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The square root of the variance Observations that appear extreme relative to the rest of the data. Measure of location which divide a set of data into 100 bins with about 1% of the values in each bin. When the histogram of a data set trails off to the left so that the histogram has a longer left tail. The observation or bin with the highest frequency. Outlines of the histograms of multiple groups put on the same plot. The value in the middle, or the average of the two values in the middle if data are ordered from smallest to largest. The 50th percentile. The sum of the observed values divided by the number of observations. The length of the box in a boxplot, calculated as the difference between the third and first quartile. When the histogram of a data set trails off to the right so that the histogram has a longer right tail. A visualization technique suitable for contingency tables that resembles a stacked bar graph with the benefit that we still see the relative group sizes of the primary variables as well. A graph that provides a case-by-case view of data for two numerical variables. A graph consisting of bars of equal width drawn adjacent to each other (unless there are gaps in the data). The horizontal scale represents bins of numerical data values, and the vertical scale represents frequencies. The 25th, 50th and 75th percentiles. The average squared distance from the mean. A one variable scatterplot. Statistics that extreme observations have little effect on. a. Median b. Dot plot c. Quartile d. Right skewed e. Outlier f. Mode g. Hollow histogram h. Interquartile range (IQR) i. Scatterplot j. Standard deviation k. Robust statistic I. Mosaic plot m. Left skewed n. Mean o. Variance p. Histogram q. Percentile

The square root of the variance Observations that appear extreme relative to the rest of the data. Measure of location which divide a set of data into 100 bins with about 1% of the values in each bin. When the histogram of a data set trails off to the left so that the histogram has a longer left tail. The observation or bin with the highest frequency. Outlines of the histograms of multiple groups put on the same plot. The value in the middle, or the average of the two values in the middle if data are ordered from smallest to largest. The 50th percentile. The sum of the observed values divided by the number of observations. The length of the box in a boxplot, calculated as the difference between the third and first quartile. When the histogram of a data set trails off to the right so that the histogram has a longer right tail. A visualization technique suitable for contingency tables that resembles a stacked bar graph with the benefit that we still see the relative group sizes of the primary variables as well. A graph that provides a case-by-case view of data for two numerical variables. A graph consisting of bars of equal width drawn adjacent to each other (unless there are gaps in the data). The horizontal scale represents bins of numerical data values, and the vertical scale represents frequencies. The 25th, 50th and 75th percentiles. The average squared distance from the mean. A one variable scatterplot. Statistics that extreme observations have little effect on. a. Median b. Dot plot c. Quartile d. Right skewed e. Outlier f. Mode g. Hollow histogram h. Interquartile range (IQR) i. Scatterplot j. Standard deviation k. Robust statistic I. Mosaic plot m. Left skewed n. Mean o. Variance p. Histogram q. Percentile

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.4: Distributions Of Data
Problem 4CYU
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The square root of the variance Observations that appear extreme relative to the rest of the data. Measure of location which divide a set of data into 100 bins with about 1% of the values in each bin. When the histogram of a data set trails off to the left so that the histogram has a longer left tail. The observation or bin with the highest frequency. Outlines of the histograms of multiple groups put on the same plot. The value in the middle, or the average of the two values in the middle if data are ordered from smallest to largest. The 50th percentile. The sum of the observed values divided by the number of observations. The length of the box in a boxplot, calculated as the difference between the third and first quartile. When the histogram of a data set trails off to the right so that the histogram has a longer right tail. A visualization technique suitable for contingency tables that resembles a stacked bar graph with the benefit that we still see the relative group sizes of the primary variables as well. A graph that provides a case-by-case view of data for two numerical variables. A graph consisting of bars of equal width drawn adjacent to each other (unless there are gaps in the data). The horizontal scale represents bins of numerical data values, and the vertical scale represents frequencies. The 25th, 50th and 75th percentiles. The average squared distance from the mean. A one variable scatterplot. Statistics that extreme observations have little effect on. a. Median b. Dot plot c. Quartile d. Right skewed e. Outlier f. Mode g. Hollow histogram h. Interquartile range (IQR) i. Scatterplot j. Standard deviation k. Robust statistic I. Mosaic plot m. Left skewed n. Mean o. Variance p. Histogram q. Percentile
Transcribed Image Text:The square root of the variance Observations that appear extreme relative to the rest of the data. Measure of location which divide a set of data into 100 bins with about 1% of the values in each bin. When the histogram of a data set trails off to the left so that the histogram has a longer left tail. The observation or bin with the highest frequency. Outlines of the histograms of multiple groups put on the same plot. The value in the middle, or the average of the two values in the middle if data are ordered from smallest to largest. The 50th percentile. The sum of the observed values divided by the number of observations. The length of the box in a boxplot, calculated as the difference between the third and first quartile. When the histogram of a data set trails off to the right so that the histogram has a longer right tail. A visualization technique suitable for contingency tables that resembles a stacked bar graph with the benefit that we still see the relative group sizes of the primary variables as well. A graph that provides a case-by-case view of data for two numerical variables. A graph consisting of bars of equal width drawn adjacent to each other (unless there are gaps in the data). The horizontal scale represents bins of numerical data values, and the vertical scale represents frequencies. The 25th, 50th and 75th percentiles. The average squared distance from the mean. A one variable scatterplot. Statistics that extreme observations have little effect on. a. Median b. Dot plot c. Quartile d. Right skewed e. Outlier f. Mode g. Hollow histogram h. Interquartile range (IQR) i. Scatterplot j. Standard deviation k. Robust statistic I. Mosaic plot m. Left skewed n. Mean o. Variance p. Histogram q. Percentile
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