In the context of frequency distributions, what is the main difference between class limits and class boundaries?
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
2. Describing Data with Tables and Graphs
Frequency Distributions
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Join thousands of students who trust us to help them ace their exams!Watch the first videoMultiple Choice
Which of the following best describes the difference between a and an in ?
A
A uses bars to represent frequencies, while an uses dots to represent individual data values.
B
A is used for qualitative data, while an is used for quantitative data.
C
A displays the frequencies of class intervals using line segments connected at class midpoints, while an displays cumulative frequencies using points plotted at upper class boundaries.
D
A shows cumulative relative frequencies, while an shows only raw frequencies.
Verified step by step guidance1
Step 1: Understand what a frequency polygon is. A frequency polygon is a graphical representation of the distribution of a dataset. It is created by plotting points at the midpoints of each class interval on the x-axis and their corresponding frequencies on the y-axis, then connecting these points with straight line segments.
Step 2: Understand what an ogive is. An ogive is a graph that represents cumulative frequencies. It is constructed by plotting points at the upper class boundaries on the x-axis and the cumulative frequencies on the y-axis, then connecting these points with line segments.
Step 3: Compare the two graphs based on what they represent. A frequency polygon shows the frequency of each class interval individually, while an ogive shows the accumulation of frequencies up to a certain class boundary.
Step 4: Note the key differences in plotting. Frequency polygons use class midpoints for the x-axis values and plot frequencies, whereas ogives use upper class boundaries for the x-axis values and plot cumulative frequencies.
Step 5: Conclude that the correct description is that a frequency polygon displays frequencies of class intervals connected at class midpoints, and an ogive displays cumulative frequencies plotted at upper class boundaries.
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