Which of the following best describes the difference between data and data?
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
3. Describing Data Numerically
Describing Data Numerically Using a Graphing Calculator
Struggling with Statistics?
Join thousands of students who trust us to help them ace their exams!Watch the first videoMultiple Choice
Which one of the following is not an example of discrete data?
A
The number of books on a shelf
B
The number of cars in a parking lot
C
The height of students measured in
D
The number of students in a classroom
Verified step by step guidance1
Step 1: Understand the difference between discrete and continuous data. Discrete data consists of countable values, often integers, such as the number of objects or people. Continuous data can take any value within a range and is often measured, such as height or weight.
Step 2: Analyze each option to determine if it is discrete or continuous. For example, 'The number of books on a shelf' is countable and can only be whole numbers, so it is discrete.
Step 3: Similarly, 'The number of cars in a parking lot' and 'The number of students in a classroom' are also countable and discrete because you cannot have fractional cars or students.
Step 4: Consider 'The height of students measured in centimeters.' Height is measured and can take any value within a range, including decimals, making it continuous data rather than discrete.
Step 5: Conclude that the height of students is not an example of discrete data, while the other options are examples of discrete data.
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