STATISTICAL INFERENCE - Case 4
Difference between two Proportions (p1 p2)
1
There are many situations where we want to compare two groups when we dont know much
about either of the groups. Here we are considering to compare two unknown population (true)
p
STATISTICAL INFERENCE - One Binomial p
Case - 2
1
Often in life we face situation which is similar to Binomial in nature. For example, if you
ask somebody If today would have been the presidential vote, would you have been voted
for Hilary Clinton? Assumi
STATISTICAL INFERENCE - Cases 1 & 2
Sample Problems
1
Problem - The management of Priority Health Club claims that its members lose an
average of 10 pounds or more within the first month after joining the club. A consumer
protection agency doubted their c
STATISTICAL INFERENCE - Case 7
Difference between two Means (1 2)
Small Dependent Sample
1
As we discussed before Case-6, whenever you need to compare two groups using their means
and gather samples, it is necessary to pay attention about their dependency
STATISTICAL INFERENCE - Case 3
Difference between two means (1 2)
1
There are many situations where we want to compare two groups when we dont know
much about either of the groups. Here we are considering comparing two unknown population
using the populat
STATISTICAL INFERENCE - Case 5
Inference about one mean() Small Sample
1
In Case-I, we have discussed the process to infer about one population mean. But we had an
assumption that either we know the population standard deviation (with Normal Distribution)
STATISTICAL INFERENCE - Case 6
Difference between two Means (1 2)
Small Sample
1
When we need to compare two groups in terms of means (Large or Small Sample), we need
take special care about how samples are taken. The reason is that the sample may have de
Breakeven Analysis
Breakeven Point in Units = Fixed Costs/ Price - Variable Costs
Fixed Costs = Total Overhead
Price = Price for Each Product Sold
Variable Costs = Company Costs That Change Based On Units Sold
Price - Variable Costs is called the
Contribu
Standard Normal Cumulative Probability Table
Cumulative probabilities for NEGATIVE z-values are shown in the following table:
z
-3.4
-3.3
-3.2
-3.1
-3.0
0.00
0.0003
0.0005
0.0007
0.0010
0.0013
0.01
0.0003
0.0005
0.0007
0.0009
0.0013
0.02
0.0003
0.0005
0.0
Trevor McMullan
Applied Business Statistics Assignment #3
Each question is worth 10 points
1. A citys telephone book lists 100,000 people. If the telephone book is the frame
for a study, how large would the sample size be if systematic sampling were done
Applied Business Statistics Assignment # 2
Each question is worth 10 points
1. The following lists the number of fatal accidents by scheduled commercial
airlines over a 17-year period according to the Air Transport Association of
America. Using these data
Trevor McMullan
Applied Business Statistics Assignment # 2
Each question is worth 10 points
1. The following lists the number of fatal accidents by scheduled commercial
airlines over a 17-year period according to the Air Transport Association of
America.
Statistical Methods
21:220:231
Final Exam: Practice Test Questions:
Chapter 8 (Sample Methods)
1.What is it called when all the items in the population have the same chance of being selected for the
sample?
A)Nonprobability sampling
B)Random sampling
C)Ju
This article was downloaded by: [Rutgers University]
On: 21 January 2015, At: 20:39
Publisher: Routledge
Informa Ltd Registered in England and Wales Registered Number: 1072954 Registered
office: Mortimer House, 37-41 Mortimer Street, London W1T 3JH, UK
Su
SUMMARY OUTPUT
Regression Statistics
Multiple R 0.477007
R Square 0.227536
Adjusted R 0.204816
Standard Er 110.6264
Observatio
36
ANOVA
df
Regression
Residual
Total
SS
MS
F
Significance F
1 122565.4 122565.4 10.01499 0.0032662665
34 416098.5 12238.19
35 5