Exam 1

1. Metainformation

   Tag	Value
   file	Inferential_Statistics_vufsw-one_sample_mean-1171-en_vufsw-one_sample_mean-1171-en
   name	vufsw-one sample mean-1171-en
   section	inferential statistics/parametric techniques/t-test/one sample mean
   type	schoice
   solution	TRUE, FALSE, FALSE, FALSE
   Type	test choice
   Program	NA
   Language	English
   Level	statistical literacy

   Question

   Suppose a researcher wants to test whether the average number of hours that young people listen to music is higher than 15 hours per week. Which statistical technique or test is most suitable for testing this?

   
   
   1. TRUE: One-sample t-test
   2. FALSE: Independent t-test
   3. FALSE: Chi-squared test
   4. FALSE: Single regression
   
   

   Solution

   It is a one sample t test.
   The One Sample t Test determines whether the sample mean is statistically different from a known or hypothesized population mean.

   The independent t-test  compares the means of two independent groups in order to determine whether there is statistical evidence that the associated population means are significantly different.

   The chi-squared test is used to determine whether there is a significant difference between the expected frequencies and the observed frequencies in one or more categories.

   Simple linear regression is a statistical method that allows us to summarize and study relationships between two continuous (quantitative) variables.

   Levels of Difficulty
   Easy

   M&T Hypothesis testing: means
   Default value

   M&T Model selection
   Default value

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