Table of contents
- 1. Introduction to Statistics53m
- 2. Describing Data with Tables and Graphs2h 1m
- 3. Describing Data Numerically1h 48m
- 4. Probability2h 26m
- 5. Binomial Distribution & Discrete Random Variables2h 55m
- 6. Normal Distribution & Continuous Random Variables1h 48m
- 7. Sampling Distributions & Confidence Intervals: Mean1h 17m
- 8. Sampling Distributions & Confidence Intervals: Proportion1h 20m
- 9. Hypothesis Testing for One Sample1h 8m
- 10. Hypothesis Testing for Two Samples2h 8m
- 11. Correlation48m
- 12. Regression1h 4m
- 13. Chi-Square Tests & Goodness of Fit1h 30m
- 14. ANOVA1h 4m
4. Probability
Introduction to Contingency Tables
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Join thousands of students who trust us to help them ace their exams!Watch the first videoMultiple Choice
The table below shows the results from a drug trial for a new ADHD medication. Use the table to find the probability that a person's symptoms improved, given that they received the placebo and identify the type of probability found.

A
0.1; Marginal probability
B
0.1; Conditional probability
C
0.2; Conditional probability
D
0.2; Marginal probability

1
Step 1: Understand the problem. We are tasked with finding the probability that a person's symptoms improved given that they received the placebo. This is a conditional probability problem, which involves focusing on a subset of the data (placebo group).
Step 2: Recall the formula for conditional probability. The conditional probability P(A|B) is calculated as P(A ∩ B) / P(B), where A is the event 'symptoms improved' and B is the event 'received placebo'.
Step 3: Identify the relevant values from the table. From the table, the number of people who received the placebo and whose symptoms improved is 10. The total number of people who received the placebo is 50.
Step 4: Apply the formula for conditional probability. Substitute the values into the formula: P(Improved | Placebo) = (Number of Improved and Placebo) / (Total Placebo) = 10 / 50.
Step 5: Interpret the type of probability. Since we are calculating the probability of an event (symptoms improved) given a specific condition (received placebo), this is a conditional probability.
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