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| Question | Answer |
|---|---|
| What is the t distribution? | It is the complete set of values computed for every possible random sample for a specific sample size (n) or a specific degree of freedom (df). |
| What is the trend for the t distribution? | As df gets very large, the t distribution gets closer in shape to a normal z-score. As n and df increase, the variability in the t distribution decreases, and it more closely resembles a normal distribution. |
| What should you do if your df is not in the t table? | Look up the critical t for the df values and use the larger t value. |
| What does standard error indicate? | It measures how accurately the sample statistic represents the parameter. 1-sample: measures amount of error expected for a sample mean representing a population mean. |
| What is the purpose of the chisquare test for goodness of fit? | It determines how well the obtained sample proportions fit the populatin proportions specified by the null hypothesis. |
| What is the purpose of the chi square test for independence? | Tests hypothesis bout the corresponding frequency distribution in the population using the frequency distribution for the sample |