Final Exam - Intro to Statistics Tuesday 5/25/2021 Start 6:35 PM
- Due May 25, 2021 at 8:30pm
- Points 15
- Questions 30
- Available May 25, 2021 at 6:35pm - May 25, 2021 at 8:30pm 1 hour and 55 minutes
- Time Limit 115 Minutes
- Allowed Attempts 2
Instructions
estimated standard error is
here is the formula for the T-statistic: =
F-test Statistics =
Chi-Square Test Statistic = %255E2%257D%257B%255Ctext%257Bexpected%257D%257D)
df = (r − 1)(c − 1), where r is the number of rows and c is the number of columns in the two-way table
One-sample T-interval:
Confidence Interval=
Convert a sample mean bar into a z-score:
Here are the critical Z-values for commonly used confidence levels.
| Confidence Level | Critical Value Zc |
| 90% | 1.645 |
| 95% | 1.960 |
| 99% | 2.576 |
To estimate a difference in population proportions (or a treatment effect), the statistic is a difference in sample proportions. So the confidence interval is
| (difference in sample proportions) ± margin of error |
Also, since we do not know the values of the population proportions, we estimate the standard error by using sample proportions in the formula for the margin of error.
| Zc√ˆp1(1−ˆp1)n1+ˆp2(1−ˆp2)n2 |
for population proportions using the pooled proportion.
| ˆp = x1 + x2n1 + n2 |
With this pooled proportion, we estimate the standard error to compute the Z-test statistic