  Hypothesis Testing & Means

Quiz by Alexandra Razor

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Correct quiz answers unlock more play!  15 questions
• Q1
When working with means, what type of test is it?
t-test
Chi-squared test
z-test
p-test
120s
• Q2
A 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 sample
1.78
8.9
12.75
0.356
120s
• Q3
Population 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?
2.0
1.5
120s
• Q4
Population 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?
14
34
can't be determined
18
120s
• Q5
Which is NOT a condition for means?
Random
Nearly Normal
Independent
10 success and 10 failures
120s
• Q6
On 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.
18
17
19
16
30s
• Q7
On 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 error
3.19
6.75
13.55
3.3
60s
• Q8
On 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 level
1.96
2.1
2.01
2.11
60s
• Q9
On 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 level
13.55
6.74
6.25
2.11
120s
• Q10
On 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
• Q11
A 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 test
2 sample z-test
1 sample t-test
2 sample t-test
120s
• Q12
A 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) > 0
Ho: Mean(boys) - Mean(girls) < 0
Ho: Mean(boys) - Mean(girls) = 0
120s
• Q13
A 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 tailed
1-tailed
Can't be determined
120s
• Q14
A 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)
0.24
0.53
1.24
120s
• Q15
A 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?
0.53
0.06
0.6
120s

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