Exam 1

1. Metainformation

   Tag	Value
   file	Inferential_Statistics_vufsw-independent_samples_means-1243-en_vufsw-independent_samples_means-1243-en
   name	vufsw-independent samples means-1243-en
   section	inferential statistics/parametric techniques/t-test/independent samples means
   type	schoice
   solution	FALSE, TRUE, FALSE, FALSE
   Type	test choice
   Program	NA
   Language	English
   Level	statistical literacy

   Question

   The Executive Board of the VU wants to know whether the degree of satisfaction with the study (measured on a scale of 1 to 10) is related to the gender of the student. For this she bases herself on evaluation scores of 100 randomly selected female and male students. Which statistical test is most suitable for testing the hypothesis?

   
   
   1. FALSE: One sample t-test
   2. TRUE: Independent t-test
   3. FALSE: Dependent t-test
   4. FALSE: Chi-sqare test
   
   

   Solution

   It is the independent t test. The independent t-test, is an inferential statistical test that determines whether there is a statistically significant difference between the means in two unrelated groups.

   The dependent t-test (also called the paired t-testor paired-samples t-test) compares the means of two related groups to determine whether there is a statistically significant difference between these means.

   The One Sample t Test** is commonly used to test the following:**

   1. Statistical difference between a sample mean and a known or hypothesized value of the mean in the population.
   2. Statistical difference between the sample mean and the sample midpoint of the test variable.

    Use the chi-square test for independence to determine whether there is a significant relationship between two categorical variables.

   M&T Hypothesis testing: means
   Default value

   M&T Model selection
   Default value

   
   
   1. False
   2. True
   3. False
   4. False