If a histogram has most of its data concentrated in a few bins with very little data in the other bins, what can be concluded about the of the histogram?
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
Histograms
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 the best way to describe the data shown in a histogram?
A
Only mention the tallest bar in the histogram.
B
Describe the data by calculating the sum of all frequencies.
C
List the exact values of every data point in the dataset.
D
Discuss the shape, center, spread, and any outliers or gaps in the data.
Verified step by step guidance1
Understand that a histogram is a graphical representation of data distribution, showing frequencies of data within intervals (bins).
Recognize that describing data from a histogram involves summarizing key characteristics rather than focusing on a single bar or listing all data points.
Identify the shape of the distribution (e.g., symmetric, skewed, uniform, or bimodal) by observing the pattern of the bars.
Determine the center of the data, which can be estimated by locating where the middle values lie, often near the tallest bars or the balance point of the histogram.
Assess the spread by noting the range covered by the bars and look for any outliers or gaps where bars are missing or unusually low, indicating unusual data points or intervals.
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