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FIRST OPTION 1. What is the data value associated with a z-score of 2? 2. What is the data value associated with -0.57? 3. What is the data value associated with -0.7? What is the mean of this data set?

FIRST OPTION 1. What is the data value associated with a z-score of 2? 2. What is the data value associated with -0.57? 3. What is the data value associated with -0.7? What is the mean of this data set?

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 3GP
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I. answer 1 to 10.

 

IV. Guide Questions FIRST OPTION 1. What is the data value associated with az-score of 2? 2. What is the data value associated with -0.57? 3. What is the data value associated with -0.7? 4. What is the mean of this data set? 5. What is the standard deviation of this data set? 6. What is the variance of this data set? 7. What is the range of data values so that 95% of the data would be with the mean? 8. Are there any outliers with this data set? (Outliers refer to data points that lie beyond three standard deviation from the mean) 9. Why does not 100% of the data will always fall within three standard deviations of the mean? 10. What can you infer to the graph of your data (in general)?
Transcribed Image Text:IV. Guide Questions FIRST OPTION 1. What is the data value associated with az-score of 2? 2. What is the data value associated with -0.57? 3. What is the data value associated with -0.7? 4. What is the mean of this data set? 5. What is the standard deviation of this data set? 6. What is the variance of this data set? 7. What is the range of data values so that 95% of the data would be with the mean? 8. Are there any outliers with this data set? (Outliers refer to data points that lie beyond three standard deviation from the mean) 9. Why does not 100% of the data will always fall within three standard deviations of the mean? 10. What can you infer to the graph of your data (in general)?
NAME AGE (1) WEIGHT (2) HEIGHT (3) GAME ANGELINE 17 49 5°4 CODM SOPHIA 16 61 5'2 CODM SHANNE 17 69 5'3 CODM LUCILLE 18 53 5'2 CODM EMILIA 16 55 5'5 CODM JOCELYN 17 55 4'11 CODM MARGARETTE 16 54 5'5 NONE FLORDELISA 16 50 5'1 ML FRANCESCA 17 44 5'3 NONE JEANE 17 50 5'3 CODM BIANCA 17 49 5'3 NONE SOFIA 17 49 5'1 NONE BEATRICE 16 53 5'2 ΝONE REGINA 16 54 5'1 CODM ISABELLA 16 67 5'6 NONE JASMINE 17 50 5'2 ΝΟNE SANDRA 16 58 5'6 CODM YSSHE 16 60 5'5 ML SHEBA 17 55 5'1 NONE CHARLENE 16 45 4'10 CODM
Transcribed Image Text:NAME AGE (1) WEIGHT (2) HEIGHT (3) GAME ANGELINE 17 49 5°4 CODM SOPHIA 16 61 5'2 CODM SHANNE 17 69 5'3 CODM LUCILLE 18 53 5'2 CODM EMILIA 16 55 5'5 CODM JOCELYN 17 55 4'11 CODM MARGARETTE 16 54 5'5 NONE FLORDELISA 16 50 5'1 ML FRANCESCA 17 44 5'3 NONE JEANE 17 50 5'3 CODM BIANCA 17 49 5'3 NONE SOFIA 17 49 5'1 NONE BEATRICE 16 53 5'2 ΝONE REGINA 16 54 5'1 CODM ISABELLA 16 67 5'6 NONE JASMINE 17 50 5'2 ΝΟNE SANDRA 16 58 5'6 CODM YSSHE 16 60 5'5 ML SHEBA 17 55 5'1 NONE CHARLENE 16 45 4'10 CODM
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