one sample t-test

1. What is a one sample t test?
2. What is the difference between one sample and two sample t test?
3. What are the conditions for a one sample t test?
4. What does a one sample t test compare?
5. What is p value in t test?
6. How do you interpret a one sample t test in SPSS?
7. When should you use a two-sample t-test?
8. What is p value in 2 sample t-test?
9. Which t-test should I use?
10. What is the minimum sample size for t test?
11. How do you reject the null hypothesis in t test?
12. What is the test value in a one sample t test?

What is a one sample t test?

The one-sample t-test is a statistical hypothesis test used to determine whether an unknown population mean is different from a specific value.

What is the difference between one sample and two sample t test?

As we saw above, a 1-sample t-test compares one sample mean to a null hypothesis value. A paired t-test simply calculates the difference between paired observations (e.g., before and after) and then performs a 1-sample t-test on the differences.

What are the conditions for a one sample t test?

The one sample t-test has four main assumptions:

• The dependent variable must be continuous (interval/ratio).
• The observations are independent of one another.
• The dependent variable should be approximately normally distributed.
• The dependent variable should not contain any outliers.

What does a one sample t test compare?

The one-sample t-test compares the mean of a single sample to a predetermined value to determine if the sample mean is significantly greater or less than that value. The independent sample t-test compares the mean of one distinct group to the mean of another group.

What is p value in t test?

A p-value is the probability that the results from your sample data occurred by chance. P-values are from 0% to 100%. They are usually written as a decimal. For example, a p value of 5% is 0.05.

How do you interpret a one sample t test in SPSS?

How to Do a One Sample T Test and Interpret the Result in SPSS

1. Analyze -> Compare Means -> One-Sample T Test.
2. Drag and drop the variable you want to test against the population mean into the Test Variable(s) box.
3. Specify your population mean in the Test Value box.
4. Click OK.
5. Your result will appear in the SPSS output viewer.

When should you use a two-sample t-test?

The two-sample t-test (Snedecor and Cochran, 1989) is used to determine if two population means are equal. A common application is to test if a new process or treatment is superior to a current process or treatment. There are several variations on this test. The data may either be paired or not paired.

What is p value in 2 sample t-test?

The p-value is the probability that the difference between the sample means is at least as large as what has been observed, under the assumption that the population means are equal. ...

Which t-test should I use?

If you are studying one group, use a paired t-test to compare the group mean over time or after an intervention, or use a one-sample t-test to compare the group mean to a standard value. If you are studying two groups, use a two-sample t-test. If you want to know only whether a difference exists, use a two-tailed test.

What is the minimum sample size for t test?

There is no minimum sample size for the t test to be valid other than it be large enough to calculate the test statistic. if your data are not normally distributed, go for the Mann-Whitney U Test in non-parametric statistics to compare those two groups.

How do you reject the null hypothesis in t test?

If the absolute value of the t-value is greater than the critical value, you reject the null hypothesis. If the absolute value of the t-value is less than the critical value, you fail to reject the null hypothesis.

What is the test value in a one sample t test?

A Test Value: The number we entered as the test value in the One-Sample T Test window. B t Statistic: The test statistic of the one-sample t test, denoted t. In this example, t = 5.810. Note that t is calculated by dividing the mean difference (E) by the standard error mean (from the One-Sample Statistics box).