One sample t-Test in R
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In this video, you will learn how to carry out one sample T-test in R studio.
The Video
will include:
- Brief description of T-Test
- Example data set
- Performing one sample T-Test in R studio
When the mean and standard deviation of the population is not known. The
sampling distribution of means determines the expected values of mean and
standard deviation. T-Distribution is usually used for a limited sample size.
While Z-Distribution is usually appropriate for a large sample size. As the
sample size increases the sampling distribution of means becomes a normal
distribution.
To test whether the sample means is statistically
different from a population mean is called a T-test.
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