Which of the following traits do histograms, Pareto charts, and scatter plots have in common?
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: Proportion2h 10m
- 9. Hypothesis Testing for One Sample5h 6m
- Steps in Hypothesis Testing1h 6m
- Performing Hypothesis Tests: Means1h 4m
- Hypothesis Testing: Means - Excel42m
- Performing Hypothesis Tests: Proportions37m
- Hypothesis Testing: Proportions - Excel27m
- Performing Hypothesis Tests: Variance12m
- Critical Values and Rejection Regions28m
- Link Between Confidence Intervals and Hypothesis Testing12m
- Type I & Type II Errors15m
- 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. Regression3h 33m
- Linear Regression & Least Squares Method26m
- Residuals12m
- Coefficient of Determination12m
- Regression Line Equation and Coefficient of Determination - Excel8m
- Finding Residuals and Creating Residual Plots - Excel11m
- Inferences for Slope31m
- Enabling Data Analysis Toolpak1m
- Regression Readout of the Data Analysis Toolpak - Excel21m
- Prediction Intervals13m
- Prediction Intervals - Excel19m
- Multiple Regression - Excel29m
- Quadratic Regression15m
- Quadratic Regression - Excel10m
- 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
Given the following frequency histogram that displays the final grades of a random sample of college students, which of the following statements is most likely true about the distribution of the grades?
A
The distribution is approximately symmetric, with most students scoring near the middle grade range.
B
The distribution is bimodal, with two distinct peaks in the grade frequencies.
C
The distribution is skewed to the right, indicating that most students received lower grades and fewer received higher grades.
D
The distribution is skewed to the left, indicating that most students received higher grades and fewer received lower grades.
Verified step by step guidance1
Step 1: Understand the key terms related to distribution shapes. A distribution is symmetric if it looks roughly the same on both sides of the center. It is bimodal if there are two distinct peaks or modes. Skewness refers to the direction in which the tail of the distribution extends: skewed right means a longer tail on the right (higher values), skewed left means a longer tail on the left (lower values).
Step 2: Analyze the frequency histogram by observing where the majority of the data points (grades) are concentrated. If most students have higher grades and fewer have lower grades, the bulk of the data will be on the right side of the histogram, with a tail extending to the left.
Step 3: Identify the shape of the distribution based on the histogram. If the tail extends to the left and the peak is towards the higher grades, this indicates a left-skewed distribution.
Step 4: Compare the options given with your observations. Since the histogram shows most students scoring higher grades and fewer scoring lower grades, the distribution is skewed to the left.
Step 5: Conclude that the correct statement is the one describing a left-skewed distribution, meaning most students received higher grades and fewer received lower grades.
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