Question

For this statistics case study provide a full summary write up to state the results as...

For this statistics case study provide a full summary write up to state the results as indicated in the Managerial Report instructions.

Income
($1000s)
Household
Size
Amount
Charged ($)
54 3 4,016
30 2 3,159
32 4 5,100
50 5 4,742
31 2 1,864
55 2 4,070
37 1 2,731
40 2 3,348
66 4 4,764
51 3 4,110
25 3 4,208
48 4 4,219
27 1 2,477
33 2 2,514
65 3 4,214
63 4 4,965
42 6 4,412
21 2 2,448
44 1 2,995
37 5 4,171
62 6 5,678
21 3 3,623
55 7 5,301
42 2 3,020
41 7 4,828
54 6 5,573
30 1 2,583
48 2 3,866
34 5 3,586
67 4 5,037
50 2 3,605
67 5 5,345
55 6 5,370
52 2 3,890
62 3 4,705
64 2 4,157
22 3 3,579
29 4 3,890
39 2 2,972
35 1 3,121
39 4 4,183
54 3 3,730
23 6 4,127
27 2 2,921
26 7 4,603
61 2 4,273
30 2 3,067
22 4 3,074
46 5 4,820
66 4 5,149

1. Use analysis of variance to test for significant differences.

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Answer #1

Ho:mean of three factors do not differ significantly Vs

H1: mean of three factors differ significantly

One-way ANOVA: Income, Household size, amount charged

Source DF SS MS F P
Factor 2 517653692 258826846 890.84 0.000
Error 147 42709671 290542
Total 149 560363364

S = 539.0 R-Sq = 92.38% R-Sq(adj) = 92.27%


Individual 95% CIs For Mean Based on
Pooled StDev
Level N Mean StDev -+---------+---------+---------+--------
Income 50 43.5 14.6 (*-)
Household size 50 3.4 1.7 (*)
amount charged 50 3964.1 933.5 (*)
-+---------+---------+---------+--------
0 1200 2400 3600

Pooled StDev = 539.0
Conclusion: as p-value=0.000< alpha=0.05, we reject Ho, hence we conclude that their is significant difference in mean of three factors.

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