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
Probabilities & Z-Scores w/ Graphing Calculator
Struggling with Statistics?
Join thousands of students who trust us to help them ace their exams!Watch the first videoMultiple Choice
Sketch a graph to represent the probability, then use a calculator to find it.
P(Z>1.14)
A
0.1271
B
0.1271
C
0.8729
D
0.8729

1
Identify the problem as finding the probability that a standard normal variable Z is greater than 1.14, denoted as P(Z > 1.14).
Understand that the standard normal distribution is symmetric around zero, with a mean of 0 and a standard deviation of 1.
Sketch the standard normal distribution curve, which is bell-shaped, and shade the area to the right of Z = 1.14. This shaded area represents P(Z > 1.14).
Use a standard normal distribution table (Z-table) or a calculator with statistical functions to find the cumulative probability P(Z < 1.14).
Subtract the cumulative probability from 1 to find P(Z > 1.14), since the total area under the curve is 1. This gives you the probability of Z being greater than 1.14.
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