Knowee
Questions
Features
Study Tools

Which of the following is an inferential statistical method to find out the difference between two datasets?T-TestAnnovaCorrelation MatrixAll of the following

Question

Which of the following is an inferential statistical method to find out the difference between two datasets?

  • T-Test
  • Annova
  • Correlation Matrix
  • All of the following
🧐 Not the exact question you are looking for?Go ask a question

Solution

All of the following options, T-Test, ANOVA, and Correlation Matrix, are inferential statistical methods used to find out the difference between two datasets.

  1. T-Test: This is a statistical hypothesis test used to determine whether there is a significant difference between the means of two groups.

  2. ANOVA (Analysis of Variance): This is a statistical method used to test the differences between two or more means. It may seem odd that the technique is called "Analysis of Variance" rather than "Analysis of Means."

  3. Correlation Matrix: This is a table showing correlation coefficients between variables. Each cell in the table shows the correlation between two variables. A correlation matrix is used to summarize data, as an input into a more advanced analysis, and as a diagnostic for advanced analyses.

So, the answer is "All of the following".

This problem has been solved

Similar Questions

Which of the following is a non-parametric statistical method? Linear Regression Chi-Square Test ANOVA T-test

Given a dataset, describe the appropriate statistical tests for analysis.Discuss the limitations of different statistical methods.

Which statistical method is used to analyze the differences among group means in a dataset?

There are only two conclusions possible when you do an inferential statistics test.Select one:TrueFalse

Which of the following is NOT a descriptive statistic?a. t-test b. mean c. standard deviation d. rang

1/1

Upgrade your grade with Knowee

Get personalized homework help. Review tough concepts in more detail, or go deeper into your topic by exploring other relevant questions.