The hypothesized population mean is the value that we assume to be true for a population parameter before conducting a statistical test. It serves as a starting point for hypothesis testing.
Think of the hypothesized population mean as a target you aim at when playing darts. You start with an assumption of where the bullseye is, and then use data to determine if your assumption was accurate or not.
Null Hypothesis: The null hypothesis is a statement that assumes there is no significant difference or relationship between variables in a statistical test.
Alternative Hypothesis: The alternative hypothesis is a statement that contradicts the null hypothesis and suggests there is a significant difference or relationship between variables.
One-Sample t-test: A one-sample t-test is used to compare the mean of a single sample to a hypothesized population mean, determining if there is enough evidence to reject or fail to reject the null hypothesis.
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