Company
Morningstar Rating
Ameren Corp
3
Apple Inc
4
At&T Inc
2
Bank of New York Mellon Corp
4
BlackRock Inc
4
Buckeye Partners
4
Cardinal Health Inc
3
CenturyLink Inc
3
Cintas Corporation
2
Colgate-Palmolive Company
2
Corning Inc
4
Darden Restaurants Inc
3
Discover Financial Services
3
eBay Inc
3
Endo Health Solutions
4
Fair Isaaac Corp
2
Fluor Corp
3
Gentex Corporation
5
Group 1 Automotive Inc
2
Hess Corp
4
Icon PLC
4
International Flavors & Fragrances
3
John Wiley & Sons, Inc.
4
Knight Transportation, Inc.
4
Life Technologies corp
4
Marvell Technology Group, Ltd.
4
Methanex Corporation
3
Mylan Inc
3
New York Times Company
1
OfficeMax Inc
1
Owens-Corning, Inc.
3
Polaris Industries, Inc.
3
Rio Tinto PLC
5
Sempra Energy
2
Stifel Financial Corp.
3
Texas Instruments, Inc.
4
United Technologies Corp
4
Weight Watchers International, Inc.
4
WR Berkley Corp
4
Yum Brands Inc
3
Business Risk
Average
Average
Average
Above Average
Average
Below Average
Average
Above Average
Average
Below Average
Above Average
Average
Above Average
Average
Above Average
Average
Above Average
Average
Above Average
Average
Above Average
Average
Average
Average
Average
Above Average
Above Average
Above Average
Above Average
Above Average
Above Average
Above Average
Average
Average
Above Average
Average
Average
Above Average
Average
Average
countif
4a
b
c
0.05
0.425
0.2
avg (stars)std. dev(stars)
3.25 0.942072
COUNTIF(B2:B41,"5")/40
COUNTIF(C2:C41, "Above Average")/40
(COUNTIF(B2:B41,"2")+COUNTIF(B2:B41,"1"))/40
std. dev(stars)
yes
454/478
741/833
1058/1644
total
a)
b)
c)
no
24 18-29
92 30-49
586 50+
2955
average
stddev
sample prop
average
stddev
sample prop
avg
stddev
sample prop
0.1536379
21.8790819
0.94979079
0.25076142
28.8703854
0.88955582
0.35803723
40.5497741
0.64355231
d)
based on sample proportion, the highest use seems to be in the 18lowest would be in the 50+ with a sample proportion of 0.64
e)
average
stddev
sample prop
0.76243655
41.43897
0.76243655
he highest use seems to be in the 18-29 category
8a)
error:
mean
stddev
30
50
100
400
16642
2400
438.178046
339.411255
240
120
b)
we can say that larger sample size reduces error, which would give a more correct estimation of the pop mean