The table below shows the results from a drug trial for a new ADH...

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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
- Introduction to Confidence Intervals
  22m
- Confidence Intervals for Population Mean
  55m
8. Sampling Distributions & Confidence Intervals: Proportion1h 20m
- Sampling Distribution of Sample Proportion
  35m
- Confidence Intervals for Population Proportion
  45m
9. Hypothesis Testing for One Sample1h 8m
- Steps in Hypothesis Testing
  1h 8m
10. Hypothesis Testing for Two Samples2h 8m
11. Correlation48m
- Scatterplots & Intro to Correlation
  26m
- Correlation Coefficient
  21m
12. Regression1h 4m
13. Chi-Square Tests & Goodness of Fit1h 30m
14. ANOVA1h 4m

4. Probability

Introduction to Contingency Tables

Statistics for Business

4. Probability

Introduction to Contingency Tables

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Multiple 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 didn't improve and they received the non-placebo and identify the type of probability found.

0.4; Joint probability

0.4; Conditional probability

0.2; Joint probability

0.2; Conditional probability

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Verified step by step guidance

Step 1: Understand the problem. We are tasked with finding the probability that a person's symptoms didn't improve and they received the non-placebo. Additionally, we need to identify the type of probability being calculated (joint or conditional).

Step 2: Review the table. The table provides data on the number of people whose symptoms improved or didn't improve, categorized by whether they received the placebo or non-placebo. Specifically, the 'Not Improved' and 'Non-Placebo' intersection is 20.

Step 3: Calculate the joint probability. Joint probability refers to the probability of two events happening simultaneously. To calculate this, divide the number of people who didn't improve and received the non-placebo (20) by the total number of participants (100). The formula is:

\frac{20}{100}

Step 4: Understand conditional probability. Conditional probability refers to the probability of one event occurring given that another event has already occurred. If this were a conditional probability question, we would need to divide the number of people who didn't improve and received the non-placebo (20) by the total number of people who received the non-placebo (50). The formula would be:

\frac{20}{50}

Step 5: Identify the type of probability. Based on the problem, we are calculating the probability of two events happening simultaneously ('Not Improved' and 'Non-Placebo'), which is a joint probability.

5:35m

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Struggling with Statistics for Business?

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 didn't improve and they received the non-placebo and identify the type of probability found.

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