How To Do T Test In Google Sheets
Video How to do a t-test in google sheets Comprehensively speaking, there are three types of t-tests:
- A sample t test
- Two sample t-tests
- Paired sample t-test
This tutorial provides examples of how to do each of these tests in Google Sheets. Read: how to do a test in Google Sheets.
Example: A sample t test
Definition: A sample t-test is used to check if the population mean is equal to some value.Example: A botanist wants to know if the average height of a certain plant is 15 inches. She collects a random sample of 12 plants and records the height of each tree in inches.The two hypotheses for this particular sample t-test are as follows:H0: = 15 (average height of this plant is 15 inches)RIVER: 15 (average height is not 15 inches) Read more: how to power multiple guitar pedals Because of the p-value in our test (0.120145) greater than alpha = 0.05, we cannot reject the null hypothesis of the test. We don’t have enough evidence to say that the average height of this particular plant is another 15 inches.
Example: Two sample t tests
Definition: A two-sample t-test is used to test whether the means of the two populations are equal.Example: The researchers wanted to know if two different plant species in a particular country had the same average height. They collected a random sample of 20 plants from each species and recorded the height of each tree in inches. T.TEST() function to determine if two population mean heights are equal:
Note: A two-sample one-sided t-test can also be performed with or without the assumption that both samples have the same variance. Refer to the T.TEST documentation for how to adjust the assumptions for the test. The two hypotheses for these two sample t tests are as follows:H0: μ1 = μ2 (two equal population means)H1: μfirst ≠ μ2 (two unequal overall averages) Read more: how to edit audio in Sony vegas pro 13 Because of the p-value in our test (0.530047) greater than alpha = 0.05, we cannot reject the null hypothesis of the test. We don’t have enough evidence to say that the average height of this particular plant is another 15 inches.
Example: T-Test of paired samples
Definition: The paired-sample t-test is used to compare the mean of two samples when each observation in one sample can be paired with an observation in the other sample.Example: We wanted to know if a program of study had a significant effect on a student’s performance on a particular exam. To test this, we had 20 students in a class take the test first. We then included each student in a two-week program of study. The students then retake a test of similar difficulty.
Note: A two-sample one-sided t-test can also be performed with or without the assumption that both samples have the same variance. Refer to the T.TEST documentation for how to adjust the assumptions for the test. The two hypotheses for this paired sample t-test are as follows:H0: μ1 = μ2 (two equal population means)H1: μfirst ≠ μ2 (two population mean are not equal) Since the p-value of our test (0.011907) less than alpha = 0.05, we reject the null hypothesis of the test. We have enough evidence to say that there is a statistically significant difference between the mean scores before and after the test. Read more: how to delete files from google drive on iPhone
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