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different? What does this tell you about the shape of your data? 2. Calculate three measures of variability for the data. 3. Determine the lower and upper values that are 2 standard deviations from the meanType equation here. 4. Next, count the number of values from your data set that fall between these limits and express this count as a percent of the total sample size. Does this result support either Chebyshev's Theorem or the Empirical Rule -whichever applies for your data based on its shape Justify your response

different? What does this tell you about the shape of your data? 2. Calculate three measures of variability for the data. 3. Determine the lower and upper values that are 2 standard deviations from the meanType equation here. 4. Next, count the number of values from your data set that fall between these limits and express this count as a percent of the total sample size. Does this result support either Chebyshev's Theorem or the Empirical Rule -whichever applies for your data based on its shape Justify your response

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 22PFA
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Group Data Set Sample Size Sampling Technique
14 Temperature 40 Systemic
1. Calculate/determine the three measures of centre for the data. Are the measures the same or different? What does this tell you about the shape of your data? 2. Calculate three measures of variability for the data. 3. Determine the lower and upper values that are 2 standard deviations from the meanType equation here. 4. Next, count the number of values from your data set that fall between these limits and express this count as a percent of the total sample size. Does this result support either Chebyshev's Theorem or the Empirical Rule-whichever applies for your data based on its shape? Justify your response. Dot no the lower ondu or limits for identifying outliers for your data
Transcribed Image Text:1. Calculate/determine the three measures of centre for the data. Are the measures the same or different? What does this tell you about the shape of your data? 2. Calculate three measures of variability for the data. 3. Determine the lower and upper values that are 2 standard deviations from the meanType equation here. 4. Next, count the number of values from your data set that fall between these limits and express this count as a percent of the total sample size. Does this result support either Chebyshev's Theorem or the Empirical Rule-whichever applies for your data based on its shape? Justify your response. Dot no the lower ondu or limits for identifying outliers for your data
Using Systemic Sampling Technique Sample 1.8 2.0 2.1 2.3 2.5 2.8 2.9 3.1 3.1 3.2 3.3 3.4 3.5 3.5 3.6 3.7 3.8 3.9 3.9 4.1 4.1 4.2 4.3 4.3 4.4 4.5 4.5 4.6 4.7 4.7 4.8 4.9 5.0 5.1 5.3 5.5 5.7 5.8 6.0 6.2 40.0
Transcribed Image Text:Using Systemic Sampling Technique Sample 1.8 2.0 2.1 2.3 2.5 2.8 2.9 3.1 3.1 3.2 3.3 3.4 3.5 3.5 3.6 3.7 3.8 3.9 3.9 4.1 4.1 4.2 4.3 4.3 4.4 4.5 4.5 4.6 4.7 4.7 4.8 4.9 5.0 5.1 5.3 5.5 5.7 5.8 6.0 6.2 40.0
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