The boxplots and five-number summaries apply to the data sets of two different age classes. Match the appropriate descriptions to the data sets. Please make sure to divide them in to 2 different separate sections . Answer Bank25% of the values are less than 21.3025% of the values are more than 20.6020 22 24 26 28 3032 34 3625% of values are less than 26.40Adults who were obese in 2013 (%)25% of values are less than 13.42MinQ1 Median Q3 Max25% of the values are more than 15.8221.30 26.40 29.40 31.08 35.10the distribution is skewed to the left25% of the values are less than 8.7025% of the values are more than 31.08101214 16 18 202225% of the values are more than 35.10Children who were obese in 2012 (%)the distributionskewed to the rightMinQ1dian Q38.7013.42 14.65 15.82 20.60the distribution is close to symmetrical The boxplots and five-number summaries apply to the data sets of two different age classes. Match the appropriatedescriptions to the data sets.Answer Bank25% of the valucs are less than 21.3025% of the values are more than 20.6020 22 24 26 28 30 32 34 3625% of values are less than 26.40Adults who were obese in 2013 (%)25% of values are less than 13.42MinQ1 Median Q3 Max25% of the values are more than 15.8221.30 26.40 29.40 31.08 35.10the distributionskewed to the left25% of the values are less than 8.7025% of the values are more than 31.0810 12 14 16 18 20 2225% of the values are more than 35.10Children who were obese in 2012 (%)the distribution is skewed to the rightMinQ1 Median Q3 Max8.7013.42 14.65 15.82 20.60

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Description: The boxplots and five-number summaries apply to the data sets of two different age classes. Match the appropriate descriptions to the data sets. Please make sure to divide them in to 2 different separate sections . Answer Bank25% of the values are

It is given that the two boxplots and their corresponding five-number summaries.

Math

Statistics

The boxplots and five-number summarics apply to the data scts of two different age classes. Match the appropriate descriptions to the data sets. Answer Bank 25% of the values are less than 21.30 25% of the values are more than 20.60 20 22 24 26 28 30 32 34 36 25% of values are less than 26.40 Adults who were obese in 2013 (%) 25% of values are less than 13.42 Min Q1 Median Q3 Max 25% of the values are more than 15.82 21.30 26.40 29.40 31.08 35.10 the distribution is skewed to the left 25% of the values are less than 8.70 25% of the values are more than 31.08 10 12 14 16 18 20 22 25% of the values are more than 35.10 Children who were obese in 2012 (%) the distribution is skewed to the right Min Q1 Median Q3 Max 8.70 13.42 14.65 15.82 20.60

The boxplots and five-number summarics apply to the data scts of two different age classes. Match the appropriate descriptions to the data sets. Answer Bank 25% of the values are less than 21.30 25% of the values are more than 20.60 20 22 24 26 28 30 32 34 36 25% of values are less than 26.40 Adults who were obese in 2013 (%) 25% of values are less than 13.42 Min Q1 Median Q3 Max 25% of the values are more than 15.82 21.30 26.40 29.40 31.08 35.10 the distribution is skewed to the left 25% of the values are less than 8.70 25% of the values are more than 31.08 10 12 14 16 18 20 22 25% of the values are more than 35.10 Children who were obese in 2012 (%) the distribution is skewed to the right Min Q1 Median Q3 Max 8.70 13.42 14.65 15.82 20.60

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.5: Comparing Sets Of Data

Problem 26PFA

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Concept explainers

Inverse Normal Distribution

The method used for finding the corresponding z-critical value in a normal distribution using the known probability is said to be an inverse normal distribution. The inverse normal distribution is a continuous probability distribution with a family of two parameters.

Mean, Median, Mode

It is a descriptive summary of a data set. It can be defined by using some of the measures. The central tendencies do not provide information regarding individual data from the dataset. However, they give a summary of the data set. The central tendency or measure of central tendency is a central or typical value for a probability distribution.

Z-Scores

A z-score is a unit of measurement used in statistics to describe the position of a raw score in terms of its distance from the mean, measured with reference to standard deviation from the mean. Z-scores are useful in statistics because they allow comparison between two scores that belong to different normal distributions.

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Question

The boxplots and five-number summaries apply to the data sets of two different age classes. Match the appropriate descriptions to the data sets. Please make sure to divide them in to 2 different separate sections .

Answer Bank
25% of the values are less than 21.30
25% of the values are more than 20.60
20 22 24 26 28 30
32 34 36
25% of values are less than 26.40
Adults who were obese in 2013 (%)
25% of values are less than 13.42
Min
Q1 Median Q3 Max
25% of the values are more than 15.82
21.30 26.40 29.40 31.08 35.10
the distribution is skewed to the left
25% of the values are less than 8.70
25% of the values are more than 31.08
10
12
14 16 18 20
22
25% of the values are more than 35.10
Children who were obese in 2012 (%)
the distribution
skewed to the right
Min
Q1
dian Q3
8.70
13.42 14.65 15.82 20.60
the distribution is close to symmetrical

The boxplots and five-number summaries apply to the data sets of two different age classes. Match the appropriate
descriptions to the data sets.
Answer Bank
25% of the valucs are less than 21.30
25% of the values are more than 20.60
20 22 24 26 28 30 32 34 36
25% of values are less than 26.40
Adults who were obese in 2013 (%)
25% of values are less than 13.42
Min
Q1 Median Q3 Max
25% of the values are more than 15.82
21.30 26.40 29.40 31.08 35.10
the distribution
skewed to the left
25% of the values are less than 8.70
25% of the values are more than 31.08
10 12 14 16 18 20 22
25% of the values are more than 35.10
Children who were obese in 2012 (%)
the distribution is skewed to the right
Min
Q1 Median Q3 Max
8.70
13.42 14.65 15.82 20.60

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