The next tab of this Excel spreadsheet contains the NFL raw data for these problems.
In the National Football League, the philosophy for winning (rushing, passing,
defense) seems to go through cycles.
Question:
Does "gender" influence the relationship between hand and foot?
Does adding "gender" to our regression model improve our ability to predict foot size given hand size?
Data Collection:
(in Ce
x-bar / R Chart Exercise : Testing the Measurement System
10 pound bag of cracked corn
Graph both charts:
n=3
Sample
Day 1
Day 2
Day 3
Day 4
Day 5
Day 6
Day 7
Day 8
Day 9
Day 10
Day 11
Day 12
Day 13
D
MBC 638
Data Analysis
Increase Weekly Savings
DMAIC Process Project
Michael C. Bores
Professor Kivanc Avrenli
Define: Complete by April 16th, 2016.
Measure: Complete by May 2nd, 2016.
Define
Problem s
1st function norm.s.dist NORMAL PROBABILTY DISTRIBUTION
Q: WHAT % OF STUDENTS ARE SHORTER THAN 60"?
GIVEN: u = 50, o =5
x = 60
50 = mean
5 = std dev
true you want the cumulative probability
Z= (60-50)
Question:
Can the length of your hand predict the size of your foot? Is there a relationship?
Data Collection:
(in Centimeters)
Which variable is the output (y)?_The measurement of the foot is the out
15.1
7.8
8.9
17.2
10.9
15.7
confidnece interval
20.2888423
3.9 stdev
12.6 avg
4.1
8.5
16.7
We are 95% confidnet that 8.5 <orequal Mu <orequal16.7
2.2
2.4
3.8
2.2
2.5
4.3
n
CI
a
E
6.00
0.95
0.05
0.50
*