Which of the following statements best describes a probability distribution?
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
Which of the following is an example of inferential statistics?
A
Listing the number of red and blue cars in a parking lot
B
Calculating the mean of students in a specific classroom
C
Estimating the average of all students at a university based on a sample
D
Organizing exam scores into a frequency table
Verified step by step guidance1
Understand the difference between descriptive and inferential statistics. Descriptive statistics summarize or describe the characteristics of a data set, such as listing counts, calculating means, or organizing data into tables.
Identify examples of descriptive statistics in the options: listing the number of red and blue cars, calculating the mean age of students in a classroom, and organizing exam scores into a frequency table all describe or summarize data directly observed.
Recognize that inferential statistics involve making predictions, estimates, or generalizations about a larger population based on a sample of data.
Look at the option 'Estimating the average height of all students at a university based on a sample' — this involves using sample data to infer something about the entire population, which is the essence of inferential statistics.
Conclude that the correct example of inferential statistics is the one that uses sample data to make an estimate about a population parameter.
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