T-Test Analysis - Parametric : Single Sample Independent Paired

Based on the video, this is a type of inferential, parametric statistical tool for evaluating the means of one or two populations using hypothesis testing.

The video explained that ________________________ is a measurable difference between the groups and that, statistically, the probability of obtaining that difference by chance is very small.

In the video, there are three (3) types of T-Tests. These are all included EXCEPT:

• Single Mean T-Test

• Independent Samples T-Test

• Paired Samples T-Test

• Dependent Samples T-Test

This is a type of T-Test which aims to decide whether the sample mean is equal to the predefined population mean, or not.

From the video, this is a type of T-Test which simply tests for the difference in means of 2 independent populations.

This is a type of T-Test that verifies whether there is a difference in a group between two points in time.

A researcher wants to answer the question "Is the mean weight of the sample of 45 guinea pigs 1,000 grams?" What type of T-Test must the researcher use?

A nutritionist wants to determine "Whether the RBC count of patients taking Supplement A is equal to RBC count of patients taking Supplement B? What type of T-Test must the researcher use? 

A medical researcher wants to answer the question "Is there a difference in the agility test scores before and after training?" What type of T-Test must the researcher use?

Based on the video, when the p value is less than 0.05 what conclusion can we make?

• Fail to Reject the Null Hypothesis

• Reject the Alternate Hypothesis

• There is no significant difference between the means of the populations.

• There is a significant difference between the means of the populations.