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use the data to answer the following questions. 1-Describe the distribution of credit card debt separated by gender Make an appropriate graph and provide appropriate

use the data to answer the following questions.

1-Describe the distribution of credit card debt separated by gender

  • Make an appropriate graph and provide appropriate numerical summaries in table form.
  • Describe the shape, center, and spread using numerical measures that best describe the distribution.
  • In your description, include an interval of typical values and a discussion of variability.
  • Embed your StatCrunch graph and any tables with summary statistics in your response.
  1. Do the data suggest that males or females are more likely to have higher credit card debt?
  • Use the data to support your answer.

image text in transcribedimage text in transcribed
Calibri 11 A A E = ab Wrap Text AY O 4 Paste = Merge & Center $ ~ % " .00 Conditional Format as Cell Insert Delete Format Sort & Find & Ideas Formatting * Table Styles Filter ~ Select Clipboard Font Alignment Number Styles Cells Editing Ideas i SUBSCRIPTION EXPIRED Most of the features of Excel have been disabled. Reactivate i POSSIBLE DATA LOSS Some features might be lost if you save this workbook in the comma-delimited (.csv) format. To preserve these features, save it in an Excel file format. Don't show again Save As... A1 X V Gender A E C D E F G H J K L M N 0 P Q R S T U W X Y Z AA AB AC Gender Class Hours Work Loans CC Deb 2 Female 4 15 7763 3 Female 18 3010 1177 4 Female 15 1394 5 Male 12 24 15555 2643 6 Female 4 40.5 1623 0 7 Female 18 0 12867 5032 8 Male 15 17.5 11543 4253 9 Female 14 0 0 2747 10 Female 4 43.5 16141 6994 11 0 0 1371 12 Male 2 17 6496 352 13 Female 0 1261 14 Female 18 0 1187 15 Male 21 7.5 6925 2917 16 Female 15 0 3506 17 Female 17 0 2873 18 Male 12 0 11868 6300 19 Male 19 9.5 10137 5040 20 Male 0 3900 1600 21 Male 12 0 7325 4191 22 Male 9473 23 Female 12 1364 0 0 24 Male 9 3930 25 Female 3 42 16551 6422 26 Male 20 7979 3178 27 Male 12 O 3663 28 Female 1917 29 Female 16 5 48RR 1249 StatCrunch_U_Survey_results (1 + E Ready - + 70% O Type here to search 9:36 PM ST X ARO 5/26/2021Calibri - 11 a Wrap Text Ex AY O Paste BIU~ E : Merge & Center $ ~ % " .00 Conditional Format as Cell Insert Delete Format Sort & Find & Ideas Formatting * Table Styles Filter ~ Select Clipboard Font Alignment Number Styles Cells Editing Ideas i SUBSCRIPTION EXPIRED Most of the features of Excel have been disabled. Reactivate X i POSSIBLE DATA LOSS Some features might be lost if you save this workbook in the comma-delimited (.csv) format. To preserve these features, save it in an Excel file format. Don't show again Save As... X A1 X Gender A B E F G H J K L M N 0 P Q R S T U V W X Y Z AA AB AC C 24 Male 0 3930 25 Female 3 42 16551 6422 26 Male 20 7979 317 27 Male 16 12 0 3663 28 Female 16 0 0 1917 29 Female 15 16.5 4886 1249 30 Male 3 31.5 14909 10527 31 Male 17 10852 5302 32 Female 17 0 33 Female 9 24.5 13018 2279 34 Male 20 0 495 1605 35 Female 12 0 0 0 36 Male 15 0 5846 1907 37 Female 14 21.5 14287 2563 38 Female 12 0 1344 39 Male 20 0 3403 40 Female 15 2504 41 Female 16 17.5 1197 42 Female 15 0 6900 43 Male 16 O 3778 44 Male 13 0 1638 45 Female 15 18.5 6514 1050 46 Female 4 35 16561 2683 47 Female 16 0 16020 220 48 Male 22 2187 1465 49 Female 0 0 6997 50 Female 0 1189 2712 51 Female 13 3846 0 52 StatCrunch_U_Survey_results (1 + Ready - - + 70% 9:42 PM O Type here to search X ARO 5/26/2021

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