| Tag | Value |
|---|---|
| file | Inferential_Statistics_vufsw-t-statistic-1135-en_vufsw-t-statistic-1135-en |
| name | vufsw-t-statistic-1135-en |
| section | inferential statistics/nhst/rest statistic/t-statistic |
| type | schoice |
| solution | TRUE, FALSE, FALSE, FALSE |
| Type | conceptual |
| Program | NA |
| Language | English |
| Level | statistical literacy |
A researcher took a random sample of 50 men and 52 women and, among other things, asked about the number of hours that respondents spend on the internet per week. The null hypothesis H0 is that there is no difference between men and women; the alternative hypothesis Ha of the researcher is that the average number of hours per week does differ between men and women. This is tested with alpha = 0.01. Below is (a part of) the results.
| mean difference | standard error of the mean difference | Degrees of freedom |
| 0.535 | 0.954 | 100 |
Suppose the mean number of hours among the men in the sample would have been much higher. Which quantity (or quantities) change as a result of the higher average of men?
The alpha is a quantity you decide on for the testing. The t value can be calculated with the mean difference divided by the standard error. If the mean of the men is higher the mean difference will also be higher, so the t value also higher.
If you want to know more about t test calculation watch this clip
Language
Nederlands
Levels of Difficulty
Medium
M&T BIS
Default value
M&T Hypothesis testing: means
Default value