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recognize a histogram is useful in representing large data sets; identify the shape of a distribution of data represented in a histogram as skewed, symmetric, mound shaped, bimodal, or uniform, and identify characteristics of the distribution such as gaps, clusters, and outlying points;
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Intro to Histograms
Think about the shape of a histogram for a data set as an indication of the shape of the distribution of that variable. Example: “Mound-shaped” distributions: (roughly symmetric, peak in middle) Special rule that applies to data having a mound-shaped distribution: Empirical Rule: For data having a mound-shaped distribution,
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[DOC File]Chapter 3
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Shape-both are mound-shaped although rebounding appears to be skewed right. Center-Rebounding has a higher center (mean = 10.9, median = 10.7) than assists (mean = 7.815, median = 7.65); the cluster for rebounding is above the cluster for assists. Spread-the standard deviations are similar (1.568 for rebounding and 1.472 for assists).
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[DOC File]Topic of 5:
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a) Bell/Mound-shaped. b) Skewed to the left. c) Skewed to the right. d) Uniform. 2. Where is the center of this graph? a) Around 105. b) Around 135. c) Around 155. d) Around 165. 3. Does this graph have any outliers? a) Yes, 94 is an outlier. b) Yes, 165 is an outlier. c) No, the numbers are too close together. d) No, N is too small to have ...
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[DOC File]Empirical and Chebyshev’s Rule Review
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If distribution is normal, histogram of residuals will be mound-shaped, around 0. F-test for the Overall Model (Sec. 12-3) Used to test whether any of the independent variables are linearly associated with Y. Analysis of Variance. Total Sum of Squares and …
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[DOC File]Numerical Measures of Central Tendency
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The first histogram is mound shaped with the data mostly in the middle. The data in the second histogram is more evenly spread out. The spread in the third distribution is less than that of the second. Students are to sketch the density curve for each distribution on the worksheet. You may need to show them an example.
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[DOC File]AP Statistics
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Refer back to activity 3-8, which reported scores on a mathematics placement exam. The mean score on this exam is . The standard deviation of the exam scores is . The frequency of each score and a histogram of this distribution follow. Does this distribution appear to be roughly symmetric and mound-shaped?
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Activity overview: - Texas Instruments
mound shaped. and symmetric. histogram, what proportion of the observations will be . less than 60 and more. than 69 inch? 3. Solar energy is considered by many to be the energy of the future. A recent survey was taken to compare the cost of solar energy to the cost of gas or electric energy. Results of the survey revealed that the distribution ...
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[DOC File]Sample Test Questions -- Test 1 - University of Florida
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z = 1.0 and 2.0; GPA = 3.2 and 3.7; mound-shaped, symmetric. 2.124 Suppose a data set consisting of exam scores has a lower quartile QL = 60, a median M = 75, and an upper quartile QU = 85. The scores on the exam range from 18 to 100. Without having the actual scores available to you, construct as much of the box pot as possible. Solution
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[DOC File]Chapter 11 – Simple linear regression
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Suppose you have a set of data which has a mound-shaped histogram. Compare the inter-quartile range with the range from one standard deviation below the mean to one standard deviation above the mean. The inter-quartile range is larger. ANSWER: T. In a positively skewed distribution, the mode is greater than the median. ANSWER: F
how to interpret a histogram

Mound shaped histogram