Little Lotto In the Illinois Lottery game Little Lotto, an urn contains balls numbered 1–39. From this urn, 5 balls are chosen randomly, without replacement. For a \$1 bet, a player chooses one set of five numbers. To win, all five numbers must match those chosen from the urn. The order in which the balls are selected does not matter. What is the probability of winning Little Lotto with one ticket?
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: Proportion2h 10m
- 9. Hypothesis Testing for One Sample5h 6m
- Steps in Hypothesis Testing1h 6m
- Performing Hypothesis Tests: Means1h 4m
- Hypothesis Testing: Means - Excel42m
- Performing Hypothesis Tests: Proportions37m
- Hypothesis Testing: Proportions - Excel27m
- Performing Hypothesis Tests: Variance12m
- Critical Values and Rejection Regions28m
- Link Between Confidence Intervals and Hypothesis Testing12m
- Type I & Type II Errors15m
- 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. Regression3h 33m
- Linear Regression & Least Squares Method26m
- Residuals12m
- Coefficient of Determination12m
- Regression Line Equation and Coefficient of Determination - Excel8m
- Finding Residuals and Creating Residual Plots - Excel11m
- Inferences for Slope31m
- Enabling Data Analysis Toolpak1m
- Regression Readout of the Data Analysis Toolpak - Excel21m
- Prediction Intervals13m
- Prediction Intervals - Excel19m
- Multiple Regression - Excel29m
- Quadratic Regression15m
- Quadratic Regression - Excel10m
- 13. Chi-Square Tests & Goodness of Fit2h 21m
- 14. ANOVA1h 57m
5. Binomial Distribution & Discrete Random Variables
Hypergeometric Distribution
Problem 6.2.8
Textbook Question
In Problems 7–16, determine which of the following probability experiments represents a binomial experiment. If the probability experiment is not a binomial experiment, state why.
A random sample of 30 cars in a used car lot is obtained, and their mileages recorded.
Verified step by step guidance1
Recall the definition of a binomial experiment: it must have a fixed number of trials, each trial must be independent, each trial must have only two possible outcomes (success or failure), and the probability of success must be the same for each trial.
Identify the number of trials in the experiment: here, 30 cars are sampled, so there are 30 trials.
Check if each trial has only two possible outcomes: in this case, the mileage of each car is recorded, which is a continuous variable, not a binary outcome.
Determine if the trials are independent: assuming the sample is random, the mileages of different cars can be considered independent.
Since the outcome for each trial is not binary (success/failure), this experiment does not meet the criteria for a binomial experiment.
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Key Concepts
Here are the essential concepts you must grasp in order to answer the question correctly.
Binomial Experiment Criteria
A binomial experiment consists of a fixed number of independent trials, each with only two possible outcomes (success or failure), and a constant probability of success across trials. Understanding these criteria helps determine if a given experiment fits the binomial model.
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The Binomial Experiment
Independence of Trials
Independence means the outcome of one trial does not affect the outcome of another. In binomial experiments, each trial must be independent to ensure the probability of success remains constant throughout the experiment.
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Independence Test
Nature of the Data Collected
Binomial experiments involve categorical data with two outcomes, while recording mileages is a continuous measurement. Recognizing the type of data collected is essential to decide if the experiment qualifies as binomial.
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Introduction to Collecting Data
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