \( H_0 \) is not rejected. There is sufficient evidence to indicate that \( p \) differs from 0.6.
- \( H_0 \) is not rejected. There is insufficient evidence to indicate that \( p \) differs from 0.6.
- \( H_0 \) is rejected. There is sufficient evidence to indicate that \( p \) differs from 0.6.
Transcribed Image Text:A random sample of \( n = 1,200 \) observations from a binomial population produced \( x = 694 \) successes. You wish to show that \( p \) differs from \( 0.6 \). **State the null and alternative hypothesis.** - \( H_0: p < 0.6 \) versus \( H_a: p > 0.6 \) - \( H_0: p = 0.6 \) versus \( H_a: p > 0.6 \) - \( H_0: p \neq 0.6 \) versus \( H_a: p = 0.6 \) - \( H_0: p = 0.6 \) versus \( H_a: p < 0.6 \) - \( H_0: p = 0.6 \) versus \( H_a: p \neq 0.6 \) **Calculate the appropriate test statistic.** (Round your answer to two decimal places.) \[ z = \] **Provide an \( \alpha = 0.05 \) rejection region.** (Round your answers to two decimal places. If the test is one-tailed, enter NONE for the unused region.) \[ z > \] \[ z < \] **State your conclusion.** - \( H_0 \) is rejected. There is insufficient evidence to indicate that \( p \) differs from 0.6. - \( H_0 \) is not rejected. There is sufficient evidence to indicate that \( p \) differs from 0.6. - \( H_0 \) is not rejected. There is insufficient evidence to indicate that \( p \) differs from 0.6. - \( H_0 \) is rejected. There is sufficient evidence to indicate that \( p \) differs from 0.6.
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