For the standard normal distribution, what is the probability that ? Choose the closest value.
Table of contents
- 1. Intro to Stats and Collecting Data1h 14m
- 2. Describing Data with Tables and Graphs1h 55m
- 3. Describing Data Numerically2h 5m
- 4. Probability2h 16m
- 5. Binomial Distribution & Discrete Random Variables3h 6m
- 6. Normal Distribution and Continuous Random Variables2h 11m
- 7. Sampling Distributions & Confidence Intervals: Mean3h 23m
- Sampling Distribution of the Sample Mean and Central Limit Theorem19m
- Distribution of Sample Mean - Excel23m
- Introduction to Confidence Intervals15m
- Confidence Intervals for Population Mean1h 18m
- Determining the Minimum Sample Size Required12m
- Finding Probabilities and T Critical Values - Excel28m
- Confidence Intervals for Population Means - Excel25m
- 8. Sampling Distributions & Confidence Intervals: Proportion1h 25m
- 9. Hypothesis Testing for One Sample3h 29m
- 10. Hypothesis Testing for Two Samples4h 50m
- Two Proportions1h 13m
- Two Proportions Hypothesis Test - Excel28m
- Two Means - Unknown, Unequal Variance1h 3m
- Two Means - Unknown Variances Hypothesis Test - Excel12m
- Two Means - Unknown, Equal Variance15m
- Two Means - Unknown, Equal Variances Hypothesis Test - Excel9m
- Two Means - Known Variance12m
- Two Means - Sigma Known Hypothesis Test - Excel21m
- Two Means - Matched Pairs (Dependent Samples)42m
- Matched Pairs Hypothesis Test - Excel12m
- 11. Correlation1h 24m
- 12. Regression1h 50m
- 13. Chi-Square Tests & Goodness of Fit2h 21m
- 14. ANOVA1h 57m
6. Normal Distribution and Continuous Random Variables
Standard Normal Distribution
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Join thousands of students who trust us to help them ace their exams!Watch the first videoMultiple Choice
For a two-tailed hypothesis test at the significance level using the standard normal distribution, what are the critical value(s) for ?
A
and
B
C
and
D
Verified step by step guidance1
Identify that the problem involves a two-tailed hypothesis test at the 5% significance level, which means the total area in both tails of the standard normal distribution is 0.05.
Since the test is two-tailed, split the significance level equally between the two tails: each tail will have an area of 0.025 (i.e., 0.05 / 2).
Use the standard normal distribution table (Z-table) or a statistical software to find the z-value that corresponds to the cumulative probability of 0.025 in the lower tail and 0.975 in the upper tail.
The critical values are the z-scores that mark the boundaries of the rejection regions: one negative z-value for the lower tail and one positive z-value for the upper tail.
Express the critical values as \(-z_{\alpha/2}\) and \(z_{\alpha/2}\), where \(\alpha = 0.05\), so the critical values are \(-z_{0.025}\) and \(z_{0.025}\).
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