Reports indicate that graduating students from a local high school have a mean English reading score of 51.8 with a stan

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Reports indicate that graduating students from a local high school have a mean English reading score of 51.8 with a stan

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Reports Indicate That Graduating Students From A Local High School Have A Mean English Reading Score Of 51 8 With A Stan 1
Reports Indicate That Graduating Students From A Local High School Have A Mean English Reading Score Of 51 8 With A Stan 1 (61.24 KiB) Viewed 36 times
Reports Indicate That Graduating Students From A Local High School Have A Mean English Reading Score Of 51 8 With A Stan 2
Reports Indicate That Graduating Students From A Local High School Have A Mean English Reading Score Of 51 8 With A Stan 2 (56.95 KiB) Viewed 36 times
Reports Indicate That Graduating Students From A Local High School Have A Mean English Reading Score Of 51 8 With A Stan 3
Reports Indicate That Graduating Students From A Local High School Have A Mean English Reading Score Of 51 8 With A Stan 3 (62.99 KiB) Viewed 36 times
Reports Indicate That Graduating Students From A Local High School Have A Mean English Reading Score Of 51 8 With A Stan 4
Reports Indicate That Graduating Students From A Local High School Have A Mean English Reading Score Of 51 8 With A Stan 4 (53.16 KiB) Viewed 36 times
Reports indicate that graduating students from a local high school have a mean English reading score of 51.8 with a standard deviation of 10.1. As an instructor in a rival school you are interested in seeing how your students compare. A random sample of 48 students from your program produces a mean score of 54.8 on the same test. Assume the standard deviation for your students is the same as for those in the other school. You want to test the hypothesis that the average test scores at your school are different from those in the other school. a) Calculate the appropriate test statistic for your sample. b) Give the absolute value of the critical values for a 5% significance level test of your hypothesis. c) Should you reject or keep the null hypothesis in this test? Answer 0 to keep it and 1 to reject it.

The police department of a city reports that the mean number of car thefts per neighbourhood per year is 6.1 with a standard deviation of 1.8. As the mayor of a suburban community just outside the city you are interested in how your community compares. The mean for a random sample of 30 neighbourhoods in your community is 5.5. You want demonstrate that the the crime rate in your community is lower than the crime rate in the city, in other words that ' < 6.1, where u' is the mean for your community. a) Calculate the appropriate test statistic for your sample. b) Using a significance level of 5%, what would the critical value be for this hypothesis test? c) Should you reject or keep the null hypothesis in this test? Answer 0 to keep it and 1 to reject it.

You want to see if flowers from population A are more likely to bloom in cold conditions than flowers from population B. You take a random sample of 52 flowers from population A, and in your experiment you see that 27 of them bloom. You take a sample of 59 flowers from population B, and the same experiment shows that 18 of them bloom. You want to show that PA - PB > 0. a) Calculate the appropriate test statistic for a test of your hypothesis.Give your answer to 2 decimal places b) What is the appropriate critical value for a test of your hypothesis at the 5% significance level? Should you keep or reject the null hypothesis in this case? Answer 0 to keep it, and 1 to reject it.

We have two normal populations. The standard deviation of the first population is 3.71, and that of the second population is 3.06. We take a sample from each population. The mean of the sample from population one is 32.26, and the mean of the sample from population two is 27.9. The samples have sizes 18 and 12 respectively. You want to argue that the mean of the first population is bigger than the mean of the second population, in other words that H1 H₂> 0. a) Calculate the appropriate test statistic. b) What would the appropriate critical value be for a test of your hypothesis at the 1% significance level? c) Should you reject or keep the null hypothesis in this test? Answer 0 to keep it and 1 to reject it.
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