If students in a class of passed an exam, what percent of the class passed?
Table of contents
- 1. Intro to Stats and Collecting Data1h 14m
- 2. Describing Data with Tables and Graphs1h 56m
- 3. Describing Data Numerically2h 5m
- 4. Probability2h 17m
- 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 - ExcelBonus23m
- Introduction to Confidence Intervals15m
- Confidence Intervals for Population Mean1h 18m
- Determining the Minimum Sample Size Required12m
- Finding Probabilities and T Critical Values - ExcelBonus28m
- Confidence Intervals for Population Means - ExcelBonus25m
- 8. Sampling Distributions & Confidence Intervals: Proportion2h 10m
- 9. Hypothesis Testing for One Sample5h 8m
- Steps in Hypothesis Testing1h 6m
- Performing Hypothesis Tests: Means1h 4m
- Hypothesis Testing: Means - ExcelBonus42m
- Performing Hypothesis Tests: Proportions37m
- Hypothesis Testing: Proportions - ExcelBonus27m
- Performing Hypothesis Tests: Variance12m
- Critical Values and Rejection Regions28m
- Link Between Confidence Intervals and Hypothesis Testing12m
- Type I & Type II Errors16m
- 10. Hypothesis Testing for Two Samples5h 37m
- Two Proportions1h 13m
- Two Proportions Hypothesis Test - ExcelBonus28m
- Two Means - Unknown, Unequal Variance1h 3m
- Two Means - Unknown Variances Hypothesis Test - ExcelBonus12m
- Two Means - Unknown, Equal Variance15m
- Two Means - Unknown, Equal Variances Hypothesis Test - ExcelBonus9m
- Two Means - Known Variance12m
- Two Means - Sigma Known Hypothesis Test - ExcelBonus21m
- Two Means - Matched Pairs (Dependent Samples)42m
- Matched Pairs Hypothesis Test - ExcelBonus12m
- Two Variances and F Distribution29m
- Two Variances - Graphing CalculatorBonus16m
- 11. Correlation1h 24m
- 12. Regression3h 33m
- Linear Regression & Least Squares Method26m
- Residuals12m
- Coefficient of Determination12m
- Regression Line Equation and Coefficient of Determination - ExcelBonus8m
- Finding Residuals and Creating Residual Plots - ExcelBonus11m
- Inferences for Slope31m
- Enabling Data Analysis ToolpakBonus1m
- Regression Readout of the Data Analysis Toolpak - ExcelBonus21m
- Prediction Intervals13m
- Prediction Intervals - ExcelBonus19m
- Multiple Regression - ExcelBonus29m
- Quadratic Regression15m
- Quadratic Regression - ExcelBonus10m
- 13. Chi-Square Tests & Goodness of Fit2h 21m
- 14. ANOVA2h 29m
4. Probability
Basic Concepts of Probability
Multiple Choice
Which of the following events has a theoretical probability equal to ?
A
Flipping a fair coin and getting heads
B
Drawing a heart from a standard deck of cards
C
Rolling a fair six-sided die and getting a multiple of
D
Rolling a fair six-sided die and getting a number less than
0 Comments
Verified step by step guidance1
Step 1: Understand the concept of theoretical probability, which is calculated as the ratio of the number of favorable outcomes to the total number of possible outcomes. The formula is: \(\text{Probability} = \frac{\text{Number of favorable outcomes}}{\text{Total number of possible outcomes}}\).
Step 2: Analyze each event to determine the number of favorable outcomes and total outcomes. For example, a fair six-sided die has 6 possible outcomes: {1, 2, 3, 4, 5, 6}.
Step 3: Calculate the probability for the event 'Rolling a fair six-sided die and getting a multiple of 3'. The favorable outcomes are {3, 6}, so the number of favorable outcomes is 2. The total outcomes are 6. Thus, the probability is \(\frac{2}{6}\).
Step 4: Simplify the fraction \(\frac{2}{6}\) to its lowest terms to check if it equals \(\frac{1}{3}\).
Step 5: Repeat the same process for the other events (flipping a coin, drawing a heart, rolling less than 3) and compare their probabilities to \(\frac{1}{3}\) to confirm which event matches the theoretical probability of \(\frac{1}{3}\).
Related Videos
Related Practice
Multiple Choice
62
views

