NAME section. BANNER ID N00 MAT 102 LAST EXAM Fall Complete each problem using the answer key general forms file provided.
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1 NAME setion BANNER ID N00 MAT 0 LAST EXAM Fall 0 Comlete eah roblem using the answer key general forms file rovided. Chek-list for eah roblem: ) State the Model used: samling distribution of the means, samling distribution of the roortion, hi square, regression, -samle T test ) State: Ho, Ha 3) Shade the diagram and label (Shade TT or TT, and ) 4) Determine / State/ Generate the following: Signifiane level, onfidene level, deision rule, -value, Interretation of the -value, Conlusion statistially worded, Conlusion worded in English, Signifiant of the -value, Probability of Tye I error, Tye I error - English interretation, Probability of Tye I I error, Tye I I error - English interretation, indeendent variable, deendent variable, regression equation, orrelation oeffiient, interretation of the oeffiient of determination, Chi Square value 5) Show: alulations for all related values and the eat alulator funtions used. Use all the aroriate symbols for eah variable and onet.
2 APPROPRIATE SYMBOLS df r r r a o H H q n P Z Z Z s RC LC s s value t t t
3 # State the MODEL TYPE: Samling of Proortions Shade and Label Ho: Ha: SE= MEAN and symbol = (N = ) (If neessary P = q = ) Calulator funtion used (for ritial) ( nd Calulator funtion used (for ritial)) Critial value(s) and Signifiane level Confidene level Deision rule Conlusion statistially worded Conlusion in English Probability of a Tye I error = Tye I error - English interretation Probability of a Tye I I error = Tye I I error - English interretation n q P ˆ _ ˆ ˆ ˆ 3
4 -value -value interretation level neessary to reverse the onlusion How signifiant is the -value 4
5 # State the MODEL TYPE: Samling of Means Shade and Label all Ho: Ha: SE= MEAN and symbol = (N = ) Calulator funtion used (for ritial) ( nd Calulator funtion used (for ritial)) Critial value(s) and Signifiane level Confidene level Deision rule Conlusion statistially worded Conlusion in English Probability of a Tye I error = Tye I error - English interretation Probability of a Tye I I error = Tye I I error - English interretation n q P ˆ _ ˆ ˆ ˆ 5
6 -value -value interretation level neessary to reverse the onlusion How signifiant is the -value 6
7 Form # MODEL: CHI SQUARE Shade and Label: Ho: Ha: ev Deision rule -value Interret -value Conlusion statistially worded Conlusion in English How signifiant is the -value? 7
8 Form # MODEL: REGRESSION Ho: Ha: shade TT or TT, Generate and label: r r Deision rule Regression equation -value Interret -value Conlusion statistially worded Conlusion in English 8
9 r r Interretation Predited value interolation or etraolation? How muh onfidene in the redited result? How signifiant is the -value Satter Plot 9
10 #3 State the MODEL TYPE: TWO SAMPLE Shade and Label all Ho: Ha: SE= MEAN and symbol = N = N = Calulator funtion used (for ritial) ( nd Calulator funtion used (for ritial)) Critial value(s) and Signifiane level Confidene level Deision rule Conlusion statistially worded Conlusion in English Probability of a Tye I error = Tye I error - English interretation Probability of a Tye I I error = Tye I I error - English interretation n q P ˆ _ ˆ ˆ ˆ 0
11 -value -value interretation level neessary to reverse the onlusion How signifiant is the -value
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