Math Problem Statement

In order to test H0: u1 - u2 =0 vs. HA: u1 - u2 < 0 at the a = 0.1 level of significance, two independent, random samples were selected. The sizes of the samples were n1 = 93 and n2 = 181.

If the test statistic were z = -1.96, then the p-value = __________ .

A. 0.0125 B. 0.05 C. 0.975 D. 0.025 E. 0.00625

Solution

To calculate the p-value corresponding to a zz-statistic of z=1.96z = -1.96, we need to determine the area to the left of z=1.96z = -1.96 under the standard normal distribution.

Step-by-Step Process:

  1. Find the cumulative probability for z=1.96z = -1.96: Using standard normal distribution tables or software, the cumulative probability for z=1.96z = -1.96 is approximately: P(Z1.96)0.025P(Z \leq -1.96) \approx 0.025

  2. Determine the p-value: Since the alternative hypothesis is HA:μ1μ2<0H_A: \mu_1 - \mu_2 < 0 (a one-tailed test), the p-value is the cumulative probability corresponding to z=1.96z = -1.96.

    Therefore, the p-value is: p-value=0.025\text{p-value} = 0.025

Final Answer:

D. 0.025

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Math Problem Analysis

Mathematical Concepts

Hypothesis Testing
Normal Distribution
One-Tailed Test
p-Value Calculation

Formulas

p-value for z-test: p-value = P(Z ≤ z) for one-tailed test

Theorems

Central Limit Theorem
Properties of the Standard Normal Distribution

Suitable Grade Level

College Statistics