Question: Based on a recent census, sUppose it is known that the population proportion of Canadians aged 25-64 that base a post-secondaryr degree is 54%. Interested




Based on a recent census, sUppose it is known that the population proportion of Canadians aged 25-64 that base a post-secondaryr degree is 54%. Interested in testing concepts from your statistics course. suppose that you collect a random sample of Canadians aged 25134 to determine 1whether your sample results agree 1|With what is known about the population. In your sample of siZe n = 35. 13 individuals aged 25-64 have a postsecondary degree. Based on your sample, test the null hypothesis that the population proportion is 54 (against the alternative hypothesis that it is not). Use a significance threshold of o = 0.05. Indicate whether the results of the test suggest the null hypothesis should be rejected. You may use geogebra to help out with computations for this problem.Suppose that it is known with absolute certainty that the true population proportion is 54%, and that your sample was selected using appropriate (simple) random sam- pling from this entire population. What is the probability that the 95% confidence interval generated from a sample of size n = 35 would contain the true population parameter?Again, it is known with absolute certainty that the true population proportion is 5470, and that your sampling strategy is appropriate for the population. If a hypothesis test is conducted on a sample of size n = 35, with a null hypothesis that the population proportion is .54 and an alternative hypothesis that it is not, and using a significance threshold of o = 0.05, what is the probability that this test will reject the (true) null hypothesis
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