Final :
Q1 :
Stat >basic > descriptive stat option show all
Find: Mean , Sd : S, Variance: S2, Mode , medium >
Standard deviation: is the best cz it uses all of the values in the calculation . it indicates how spread out the data
are , and it is in the sa
Final Exam - Final Exam
Time Remaining:
Page: 1 2 3
Page 1
Question 1. 1. (TCO A) An assembly line worker samples 20 items off the line every hour and
measures the width of each item (in units of inches). The results for one such hour are given
here.
13.8
Sort by Author
Hello All
Sort by Date/Time*
Margaret Gotora
10/27/2013 1:42:09 PM
My name is Madge and I am a MBA/MPM student. Have 2 kids and am interested in
owning a successful business in the very near future, I like to travel, new found hobby is to
r
Final :
Q1 :
Stat >basic > descriptive stat option show all
Find: Mean , Sd : S, Variance: S2, Mode , medium >
Standard deviation: is the best cz it uses all of the values in the calculation . it indicates how spread out the data
are , and it is in the sa
Q7 : Find intervals 95 for regrestion :
Stat>regrestion>general regression >
1. Use the response : what we doing our calcation based on
2. Fill out the model : what we need to find
3. Go to prediction and fill out the vale
4. Mark prediction limits and co
Fall
Dec
Hypothesis Testing and Confidence Intervals
[ Ahmad Nijim ]
Math 533
08
08
Project Part B: Hypothesis Testing and Confidence Intervals
a. The average (mean) annual income was less than $50,000
Null Hypothesis: The average annual income was greate
Modified:12/5/2013 5:53 PM
The survey done by the wall street journal studied subjects that
the sample used in Kleenex diary assumed that there is
minimum error indicating the probability people that had the
cold virus used 60 tissues in each box. The com
Week 6: Simple Linear Regression Discussion
This week's graded topics relate to the following Terminal Course Objectives (TCOs):
E
Given a managerial problem and accompanying data set, for which regression analysis - simple or multiple is appropriate, fit
Week 3: The Normal Distribution, Sampling
Distributions - Discussion
This week's graded topics relate to the following Terminal Course Objectives (TCOs):
B
Given a managerial problem, utilize basic probability concepts, and standard probability distributi
Week 2: Probability Concepts and
Distributions - Discussion
This week's graded topics relate to the following Terminal Course Objectives (TCOs):
B
Given a managerial problem, utilize basic probability concepts, and standard probability distributions, e.g.
The probability of winning or losing is 1 in 3 prior to opening the curtain C, therefore 1/3 or
33% chance. After curtain C is opened, it becomes 50:50 or half chance of winning or losing.
The best strategy is to guess or go with one's instinct, after all
Sort by Author
Quantitative
Variable
Metrics
Sort by Date/Time*
Margaret Gotora
11/12/2013 12:53:16 AM
I work in a business to business call center environment where we provide services to
clients and their limited English speaking clients. Our business i
Sort by Author
Sort by Date/Time*
Trying to
caculate by
Sudan Khan
using formula
12/7/2013 9:09:31 PM
_+
_+
_
x - 1.96 Q_ = x
- 1.96 Q_/ \/ n
x
x
When I tried to use the formula that x-bar plus or minus 1.96 times the standard deviation
equals x-bar plus
Week 4: Hypothesis Testing I: Basics and
Confidence Intervals - Discussion
This week's graded topics relate to the following Terminal Course Objectives (TCOs):
C
Given a managerial problem and accompanying data set, for which application of a confidence i
Week 7: Multiple Linear Regression Discussion
This week's graded topics relate to the following Terminal Course Objectives (TCOs):
E
Given a managerial problem and accompanying data set, for which regression analysis - simple or multiple is appropriate, f
Week 5: Hypothesis Testing II: One Sample
Hypothesis Tests - Discussion
This week's graded topics relate to the following Terminal Course Objectives (TCOs):
D
Given a managerial problem and accompanying data set, for which the test of an hypothesis is app
Introduction
AJ DAVIS is a department store chain, which has many credit customers and wants to find out more information
about these customers. A sample of 50 credit customers is selected with data collected on the following five
variables:
1.
LOCATION (
MATH 533 DeVry (Applied Managerial Statistics) Course Project;
AJ Davis Department
Download
AJDAVISisadepartmentstorechain,whichhasmanycreditcustomersandwantstofindoutmoreinformation
aboutthesecustomers.Asampleof50creditcustomersisselectedwithdatacollecte
Week 1: Data Organization and Analysis Discussion
This week's graded topics relate to the following Terminal Course Objectives (TCOs):
A
Given a managerial problem and accompanying data set, construct graphs (following principles of ethical
data presentat
12/24/2013
Math 131
Table of Contents
Math 131 Notes
Math 131 Notes. 1
Unit 1 Descriptive Statistics & Basic Probability. 1
Unit 2 Probability & Probability Distributions. 18
Unit 3 Inferential Statistics. 32
1
12/24/2013
Math 131
Unit 1
Unit 1 Descriptiv
Case: Statistics in Action: Diary of a Kleenex User (graded)
Hypothesis Testing
Class: Our goal with hypothesis testing is to determine if a claim regarding a population may be
correct. The answer to this question depends on many factors, such as: 1) the
Keller Graduate School of Management
MATH-533 Applied Managerial Statistics
Course Project: Part C
1.) Below is a scatterplot for the dependent (Sales) versus independent (Calls).
2.) The equation of the best fit line, which describes the relationship bet
Week 7 Homework and Quiz
Question 1
a.) Y = 1.844 + 01745x1 + 0.00014x2
b.) B1 = Option b - we estimate the mean number of crashes per 3 years will increase by B for each
additional mile of roadway, holding AADT constant.
B2 = Option b we estimate the mea
Week 6 Homework and Quiz
Question 1
a.) The equation of a straight-line model is y=Bo + B1x + E Option d
b.) Y = 271 0.723x
c.) Option b Since a drive with distance 0 yards is outside the range of the sample data, the yintersect has no practical interpret