Reported and Measured Heights Listed below are self-reported heights of males aged 16 and over and their corresponding measured heights (based on data from the National Health and Nutrition Examination Survey). All heights are in inches. First find the differences (reported height–measured height), and then use those differences to find the (h) Q1, (i) Q3
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
Median
Problem 2.3.34
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.
Prices (in dollars) of Flights from Chicago to Alanta

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Step 1: Extract the data points from the graph. Each dot represents a flight price. Count the number of dots at each price level to determine the frequency of each price. For example, if there are 4 dots at \$180, the frequency of \$180 is 4.
Step 2: Calculate the mean (average) price. To do this, multiply each price by its frequency, sum these products, and then divide by the total number of data points. The formula is: , where x is the price, f is the frequency, and n is the total number of data points.
Step 3: Find the median price. Arrange all the data points in ascending order (if not already arranged). The median is the middle value if the total number of data points is odd, or the average of the two middle values if the total number of data points is even.
Step 4: Determine the mode of the data. The mode is the price that appears most frequently in the dataset. Identify the price with the highest frequency.
Step 5: Interpret the results. Discuss whether the mean, median, and mode are good measures of the center for this dataset. Consider factors such as the distribution of the data (e.g., skewness) and whether any outliers might affect the mean.
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Key Concepts
Here are the essential concepts you must grasp in order to answer the question correctly.
Mean
The mean, or average, is calculated by summing all the values in a dataset and dividing by the number of values. It provides a central value that represents the overall dataset but can be influenced by extreme values (outliers). In the context of flight prices, the mean gives an idea of the typical cost of a flight, but may not reflect the most common price if there are significant outliers.
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Median
The median is the middle value of a dataset when it is ordered from least to greatest. If there is an even number of observations, the median is the average of the two middle values. This measure is particularly useful for skewed distributions, as it is less affected by outliers than the mean. In the flight prices example, the median will indicate the price at which half of the flights are cheaper and half are more expensive.
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Mode
The mode is the value that appears most frequently in a dataset. It is a useful measure for understanding the most common price in a set of flight prices. In cases where there are multiple modes (bimodal or multimodal distributions), it can indicate a range of popular prices. In the given data, identifying the mode helps to understand which flight price is most prevalent among the options available.
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