9. From the data set above a sample of 15 students fall into each category. Is there a difference in credit card debt amongst the groups? Use ANOVA. From Urban HS From Rural HS From Private HS 6,426 9,333 2,221 10,000 7,450 5,444 9,700 3,988 6,003 5,500 8,050 11,993 11,216 14,322 1,920

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Stats #9
9. From the data set above a sample of 15 students fall into
each category. Is there a difference in credit card debt
amongst the groups? Use ANOVA.
From Urban HS From Rural HS From Private HS
6,426
9,333
2,221
10,000
7,450
5,444
9,700
3,988
6,003
5,500
8,050
11,993
11,216
14,322
1,920
Transcribed Image Text:9. From the data set above a sample of 15 students fall into each category. Is there a difference in credit card debt amongst the groups? Use ANOVA. From Urban HS From Rural HS From Private HS 6,426 9,333 2,221 10,000 7,450 5,444 9,700 3,988 6,003 5,500 8,050 11,993 11,216 14,322 1,920
The sample data represents the total credit card debt of second
year college students randomly selected. This sample is to study
the population of all second year college students going to a
University in Baltimore.
9,333 6,426 2,221 8,834 9,265
7,450 10,000 6,724 11,086 17,996
3,988 9,700 10,077 1,000 11,993
8,050 5,500 14,322 7,731 5,444
1,920 11,216 12,644 9,038 6,003
Transcribed Image Text:The sample data represents the total credit card debt of second year college students randomly selected. This sample is to study the population of all second year college students going to a University in Baltimore. 9,333 6,426 2,221 8,834 9,265 7,450 10,000 6,724 11,086 17,996 3,988 9,700 10,077 1,000 11,993 8,050 5,500 14,322 7,731 5,444 1,920 11,216 12,644 9,038 6,003
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