Tag | Value |
---|---|
file | Inferential_Statistics_vufsw-paired_samples-1147-en_vufsw-paired_samples-1147-en |
name | vufsw-paired samples-1147-en |
section | inferential statistics/parametric techniques/t-test/paired samples |
type | schoice |
solution | TRUE, FALSE, FALSE, FALSE |
Type | performing analysis |
Program | calculator |
Language | English |
Level | statistical thinking |
30 employees of a multinational filled out a questionnaire twice, which, among other things, recorded how much time (measured in number of minutes per week) employees spend on various activities, such as attending meetings and answering e-mails. The first measurement took place a month prior to an ‘effective meeting’ course, and the second measurement two months after the end of this course. A researcher expects that the course has had an effect and employees spend less time on meetings after the course. Suppose the results below were found. The hypothesis is tested with a significance level of 5% (alpha = 0.05).
N | mean time (measurement 1) | mean time (measurement 2) | mean difference | standard error (se) of the mean difference |
30 | 56.2 minutes per week | 51.9 minutes per week | 4.3 | 2.2 |
Is the null hypothesis H0 rejected?
The t value is calculated by t = (mean1 -mean2) / se = 1.95.
In table B, critical value; df = 29; alpha = 0.05; one sided, thus t = 1.70.
Thus observed t value > critical t value.