Problem 1 -
Homework 2
(a) For x [0.05, 0.95], we will use the observations in the interval [x - 0.05, x + 0.05], so
this represents a length of 0.1 i.e. 10% of the entire interval.
For observations, x < 0.05, we will use the observations in the inter
Problem 1 -
Homework 2
(a) For x [0.05, 0.95], we will use the observations in the interval [x - 0.05, x + 0.05], so
this represents a length of 0.1 i.e. 10% of the entire interval.
For observations, x < 0.05, we will use the observations in the inter
Problem 1 -
Homework 3
(a) As we increase s from 0, the training RSS will (iv) Steadily decrease, since
coecients increase from 0 to their Least Squares estimates and training error for 0
coecients would be maximum and it'll decrease as coecients reach
Problem 1 -
Homework 3
(a) Removing unknown Salary information observations and log transforming the Salaries -
(b) Creating training and test set -
(c) Performing boosting with range of shrinkage parameters -
(d) Plot for shrinkage vs. Test MSE -
(
Problem 1 -
Homework 3
(a) As we increase s from 0, the training RSS will (iv) Steadily decrease, since
coecients increase from 0 to their Least Squares estimates and training error for 0
coecients would be maximum and it'll decrease as coecients reach
Homework 1
Problem 1
a) The goal of this scenario is to understand which factors affect CEO Salary.
Therefore, this is a Regression Problem and we are most interested in Inference.
n=500 and p=3 (profit, number of employees and industry) for this problem
Problem 1 -
Homework 2
(a) For x [0.05, 0.95], we will use the observations in the interval [x - 0.05, x + 0.05], so
this represents a length of 0.1 i.e. 10% of the entire interval.
For observations, x < 0.05, we will use the observations in the inter
Problem 1 -
Homework 2
(a) For x [0.05, 0.95], we will use the observations in the interval [x - 0.05, x + 0.05], so
this represents a length of 0.1 i.e. 10% of the entire interval.
For observations, x < 0.05, we will use the observations in the inter
Problem 1 -
Homework 2
(a) For x [0.05, 0.95], we will use the observations in the interval [x - 0.05, x + 0.05], so
this represents a length of 0.1 i.e. 10% of the entire interval.
For observations, x < 0.05, we will use the observations in the inter
Problem 1 -
Homework 2
(a) For x [0.05, 0.95], we will use the observations in the interval [x - 0.05, x + 0.05], so
this represents a length of 0.1 i.e. 10% of the entire interval.
For observations, x < 0.05, we will use the observations in the inter
1
THE PAYMENT TIME CASE STUDY
Title
The Payment Time Case Study
Student Name
2
THE PAYMENT TIME CASE STUDY
(a)
State the interpretation of 95% confidence interval and state whether or not the
billing system was effective.
Confidence interval limits for th
1. If a normally distributed group of test scores have a mean of 70 and a standard deviation
of 12, find the percentage of scores that will fall below 50.
A) 4.75% B) 45.25% C) 35.54% D) 6.75%
Answer is A
A normal population has a mean u= 40 and standard
DMT (Spring 2017)
-Second TestInstructions for the Comprehensive Test:
Format: Times New Roman, 12pts, 1.5 space, 1 margin (all around), full
justification.
Name on the upper right corner: only in the first page.
No cover page (dont waste a page with l
BUS 388N 112, Spring 2017
Final Exam Take Home
1. Pok city is seeking to reduce in-city driving by introducing a mass-transit bus system. The
goal is to have the minimum number of buses that can handle the transportation needs for the
day (24-hour window
Spring 2017 SysDoc1 and SysDoc2 Assignment
Production Process
NOTE: This is a simplified version of a process for the purpose of illustrating flowcharting techniques.
NARRATIVE
The Chief Operating Officer receives the Annual Budget from the Accountant the
32. The fixed assets have estimated useful lives as follows:
Building - 31.5 years
Computer Equipment - 5.0 years
Office Equipment - 7.0 years
Use the straight-line method of depreciation. Management has decided that assets
purchased during a month are tr
Example of Solving for Sample Mean, Variance and Standard Deviation
x
12
18
7
23
19
sum
Sample Mean:
Sample Variance:
Sample Standard Deviation:
(x - x-bar) (x - x-bar)2
Example of Solving for Sample Mean, Variance and Standard Deviation
x
5
3
9
-6
0
sum
Please type your responses in a single word document and, when finished, upload the
document to the assignment link in MyGateway. Please do not include any of your SPSS
output.
*All hypothesis tests are = .05 and two-tailed (if relevant)*
1. A statistics
Two-way ANOVA-the analysis of the impacts of unions revisited.
The results you obtained in response to question 6 above may not tell the whole story. Any
differences in hours and/or wages between union and non-union workers may change if we consider a
sec
1.) You must forecast the number of parts to purchase next week for a production
process. Data from the previous 20 weeks is shown in the table below.
Parts
Week
Demand
1
3263
2
2666
3
2114
4
2934
5
3008
6
4210
7
1322
8
1751
9
2565
10
2754
11
2095
12
3005
Step1:
Read the case study carefully. You will see that Alcos owner plans to contribute a percentage of
the required funding as a cash contribution to Alco with the balance to be financed by 2 parties,
the City which will offer floating rate financing at
Nominal, Ordinal, Interval Notes
Part One:
1. Nominal
There are no nominal variables for these statistics.
No numerical score
Zip code, political party affiliation, religious preference example
2. Ordinal
Scores and categories
Ranked from high to low
The table below shows information on direct flights between seven cities, C1-C7.
1. Create a pivot table (I9) to show the number of available flights between each pair of cities C1-C7 [10 pts]
2. Create a pivot table (I22) to show the prices of the cheape
Students
Instrument
Piano
Teacher
Total Students
StudentID
000001
000002
000003
000004
000005
000006
000007
000008
000009
000010
First Name
Zia
Pandora
Inez
Jael
Minerva
Summer
Quyn
Violet
Clark
Hyat
Last Name
White
Brock
Clements
Boyer
Burton
Sweeney
Ort