Table of contents
- 1. Intro to Stats and Collecting Data55m
- 2. Describing Data with Tables and Graphs1h 55m
- 3. Describing Data Numerically1h 45m
- 4. Probability2h 16m
- 5. Binomial Distribution & Discrete Random Variables2h 33m
- 6. Normal Distribution and Continuous Random Variables1h 38m
- 7. Sampling Distributions & Confidence Intervals: Mean1h 3m
- 8. Sampling Distributions & Confidence Intervals: Proportion1h 12m
- 9. Hypothesis Testing for One Sample1h 1m
- 10. Hypothesis Testing for Two Samples2h 8m
- 11. Correlation48m
- 12. Regression1h 4m
- 13. Chi-Square Tests & Goodness of Fit1h 20m
- 14. ANOVA1h 0m
6. Normal Distribution and Continuous Random Variables
Standard Normal Distribution
Struggling with Statistics?
Join thousands of students who trust us to help them ace their exams!Watch the first videoMultiple Choice
Find the z-score such that P(Z < z)=0.6331.
A
0.34
B
0.75
C
0.62
D
0.66

1
Understand that the problem is asking for a z-score corresponding to a given probability in a standard normal distribution. The probability given is P(Z < z) = 0.6331.
Recall that the z-score is a measure of how many standard deviations an element is from the mean. In a standard normal distribution, the mean is 0 and the standard deviation is 1.
Use a standard normal distribution table (z-table) or a statistical software to find the z-score that corresponds to the cumulative probability of 0.6331.
Locate the probability value 0.6331 in the z-table. The z-table lists cumulative probabilities for z-scores, so you need to find the closest value to 0.6331.
Once you find the closest probability value in the z-table, identify the corresponding z-score. This z-score is the solution to the problem.
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