Homework Help is Here – Start Your Trial Now!
Math
Statistics
A statistical analysis is internally valid if: OA. all t-statistics are greater than |1.96|. O B. the population is small, say less than 2,000, and can be observed. O C. the regression R² > 0.05. OD. the statistical inferences about causal effects are valid for the population studied.

A statistical analysis is internally valid if: OA. all t-statistics are greater than |1.96|. O B. the population is small, say less than 2,000, and can be observed. O C. the regression R² > 0.05. OD. the statistical inferences about causal effects are valid for the population studied.

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
See similar textbooks
icon
Related questions
Question
**Title: Understanding Internal Validity in Statistical Analysis** A statistical analysis is considered internally valid if: - **A.** all *t*-statistics are greater than |1.96|. - **B.** the population is small, say less than 2,000, and can be observed. - **C.** the regression \( R^2 \) > 0.05. - **D.** the statistical inferences about causal effects are valid for the population studied. ### Explanation: This multiple choice question aims to evaluate the criteria for internal validity in statistical analyses. Here’s what each option implies: - **Option A:** Suggests that for internal validity, all test statistics need to exceed a specific critical value, implying strong evidence against the null hypothesis. - **Option B:** Assumes that a smaller, fully observable population may contribute to internal validity, focusing on the comprehensive analysis of the given group. - **Option C:** Relates internal validity to the strength of the relationship in regression analysis, measured by \( R^2 \), though usually higher values are desired. - **Option D:** Focuses on the accuracy of causal inferences made within the study’s context and applicability to the studied population.
Transcribed Image Text:**Title: Understanding Internal Validity in Statistical Analysis** A statistical analysis is considered internally valid if: - **A.** all *t*-statistics are greater than |1.96|. - **B.** the population is small, say less than 2,000, and can be observed. - **C.** the regression \( R^2 \) > 0.05. - **D.** the statistical inferences about causal effects are valid for the population studied. ### Explanation: This multiple choice question aims to evaluate the criteria for internal validity in statistical analyses. Here’s what each option implies: - **Option A:** Suggests that for internal validity, all test statistics need to exceed a specific critical value, implying strong evidence against the null hypothesis. - **Option B:** Assumes that a smaller, fully observable population may contribute to internal validity, focusing on the comprehensive analysis of the given group. - **Option C:** Relates internal validity to the strength of the relationship in regression analysis, measured by \( R^2 \), though usually higher values are desired. - **Option D:** Focuses on the accuracy of causal inferences made within the study’s context and applicability to the studied population.
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 2 steps

SEE SOLUTIONCheck out a sample Q&A here
Blurred answer
Similar questions
Recommended textbooks for you
MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman
SEE MORE TEXTBOOKS