The one-sample Student's t-Test determines whether or not the mean of a sample taken from a normally distributed population is consistent with the hypothetical value for a given confidence level. By choosing a one- or two-tailed t-test, you can test how likely it is that the sample mean is greater than, less than, or equal to the true population mean. Note that the one-sample t-test is appropriate when the standard deviation of the entire population is unknown.
The t statistic value and p-value will be calculated to decide whether or not to reject the null hypothesis. The p-value is the probability that null hypothesis is true, and a small p-value suggests that you should reject it.
The confidence interval provides lower and upper limits for the possible value of the population mean. For a given significance level, , this interval indicates we have confidence to say the true population mean falls within the interval.
The missing values in the data range will be excluded in the analysis
To perform a one-sample t-test:
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