Model BuildingIntroductionIn data analytics, model building refers to assembling the needed data and analyzing it to address your identified problem.For this second course project assignment, you will

5/30/2020 Model Building Scoring Guide https://courseroomc.capella.edu/bbcswebdav/institution/HMSV/HMSV5316/191000/Scoring_Guides/u07a1_scoring_guide.html 1/1 Model Building Scoring Guide Due D ate : U nit 7 P erc en ta g e o f C ours e G ra d e: 1 5% . CRIT E R IA N O N-P ER FO RM ANCE BASIC P R O FIC IE N T DIS TIN G UIS H ED P re sen t d ata in a d escrip tiv e f o rm at (fo r e xam ple , t a b le s, ch arts a n d g ra p hs).

2 0% D oes n ot p re se nt d ata in a ny d escrip tiv e fo rm ats . P re se nts s o m e d ata in a d escrip tiv e fo rm at, b ut n ot all o f it . P re se nts d ata in a d escrip tiv e fo rm at ( fo r exa m ple , ta ble s, c h arts a nd g ra phs). P re se nts d ata in a d escrip tiv e fo rm at a nd pro vid es e xp la natio n o f th e ta ble , c h art, g ra ph, or o th er fo rm at. Id en tif y a n aly ses co nducte d o n b oth q uan tit a tiv e a n d qualit a tiv e d ata .

20% D oes n ot id entif y a ny analy se s c o nducte d o n data . Id entiﬁ e s o ne ty p e o f analy sis c o nducte d o n data ( e it h er q ualit a tiv e o r quantit a tiv e ), b ut n ot b oth . Id entiﬁ e s analy se s co nducte d o n both q ualit a tiv e a nd quantit a tiv e d ata . Id entiﬁ e s a naly se s co nducte d o n b oth q ualit a tiv e a nd quantit a tiv e d ata a nd exp la in s w hy th e analy se s w ere s e le cte d fo r b oth . P re sen t c o nte n t an aly ses o f qualit a tiv e d ata .

20% D oes n ot d is cu ss co nte nt a naly se s o f qualit a tiv e d ata . D is cu sse s c o nte nt analy se s o f q ualit a tiv e d ata b ut d oes n ot p re se nt th e analy se s in a c le ar o r w ell- o rg aniz e d m anner. P re se nts c o nte nt analy se s o f qualit a tiv e d ata . P re se nts c o nte nt analy se s o f q ualit a tiv e d ata , a nd e xp la in s th e analy se s a nd p ossib le im plic a tio ns o f th e re su lt s o f th e a naly se s. P re sen t s ta tis tic al an aly ses o f quan tit a tiv e d ata .

20% D oes n ot d is cu ss sta tis tic a l a naly se s o f quantit a tiv e d ata . D is cu sse s s ta tis tic a l analy se s o f q uantit a tiv e d ata , b ut th e r e su lt s a re n ot c le ar. P re se nts s ta tis tic a l analy se s o f quantit a tiv e d ata . P re se nts s ta tis tic a l analy se s o f quantit a tiv e d ata , in te rp re ts th e r e su lt s o f th e s ta tis tic a l a naly se s, a nd d is cu sse s th e im plic a tio ns o f th e re su lt s . C om munic ate in a m an ner t h at is c le ar an d w ell o rg an iz e d .

20% C om munic a te s in a m anner th at is s o d is o rg aniz e d a nd/o r h as so m any e rro rs in w rit in g m ech anic s th at th e id eas c a nnot b e unders to od. C om munic a te s in a m anner th at is n ot w ell- o rg aniz e d o r h as e nough erro rs in w rit in g m ech anic s th at it in te rfe re s w it h u nders ta ndin g th e id eas pre se nte d. C om munic a te s in a m anner th at is c le ar and w ell o rg aniz e d. C om munic a te s in a c le ar, w ell- o rg aniz e d m anner th at is fr e e o f erro rs in w rit in g m ech anic s a nd A PA fo rm at.