The following data set shows the number of overtime hours that 12 employees worked in a month. Construct a frequency distribution, using a lower class limit of 3 and a class width of 4.
Table of contents
- 1. Introduction to Statistics53m
- 2. Describing Data with Tables and Graphs2h 2m
- 3. Describing Data Numerically2h 8m
- 4. Probability2h 26m
- 5. Binomial Distribution & Discrete Random Variables3h 28m
- 6. Normal Distribution & Continuous Random Variables2h 21m
- 7. Sampling Distributions & Confidence Intervals: Mean3h 37m
- Sampling Distribution of the Sample Mean and Central Limit Theorem19m
- Distribution of Sample Mean - ExcelBonus23m
- Introduction to Confidence Intervals22m
- Confidence Intervals for Population Mean1h 26m
- Determining the Minimum Sample Size Required12m
- Finding Probabilities and T Critical Values - ExcelBonus28m
- Confidence Intervals for Population Means - ExcelBonus25m
- 8. Sampling Distributions & Confidence Intervals: Proportion2h 20m
- 9. Hypothesis Testing for One Sample5h 15m
- Steps in Hypothesis Testing1h 13m
- Performing Hypothesis Tests: Means1h 1m
- Hypothesis Testing: Means - ExcelBonus42m
- Performing Hypothesis Tests: Proportions39m
- Hypothesis Testing: Proportions - ExcelBonus27m
- Performing Hypothesis Tests: Variance12m
- Critical Values and Rejection Regions29m
- Link Between Confidence Intervals and Hypothesis Testing12m
- Type I & Type II Errors16m
- 10. Hypothesis Testing for Two Samples5h 35m
- Two Proportions1h 12m
- Two Proportions Hypothesis Test - ExcelBonus28m
- Two Means - Unknown, Unequal Variance1h 2m
- Two Means - Unknown Variances Hypothesis Test - ExcelBonus12m
- Two Means - Unknown, Equal Variance15m
- Two Means - Unknown, Equal Variances Hypothesis Test - ExcelBonus9m
- Two Means - Known Variance12m
- Two Means - Sigma Known Hypothesis Test - ExcelBonus21m
- Two Means - Matched Pairs (Dependent Samples)42m
- Matched Pairs Hypothesis Test - ExcelBonus12m
- Two Variances and F Distribution29m
- Two Variances - Graphing CalculatorBonus15m
- 11. Correlation1h 24m
- 12. Regression3h 42m
- Linear Regression & Least Squares Method26m
- Residuals12m
- Coefficient of Determination12m
- Regression Line Equation and Coefficient of Determination - ExcelBonus8m
- Finding Residuals and Creating Residual Plots - ExcelBonus11m
- Inferences for Slope32m
- Enabling Data Analysis ToolpakBonus1m
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- Prediction Intervals13m
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- Multiple Regression - ExcelBonus29m
- Quadratic Regression23m
- Quadratic Regression - ExcelBonus10m
- 13. Chi-Square Tests & Goodness of Fit2h 31m
- 14. ANOVA2h 32m
2. Describing Data with Tables and Graphs
Frequency Distributions
Multiple Choice
An economist is analyzing the monthly unemployment rates (as a %) across different cities. The lowest was 16% and the highest was 71%. Without constructing a table, find the class width if this data is divided into 7 classes. Then write the lower and upper class limits for each class.
A
Class width = 7; lower class limits = 16, 23, 30, 37, 44, 51, 58, 65; Upper class limits = 24, 32, 40, 48, 56, 64, 72
B
Class width = 7; lower class limits = 16, 24, 32, 40, 48, 56, 64; Upper class limits = 24, 32, 40, 48, 56, 64, 72
C
Class width = 8; lower class limits = 16, 24, 32, 40, 48, 56, 64; Upper class limits = 23, 31, 39, 47, 55, 63, 71
D
Class width = 8; lower class limits = 16, 24, 32, 40, 48, 56, 64; Upper class limits = 24, 32, 40, 48, 56, 64, 72
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Verified step by step guidance1
Identify the range of the data by subtracting the lowest value from the highest value: Range = 71% - 16%.
Determine the class width by dividing the range by the number of classes. Use the formula: Class Width = (Range) / (Number of Classes).
Round up the class width to the nearest whole number if necessary, as class width should be a whole number.
Calculate the lower class limits by starting with the lowest value (16%) and adding the class width successively.
Calculate the upper class limits by subtracting 1 from the next lower class limit or adding the class width to each lower class limit and subtracting 1.
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