Question:

Consider the following hypothesis test:
\(Η_0: μ ≤ 20\)
\(Η_1 : μ > 20\)
A sample of 81 produced a sample mean of 20.55. The population standard deviation is 3. The value of the test statistic is:

Updated On: May 11, 2025
  • 1.85
  • -2.05
  • -2.15
  • 1.65
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The Correct Option is D

Solution and Explanation

To solve the hypothesis test problem and determine the value of the test statistic, follow these steps:
1. Define the hypotheses:
\( H_0: \mu \leq 20 \) (null hypothesis)
\( H_1: \mu > 20 \) (alternative hypothesis)
2. Given data:
  • Sample size: \( n = 81 \)
  • Sample mean: \( \bar{x} = 20.55 \)
  • Population standard deviation: \( \sigma = 3 \)
3. Use the formula for the z-test statistic:
\( z = \frac{\bar{x} - \mu_0}{\frac{\sigma}{\sqrt{n}}} \)
4. Substitute the values:
\( z = \frac{20.55 - 20}{\frac{3}{\sqrt{81}}} \)
5. Simplify:
  • Denominator: \( \frac{3}{\sqrt{81}} = \frac{3}{9} = 0.33 \)
  • Numerator: \( 20.55 - 20 = 0.55 \)
6. Calculate the test statistic:
\( z = \frac{0.55}{0.33} = 1.65 \)
\[ \boxed{\text{Test Statistic } z = 1.65} \]
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