What is the median of the data set containing only the value ?
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 3.1.8
Textbook Question
Critical Thinking. For Exercises 5–20, watch out for these little buggers. Each of these exercises involves some feature that is somewhat tricky. Find the (a) mean, (b) median, (c) mode, (d) midrange, and then answer the given question.
Geography Majors The data listed below are estimated incomes (dollars) of students who graduated from the University of North Carolina (UNC) after majoring in geography. The data are based on graduates in the year 1984. The income of basketball superstar Michael Jordan (a 1984 UNC graduate and geography major) is included. Does his income have much of an effect on the measures of center? Based on these data, would the college have been justified by saying that the mean income of a graduate in their geography program is greater than \$250,000?
17,466 18,085 17,875 19,339 19,682 19,610 18,259 16,354 2,200,000
Verified step by step guidance1
Step 1: Calculate the mean. The mean is the sum of all data values divided by the number of data values. Add all the incomes together, including Michael Jordan's income, and divide by the total number of data points (9 in this case). Use the formula: , where is the sum of all incomes and is the number of data points.
Step 2: Find the median. To find the median, first arrange the data in ascending order. The median is the middle value if the number of data points is odd, or the average of the two middle values if the number of data points is even. In this case, arrange the incomes and identify the middle value.
Step 3: Determine the mode. The mode is the value that appears most frequently in the dataset. Check if any income value is repeated, and if so, that value is the mode. If no value is repeated, the dataset has no mode.
Step 4: Calculate the midrange. The midrange is the average of the minimum and maximum values in the dataset. Use the formula: , where is the smallest income and is the largest income.
Step 5: Analyze the effect of Michael Jordan's income. Compare the mean, median, and midrange to assess how much Michael Jordan's income skews the measures of center. Consider whether the mean is significantly higher than the median and midrange, which would indicate that his income has a large effect. Then, evaluate whether the mean income justifies the claim that the average income is greater than \$250,000.
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Key Concepts
Here are the essential concepts you must grasp in order to answer the question correctly.
Measures of Central Tendency
Measures of central tendency, including mean, median, and mode, summarize a set of data by identifying the center point. The mean is the average of all values, the median is the middle value when data is ordered, and the mode is the most frequently occurring value. Understanding these measures is crucial for analyzing how data points, such as incomes, cluster around a central value.
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Outliers
Outliers are data points that significantly differ from other observations in a dataset. In this context, Michael Jordan's income of $2,200,000 is an outlier that can skew the mean, making it much higher than the incomes of other geography graduates. Recognizing outliers is essential for accurately interpreting statistical measures and understanding their impact on data analysis.
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Justification of Claims
Justifying claims about data, such as whether the mean income exceeds $250,000, requires careful analysis of the calculated measures of central tendency. This involves comparing the computed mean against the claim and considering the influence of outliers. A thorough justification ensures that conclusions drawn from the data are valid and supported by statistical evidence.
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