Why is it important to be skeptical of statistical results reported in the media?
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
4. Probability
Basic Concepts of Probability
Struggling with Statistics?
Join thousands of students who trust us to help them ace their exams!Watch the first videoMultiple Choice
The Monte Carlo fallacy would most likely lead you to:
A
Assume that each coin toss is not independent of previous tosses
B
Believe that after a long sequence of in coin tosses, a is 'due' to occur soon
C
Expect that the probability of heads increases after several tails in a row
D
Correctly calculate the probability of getting heads in a row as
Verified step by step guidance1
Understand the concept of the Monte Carlo fallacy, which is the mistaken belief that past independent events affect the probabilities of future independent events.
Recognize that in coin tosses, each toss is independent, meaning the outcome of previous tosses does not influence the next toss.
Identify that the fallacy leads people to think that after a long sequence of heads, a tail is 'due' to occur soon, even though the probability remains constant at 0.5 for each toss.
Recall that the probability of getting 3 heads in a row is calculated by multiplying the probability of heads on each toss: \(\left(\frac{1}{2}\right) \times \left(\frac{1}{2}\right) \times \left(\frac{1}{2}\right) = \frac{1}{8}\).
Conclude that the Monte Carlo fallacy is about incorrectly assuming dependence between independent events, leading to wrong expectations about future outcomes.
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Basic Concepts of Probability practice set

