In a box and whisker plot, what is the primary function of the whiskers?
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 57m
- 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
2. Describing Data with Tables and Graphs
Visualizing Qualitative vs. Quantitative Data
Struggling with Statistics?
Join thousands of students who trust us to help them ace their exams!Watch the first videoMultiple Choice
Which type of graph is most appropriate for analyzing the relationship between two quantitative variables, where one is and the other is ?
A
Pie chart
B
Pareto chart
C
Bar chart
D
Scatter plot
Verified step by step guidance1
Understand the types of variables involved: here, both variables are quantitative, meaning they are numerical and measurable.
Recognize that one variable is dependent (response variable) and the other is independent (predictor variable), which suggests we want to explore how changes in the independent variable affect the dependent variable.
Recall that a scatter plot is a graph that displays individual data points on a Cartesian plane, where the x-axis represents the independent variable and the y-axis represents the dependent variable.
Note that scatter plots are ideal for visualizing the relationship or correlation between two quantitative variables, allowing us to see patterns, trends, or clusters.
Compare with other graph types: pie charts and Pareto charts are used for categorical data, and bar charts are typically for comparing categories, so they are not suitable for analyzing relationships between two quantitative variables.
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