Victoria Hinojosa
660-80-9534
Packets of ground filter coffee have a nominal weight of 200g. The distribution of weights may
be assumed to be normal with =10g. A random sample of 30 packets had the following weights.
218 207 214 189 211 206 203 217 183 18

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TIME AVAILABLE
JOHN
SUSAN
MONICA
Business Calculus
Finite Mathematics
General Statistics
mathematical statistics
business statistics
finance
financial accounting
manegerial accounting
english literature
german
BOOK SUBJECT
B

Column1
Mean
16139.55
Standard E 2074.327
Median
14702.5
Mode
#N/A
Standard D 9276.671
Sample Var86056630
Kurtosis -0.288069
Skewness 0.453483
Range
36251
Minimum
0
Maximum
36251
Sum
322791
Count
20
Rank (by March
2011 Sales)
3
5
1
2
6
4
13
7
15
11
17
9
1

Starbucks
Largest Coffeehouse Company in the World.
The largest coffeehouse company in the world started with three college professors in
search for good quality coffee. The master minds behind Starbucks are an English professor Jerry
Baldwin, history pro

Tim Retirement Plan Model
Parameters
Current Year
Tim's current age
Total retirement savings
Annual rate of return on retirement savings
Annual Salary
Expected annual percentage increase in salary
Percentage of annual salary contributed to retirement
Expe

#NAME?
Princeton University
Dartmouth College
Yale University
U. of Notre Dame
California Institute of Technology
Harvard University
Duke University
Massachusetts Inst. of Technology
U. of Pennsylvania
Brown University
Lehigh University
Rice University
Wa

Question #4
Count - Title
Rating
G
PG
PG-13
R
UR
Total Result
Genre
Action
Animated Comedy
1
8
2
1
2
3
2
6
9
4
a) Animated and G Rating, is the combination that is presented the most in the top 50 movies da
Only Movies Released in 1980 or Later
Year Relea

Lab Assignment 2
Ice Cream Example
ICE CREAM AND DROWNINGS
Lurking Variables In this classic example it appears there is a causation
relationship between the explanatory variable (Ice cream; Sales) and
response variable (Drownings; Deaths). In reality t

Tim's Retirement Model
Parameters
Current Year
Age
Current Saving
Rate of Return on Retirement Savings(Pre Retirement)
Current Annual Salary
Expected Annual % Increase
% of salary Contributed
Expected Age of Retirement
Expected Expenses After Retirement
R