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
1. Introduction to Statistics
Intro to Stats
Struggling with Statistics for Business?
Join thousands of students who trust us to help them ace their exams!Watch the first videoMultiple Choice
Which of the following is a discrete quantitative set of data?
A
The weight (in kg) of a bag of apples in a grocery store
B
The temperature (in °C) in a classroom
C
The time (in seconds) it takes for a swimmer to complete a lap
D
The number of goals scored by a soccer team in a match

1
Understand the definition of discrete quantitative data: Discrete data can only take specific values, often counted in whole numbers, and there are gaps between these values.
Examine each option to determine if it represents discrete data: Discrete data is often associated with counts, such as the number of items or occurrences.
Consider the weight of a bag of apples: Weight is a continuous variable because it can take any value within a range and is measured, not counted.
Consider the temperature in a classroom: Temperature is also a continuous variable because it can take any value within a range and is measured, not counted.
Consider the number of goals scored by a soccer team: This is a discrete variable because goals are counted in whole numbers, and you cannot score a fraction of a goal.
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