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Show workings 11. In order to make inferences about the general population, we must collect a/an sample. a. Random b. Census c. Purposeful d. Hypothesized

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11. In order to make inferences about the general population, we must collect a/an sample. a. Random b. Census c. Purposeful d. Hypothesized 12. Increasing sample size a. Makes a confidence interval less precise b. Leads a confidence interval to be normally distributed c. Makes a confidence interval more precise d. Increases our confidence level 13. A population of 200 people is divided into two equal subgroups (for example, males and females). If we take a sample of 20 from each subgroup, the entire sample of 40 individuals is a/an: a. Simple random sample b. Systematic random sample c. Proportionate stratified sample d. Disproportionate stratified sample 14. When conducting a difference of means test, before we calculate our test statistic, we must pick a/an , which states the cutoff point at which we will say our results are significant and reject the null hypothesis. a. Z score b. P-value c. Hypothesis d. Alpha 15. If we drew all possible samples of N=100 from the population of all adults and graphed the mean income of each sample, we would create a/an: a. Purposive random sample b. / statistic c. Sampling distribution of the mean d. Z statistic21. For a random sample, every case in the population has to be selected. 22. A is the range of values within which we believe that measure is likely to fall for the population. 23. List 3 properties of a normal distribution: 24. Identify each of the following as a parameter or a statistic (1 point each): The mean age of all college students The standard deviation of income for a sample of 6,000 Americans The proportion of all Americans who live in a home they own The mean value of siblings reported by a sample of 518 residents of Missouri 25. Based on the following descriptions about a research project, circle the appropriate test method for each research condition: Small sample size: t-test z-test Test the significant difference: one-tailed test two-tailed test Compare working hours between female and male: one-sample test two-sample test

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