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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: Mean2h 8m
8. Sampling Distributions & Confidence Intervals: Proportion1h 20m
- Sampling Distribution of Sample Proportion
  35m
- Confidence Intervals for Population Proportion
  45m
9. Hypothesis Testing for One Sample2h 23m
10. Hypothesis Testing for Two Samples3h 25m
11. Correlation1h 6m
12. Regression1h 4m
13. Chi-Square Tests & Goodness of Fit1h 30m
14. ANOVA1h 4m

1. Introduction to Statistics

Intro to Stats

Statistics for Business

1. Introduction to Statistics

Intro to Stats

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Multiple Choice

Which of the following is a discrete quantitative set of data?

The weight (in kg) of a bag of apples in a grocery store

The temperature (in °C) in a classroom

The time (in seconds) it takes for a swimmer to complete a lap

The number of goals scored by a soccer team in a match

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Verified step by step guidance

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.