Table of contents
- 1. Intro to Stats and Collecting Data55m
- 2. Describing Data with Tables and Graphs1h 55m
- 3. Describing Data Numerically1h 45m
- 4. Probability2h 16m
- 5. Binomial Distribution & Discrete Random Variables2h 33m
- 6. Normal Distribution and Continuous Random Variables1h 38m
- 7. Sampling Distributions & Confidence Intervals: Mean1h 3m
- 8. Sampling Distributions & Confidence Intervals: Proportion1h 12m
- 9. Hypothesis Testing for One Sample1h 1m
- 10. Hypothesis Testing for Two Samples2h 8m
- 11. Correlation48m
- 12. Regression1h 4m
- 13. Chi-Square Tests & Goodness of Fit1h 20m
- 14. ANOVA1h 0m
1. Intro to Stats and Collecting Data
Intro to Stats
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 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 refers to countable data, often represented by whole numbers, where each value is distinct and separate.
Identify the characteristics of each option: Discrete data typically involves counting items or occurrences, whereas continuous data involves measurements that can take any value within a range.
Analyze the options: The weight of a bag of apples, temperature in a classroom, and time taken by a swimmer are examples of continuous data because they can take any value within a range and are measured rather than counted.
Consider the correct answer: The number of goals scored by a soccer team is discrete because goals are counted in whole numbers, and you cannot score a fraction of a goal.
Conclude that discrete data is characterized by countable, distinct values, such as the number of goals scored, which fits the definition of discrete quantitative data.
Watch next
Master Introduction to Statistics Channel with a bite sized video explanation from Patrick
Start learning