SECOND OPTION 1. What is the data value associated with a z-score of -2.1? 2. What is the data value associated with 1.24? 3. What is the data value associated with 0.17? 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 90% 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)?
SECOND OPTION 1. What is the data value associated with a z-score of -2.1? 2. What is the data value associated with 1.24? 3. What is the data value associated with 0.17? 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 90% 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)?
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.3: Measures Of Spread
Problem 11PPS
Related questions
Question
2nd option - answer the weight column
answer 1 to 10
![SECOND OPTION
1. What is the data value associated with a z-score of -2.1?
2. What is the data value associated with 1.24?
3. What is the data value associated with 0.17?
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 90% of the data would be with the mean?
8. Are there any outiers 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)?](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F307ee6f1-8ea5-4220-9278-651115cf6ed1%2F62696dc9-fb64-415a-aefa-98726ff115e6%2F7twecdh_processed.png&w=3840&q=75)
Transcribed Image Text:SECOND OPTION
1. What is the data value associated with a z-score of -2.1?
2. What is the data value associated with 1.24?
3. What is the data value associated with 0.17?
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 90% of the data would be with the mean?
8. Are there any outiers 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](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F307ee6f1-8ea5-4220-9278-651115cf6ed1%2F62696dc9-fb64-415a-aefa-98726ff115e6%2Fxt2x0sk_processed.png&w=3840&q=75)
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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