STATS 250 Lecture Notes - Lecture 6: Null Hypothesis, Statistical Parameter, Alternative Hypothesis
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STATS 250 Full Course Notes
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Stats 250: introduction to statistics - lecture 6: testing about a population proportion. Verify necessary data conditions, and if met, summarize the data into an appropriate test statistic. Assuming the null hypothesis is true, find the p-value. Decide whether or not the result is statistically significant based on the p-value. Report the conclusion in the context of the situation. A statement that there is no effect, no difference, that nothing is happening. Usually referred to as the status quo. A generic null hypothesis can be expressed as h0: population parameter. = null value, where the null value is the specific number the parameter equals if the null hypothesis is true. A statement that there is a relationship, there is a difference, that something has changed or something is happening. This statement is about the population parameter, not a sample statistic. When ha specifies a single direction (p > p0, p < p0), the test is called a one-sided hypothesis test.
