Table of contents
- 1. Intro to Stats and Collecting Data24m
- 2. Describing Data with Tables and Graphs1h 55m
- 3. Describing Data Numerically53m
- 4. Probability1h 29m
- 5. Binomial Distribution & Discrete Random Variables1h 16m
- 6. Normal Distribution and Continuous Random Variables58m
- 7. Sampling Distributions & Confidence Intervals: Mean1h 3m
- 8. Sampling Distributions & Confidence Intervals: Proportion1h 5m
- 9. Hypothesis Testing for One Sample1h 1m
- 10. Hypothesis Testing for Two Samples2h 8m
- 11. Correlation48m
4. Probability
Complements
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Join thousands of students who trust us to help them ace their exams!Watch the first videoMultiple Choice
A weatherman states that the probability that it will rain tomorrow is 10%, or 0.1, & the probability that it will snow is 25%, or 0.25. What is the probability that it will not rain or snow?
A
0.35
B
0.65
C
0.75
D
0.90

1
Identify the given probabilities: the probability of rain (P(Rain)) is 0.1 and the probability of snow (P(Snow)) is 0.25.
Understand that the problem asks for the probability that it will not rain or snow. This is the complement of the event that it will either rain or snow.
Calculate the probability of rain or snow using the formula for the union of two events: P(Rain or Snow) = P(Rain) + P(Snow) - P(Rain and Snow).
Assume that rain and snow are independent events, meaning P(Rain and Snow) = P(Rain) * P(Snow). Calculate this value.
Find the probability that it will not rain or snow by taking the complement of the probability that it will rain or snow: P(Not Rain or Snow) = 1 - P(Rain or Snow).
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