Hypothesis Testing & Means

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15 questions

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- Q1When working with means, what type of test is it?t-testChi-squared testz-testp-test120s
- Q2A study examined the effect of a certain medicine on the seated systolic blood pressure. The mean was 113.5, standard deviation was 8.9, and the sample size was 25. Determine the standard error for the sample1.788.912.750.356120s
- Q3Population 1 has a mean of 20 and a standard deviation of 10. Population 2 has a mean of 15 and a standard deviation of 8. You sample 20 scores from population 1 and 16 scores from population 2. What is the mean of the sampling distribution of the difference of the means?2.01.5120s
- Q4Population 1 has a mean of 20 and a standard deviation of 10. Population 2 has a mean of 15 and a standard deviation of 8. You sample 20 scores from population 1 and 16 scores from population 2. What is the degrees of freedom?1434can't be determined18120s
- Q5Which is NOT a condition for means?RandomNearly NormalIndependent10 success and 10 failures120s
- Q6On our last Stats test, the average score was 75.1 with standard deviation of 13.55. If there are 18 students who took the test, determine the degrees of freedom.1817191630s
- Q7On our last Stats test, the average score was 75.1 with standard deviation of 13.55. If there are 18 students who took the test, determine the standard error3.196.7513.553.360s
- Q8On our last Stats test, the average score was 75.1 with standard deviation of 13.55. If there are 18 students who took the test, determine the t* for a 95% confidence level1.962.12.012.1160s
- Q9On our last Stats test, the average score was 75.1 with standard deviation of 13.55. If there are 18 students who took the test, determine the margin of error for a 95% confidence level13.556.746.252.11120s
- Q10On our last Stats test, the average score was 75.1 with standard deviation of 13.55. If there are 18 students who took the test, determine the confidence interval(61.55, 88.65)(68.4, 81.8)(62.7, 79.3)120s
- Q11A researcher wants to see if their is a significant difference between the when boys and girls begin walking. Of 81 girls, the mean age of walking is 11.9 months with a standard deviation of 3.4 months. Of 88 boys in the sample, the mean walking age is 12.2 months with a standard deviation of 4 months. What type of test is this?walking test2 sample z-test1 sample t-test2 sample t-test120s
- Q12A researcher wants to see if their is a significant difference between the when boys and girls begin walking. Of 81 girls, the mean age of walking is 11.9 months with a standard deviation of 3.4 months. Of 88 boys in the sample, the mean walking age is 12.2 months with a standard deviation of 4 months. What is an appropriate Ho?Ho: Mean(boys) - Mean(girls) > 0Ho: Mean(boys) - Mean(girls) < 0Ho: Mean(boys) - Mean(girls) = 0120s
- Q13A researcher wants to see if their is a significant difference between the when boys and girls begin walking. Of 81 girls, the mean age of walking is 11.9 months with a standard deviation of 3.4 months. Of 88 boys in the sample, the mean walking age is 12.2 months with a standard deviation of 4 months. Is this a 1-tail or 2-tail?2 tailed1-tailedCan't be determined120s
- Q14A researcher wants to see if their is a significant difference between the when boys and girls begin walking. Of 81 girls, the mean age of walking is 11.9 months with a standard deviation of 3.4 months. Of 88 boys in the sample, the mean walking age is 12.2 months with a standard deviation of 4 months. What is the t-score (use your calculator test menu)0.240.531.24120s
- Q15A researcher wants to see if their is a significant difference between the when boys and girls begin walking. Of 81 girls, the mean age of walking is 11.9 months with a standard deviation of 3.4 months. Of 88 boys in the sample, the mean walking age is 12.2 months with a standard deviation of 4 months. What is the p-value?0.530.060.6120s