Discover the appropriate inferential statistical method for determining significant differences between two group means. Explore t-tests, p-values, Z-scores, and Chi-squared tests to enhance your data analysis skills and ace the CompTIA DA0-001 certification exam.
Table of Contents
Question
Which of the following inferential statistical methods would be used to determine if there is a significant difference between the means of two groups?
A. p-value
B. Z-score
C. Chi-squared test
D. t-test
Answer
D. t-test
Explanation
A t-test is the most appropriate inferential statistical method for determining if there is a significant difference between the means of two groups. The t-test compares the means of two independent samples or two related samples to assess whether the difference is statistically significant or due to random chance.
P-values, Z-scores, and Chi-squared tests serve different purposes in inferential statistics:
- A p-value is a probability that indicates the likelihood of obtaining the observed results if the null hypothesis is true. It is used to determine statistical significance but is not a specific test for comparing means.
- Z-scores measure how many standard deviations an observation or data point is from the mean. They are used for standardization and comparing values from different normal distributions but not for directly comparing means.
- The Chi-squared test is used to determine if there is a significant relationship between two categorical variables. It compares observed frequencies to expected frequencies but does not compare means.
Therefore, the t-test is the most suitable method for comparing the means of two groups and determining if the difference is statistically significant.
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