Purchase Solution

Important information about Test Statistic, P-value

Not what you're looking for?

Ask Custom Question

1) When the necessary conditions are met, a two-tail test is being conducted to test the difference between two population proportions. the two sample proportions are P1 = 0.25 and P2 = 0.20 and the standard error of the sampling distribution of P1 - P2 is 0.04. the calculated value of the test statistic will be?

2) When the necessary conditions are met a two-tail test is being conducted to test the difference between two populations means but your statistical software provides only a one-tail area of 0.036 as part of its output. The p-value for this two-tail test will be?

Purchase this Solution
Solution Summary

Calculates the value of test statistic and p-value.

Solution Preview

1) When the necessary conditions are met, a two-tail test is being conducted to test the difference between two population proportions. the two sample proportions are P1 = 0.25 and ...

Purchase this Solution
Free BrainMass Quizzes
Measures of Central Tendency

This quiz evaluates the students understanding of the measures of central tendency seen in statistics. This quiz is specifically designed to incorporate the measures of central tendency as they relate to psychological research.

Know Your Statistical Concepts

Each question is a choice-summary multiple choice question that presents you with a statistical concept and then 4 numbered statements. You must decide which (if any) of the numbered statements is/are true as they relate to the statistical concept.

Measures of Central Tendency

Tests knowledge of the three main measures of central tendency, including some simple calculation questions.

Terms and Definitions for Statistics

This quiz covers basic terms and definitions of statistics.

View More Free Quizzes
Related BrainMass Solutions

  • Exploring Inferential Statistics and Their Discontents

    For parametric statistic, the information about the population is completely known, however, in case of nonparametric statistic, the information about the population is unavailable.

  • Null Hypothesis for a General Social Survey

    The solution determines the null and alternative hypothesis, value of test statistic and the p-value.

  • Testing of population proportion.

    Identify the null hypothesis , alternative hypothesis, test statistic, p-value or critical value(s), conclusion about the null hypothesis, and final conclusion that addresses the original claim.

  • Hypothesis Testing and P-Values

    State the null hypothesis: State the alternative hypothesis: The type of test statistic: The value of the test statistic (rounded to three decimal places): The P value (rounded to three decimal places): The General Social Survey is an annual survey

  • Hypothesis Testing and P-Values

    State the null hypothesis: State the alternative hypothesis: The type of test statistic: The value of the test statistic (rounded to three decimal places): The p value (rounded to three decimal places): The General Social Survey is an annual survey

  • Two Proportion Tests and Means

    1%; critical value = z = 2.326 Obtain a test statistic and p-value.

  • 8 Hypothesis Testing Questions

    Identify the null hypothesis, alternative hypothesis, test statistic, P-value, conclusion about the null hypothesis, and final conclusion that addresses the original claim. a.

  • Hypothesis Testing Proportions and Statistics

    • The null hypothesis H0: p ≤ 0.65 • The alternate hypothesis H1: p > 0.65 • The type of test statistic: z 1.068 • The value of the test statistic (round three decimal places): 1.068 • The p-value (round three decimal places): 1.645 Can

  • Hypothesis Testing of Mean & Proportion

    Mean 118.5854123 Z Test Statistic 5.902918299 Upper-Tail Test Upper Critical Value 1.644853627 p-Value 1.78564E-09 Reject the null hypothesis Tests about a Population Mean 3.

  • Applying the P-Value Approach

    Step4: P-value: The P- value of the test statistic is 0.0034 Step5: Statistical decision: Since the P-value of the test statistic is less than the significance level (that is 0.0.0034 < 0.05) we conclude that the sample does not provide enough

View More Related Solutions