Find the mode of the data in the table below. Is the data unimodal, bimodal, or multimodal?
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
3. Describing Data Numerically
Mode
Problem 2.3.19
Textbook Question
Using and Interpreting Concepts
Finding and Discussing the Mean, Median, and Mode In Exercises 17–34, find the mean, the median, and the mode of the data, if possible. If any measure cannot be found or does not represent the center of the data, explain why.
Video Durations The lengths (in minutes) of seven educational videos from the Public Broadcasting Service (PBS) (Source: PBS)
83 67 90 55 56 119 52
Verified step by step guidance1
Step 1: Organize the data in ascending order. The given data is: 83, 67, 90, 55, 56, 119, 52. Arrange it as: 52, 55, 56, 67, 83, 90, 119.
Step 2: Calculate the mean. The mean is the sum of all data points divided by the number of data points. Use the formula: , where is the sum of the data points and is the number of data points.
Step 3: Find the median. The median is the middle value when the data is ordered. Since there are 7 data points (an odd number), the median is the 4th value in the ordered list: 52, 55, 56, 67, 83, 90, 119.
Step 4: Determine the mode. The mode is the value that appears most frequently in the data set. Check the ordered data: 52, 55, 56, 67, 83, 90, 119. If no value repeats, then the mode does not exist.
Step 5: Interpret the results. Discuss whether the mean, median, or mode best represents the center of the data. Consider factors such as the presence of outliers (e.g., 119) and whether the data is skewed.
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Key Concepts
Here are the essential concepts you must grasp in order to answer the question correctly.
Mean
The mean, often referred to as the average, is calculated by summing all the values in a dataset and then dividing by the number of values. It provides a central value that represents the dataset as a whole. However, the mean can be sensitive to extreme values (outliers), which may skew the result and not accurately reflect the center of the data.
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Median
The median is the middle value of a dataset when the values are arranged in ascending or descending order. If there is an even number of observations, the median is the average of the two middle numbers. The median is particularly useful for understanding the center of a dataset that may contain outliers, as it is not affected by extreme values.
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Mode
The mode is the value that appears most frequently in a dataset. A dataset may have one mode (unimodal), more than one mode (bimodal or multimodal), or no mode at all if all values occur with the same frequency. The mode is useful for identifying the most common value in a dataset, but it may not always provide a clear representation of the center, especially in continuous data.
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