Home improvements

1

• Homeimprovements

2

• READERS AND HOME IMPROVEMENT
• WHO DOES WHAT?

3
Most Common Types of Home Improvements
4
Of readers that will remodel, those with no
childrenat home exceed those with children by 24
38 have children at home
62 have no children at home
Sample 1 x70, N 113, p0.619469 Sample 2
x43, N 113, p0.380531 Estimate for p(1)-p(2)
0.238938. (0.112340,0.365537) Test for
p(1)-p(2) 0 Z 3.70 P-Value 0.0000
Tables 92, 95, 98, 101.
5
The percentage of Readers under 50 who will
remodel in the next year exceeds the percentage
over 50 by 15.
Sample 1 x 59, N 179 p 0.329609 Sample 2 x
55, N 115 p 0.478261 Estimate for p(1)- p(2)
(-0.263008, -0.0342959) Test for p(1)-p(2)0 Z
-2.55 P-Value 0.011
Table 81
6
At least 75 of male readers bought home
improvement items in the last 12 months.
Test of p 0.75 vs. not 0.75 X111, N 123
p 0.902439 95 CI (0.835781, 0.948565)
P-Value 0.000
Table 47
7
What Home Improvement Items Did Male Readers
Purchase?
Table 47
8

• Who Buys More Wallcovering
• Men or Women?

?
9

• 40 respondents purchased some form of wall
  covering in the last 12 months.
• The number of men purchasing wall covering
• 16
• (40)
• The number of women purchasing wall covering
• 24
• (60)
• Is this buying pattern true in general for men
  and women?

Table 58
10

• An analysis of the data indicates there is no
  significant difference in the percentages of men
  buying wall covering and women buying the same
  items.

Pw Pm , 95 CI (-1.5, 41.5)
11
Does More Income Hiring Help?

• ( Bath / Kitch Items) ( 50K )

12 out of 48 respondents who purchased
bath/kitchen home improvement items and reported
a household income of 50k or more hired outside
contractors to do the installation (25)
Table 48
12

• (Purchased B/K Items) (
• 25 out of 80 respondents who purchased
  bath/kitchen items and reported an income less
  than 50K hired outside contractors to do the
  installation (31.25)

Table 48
13

• The data analysis
• suggests that there is
• no direct relationship
• between the amount of money earned and the hiring
  of outside contractors.

P50K P
14
How Many Did Their Own Home Improvements?
79
67
68
68
68
68
60
31
The graph shows for each home improvement item,
that at least 50 of Tennessee Magazine
respondents did their own home improvements
instead of hiring an outside contractor.
Tables 48-61, rows 1 2, column 1
15

• Do homeowners tend to hire outside contractors to
  do painting jobs?

16
78 bought exterior paint
(20.5)
15
Used Cont.
129 bought interior paint
10
(7.75)
Used Cont.
Tables 60 61
17

• A data analysis supports the percentages that
  indicate homeowners purchasing exterior paint are
  more likely to hire the work done.

PE PI, 95 CI
(0.0244200, 0.231500)
18
Who Bought more paint men or women?
56.2
55.3
There is no significant difference in the number
of females and males who purchased paint
Table 47, row 3, columns 4 5
19
Is Paint or Wallpaper More Popular?
20
We are 95 confident that the percentage of all
recipients who purchase paint is between 34.7
and 48.8 greater than the percentage of all
recipients who purchase wallpaper/covering. (z,
n 285, p0.000)
95 CI for difference (0.347182, 0.487906) Test
for difference 0 (vs not 0) Z 11.63
P-Value 0.000
From Table 47
21
Do Females Or Males Use an Outside Contractor for
Exterior Painting More Often?  
 
FEMALE
MALE
Even though the percent of females using an
outside painting contractor for exterior painting
(28,n40) in our sample is greater than the
percent of males using an outside painter
(12,n33), we can not determine any significant
difference between the female and male of all
magazine recipients because the sample size was
too small.
95 CI for difference (-0.0238269,
0.331403) Test for difference 0 (vs not 0)
Z 1.70 P-Value 0.090
From Table 60
22
Do Rural or City Households Perform Their Own
Plumbing Work More Often?
or
73
43
Our calculations tell us that the true difference
in all rural and small town households (sample
73, n66) doing their own plumbing work and
those living in the city ( sample 43, n14)
doing their own plumbing work is such a large
interval (from 1.8 to 57.9) that it is not very
helpful. We needed a larger sample size
(especially in the city) to make a better
determination for the entire readership .
95 CI for difference (0.0180911,
0.579312) Test for difference 0 (vs not 0)
Z 2.09 P-Value 0.037
Table 50 106
23
What Is Purchased More?? Kitchen/Bathroom Items
or Light Fixtures?
24
  Kitchen/Bathroom Item Light
Fixtures Total Purchased 136
(47.8) 90 (31.6) 226 Did Not Purchase 149
(52.2) 195 (68.4) 344 Total 285 285 57
0
95 CI for difference (0.0821886,
0.240618) Test for difference 0 (vs not 0)
Z 3.99 P-Value 0.0000409  
From Table 47
25
We are 95 confident that the true percentage of
all magazine recipients that purchase
kitchen/bathroom items is between 8 and 24
greater than the percentage of all magazine
recipients that purchase light fixtures (z, n
285, p .0000409).  
26

• remodeling

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How Many are Likely to Remodel
93
85
80
75
70
25
30
20
15
7
The graph shows that for each type of remodeling,
less than 30 of Tennessee Magazine respondents
said they are likely to do any type of remodeling
to their home in the next 12 months.

• Tables 64-68, rows 2,5,6, column 1

28
Remodel the Kitchen

• 79 of the people who were likely to do Home
  improvement work will remodel their kitchen
• 21 of the people who were likely to do Home
  improvement work, will not remodel their kitchen

• Home owners who did home improvement work are
  more likely to
• remodel their kitchen in the next
• 12 months than home owners who didnt
• do any home improvement work within the last 12
  months

29
Remodel the Bathroom

• A higher percent of home owners who did some form
  of remodeling within the past 12 months will also
  remodel their bathroom within the next year.
• 85 of the people who were likely to do Home
  improvement work will remodel their bathroom

• samples sizes too small of traditional hypothesis
  testing -- the tests needed are beyond the scope
  of this class. The descriptive stats are
  sufficient.

30
Households with younger children are less likely
to remodel
31
Number of families with male children who are
likely to remodel
32
Number of families with female children who are
likely to remodel
33
(No Transcript)
34

• Source DF SS MS F P
• age 2 34.333 17.1667 0.31 0.764
• sex 1 54.000 54.0000 0.97 0.428
• Error 2 111.000 55.5000
• Total 5 199.333
• H0 all a0, H0 all b0
• F.95(2,2) 19
• F.95(1,2) 18.5
• Both F-values are larger than corresponding
  F-Statistics from chart.
• Also the P-Values are huge

35
Conclusions

• Percent of families with children who are likely
  to remodel 49
• Percent of families with children who are not
  likely to remodel 35
• Through Hypothesis testing we determined that
  neither age or gender of children have an affect
  on percent of respondents who remodel