Statistics for Business Control and Regression Models
STAT 103

Fall 2014
STATUB.0103
Homework Set 1
The abbreviation MBS10 refers to the 10th ed of the course textbook. MBS11 refers to the
11th ed.
1. Consider this set of 6 values: 131, 124, 184, 119, 166, 154
Find the mean, median, and standard deviation for this set.
Mean:
Hypothesis Testing
Inferences Based on Two
Samples: Confidence Intervals
and Tests of Hypothesis
Comparing Two Population Means:
Independent Sampling
Confidence Intervals and hypothesis testing
can be done for both large and small
samples
Large sample cas
Statistics for Business Control and Regression Models
STAT 103

Spring 2015
The 1967 ArabIsraeli War
Origins and Consequences
Six Day War: named by defense minister Moshe Dayan, conscious allusion to the six day sof
Creation in the book of Genesis
Israeli side: defensive war, morally justified, war of no choice imposed on them
Statistics for Business Control and Regression Models
STAT 103

Spring 2015
The Impact of the West Bank and Gaza
from 1948 to 1967, the issue of integration with or separation from Palestinian Arabs was
dormant in Israeli politics
the 1967 war revived the pre1948 debate: old divisions and dormant claims were reopened
those who
Homework for Statistics and Data Analysis
STATUB.0103.002
12 February 2016
Ed Melnick
Class Discussion
1. An illustration of a data analytic study is presented in Document 4 Data Analysis:
Comparison of Mutual Funds, page 26 in the notes. In this
example
Summary of Class Discussion and Homework
for Statistics and Data Analysis
STATUB.0103.002
19 February 2016
Ed Melnick
Class Discussion
1. The following terms were introduced: joint probability function, conditional
probability, and statistical independen
NYU Stern School of Business
Undergraduate College
STATUB.0103.002 (C22.0103): STATS F/BUS CNTL
REGRESS & FORECASTING MODELS
Spring 2016
Instructor Details
Melnick, Edward
Email:emelnick@stern.nyu.edu
Phone:(212)9980444
Office Hours: MWF 12:30 1:30
Offi
Formula Sheet Test 2
P
Sample mean: x =
x
n
x)2
n
P
x2 (
Sample variance: s2 =
n1
Standard deviation: s = s2
P
Chebyshevs Theorem: For any number k > 1, at least (1
values lie within k standard deviations of the mean.
1
)
k2
of data
Interquartile Ra
Krystal (Violet) Brooks
Statistics
Professor Melnick, TA Harry
February 16, 2016
Assignment 2
INCOME AND MAGAZINE SUBSCRIPTION DATA
A sample of 50 households in an upper middle class community was taken and the
following measurements were obtained:
Variab
Violet Brooks
Statistics
Professor Melnick, TA Harry
Due: Monday February 22, 2016
Assignment #3 Generate a Random Walk Model on Minitab
Assignment #4 Examples of Basic Probability Problems
Questions 46 (pg. 6364)
4. If A and B are independent events a
Handout assignment VII
Due date: 4/22/2016
1. A manufacturing company is interested in predicting the number of defects that will be produced each
hour on the assembly line. The managers believe that there is a relationship between the defect rate and
the
Homework V
Due date: 3/31/2016
1.
An MBA program requires average GMAT score of more than 670 to be admitted. The XYZ.,
Inc. wants to know if the average GMAT score for the students who have taken their prep
course meets the above standards. They have col
1. A survey by KRC research for U.S News reported that 37% of people plan to spend more
on eating out after they retire. If eight people are randomly selected, determine the
following probabilities.
a). Exactly five people plan to spend more on eating out
Statistics for Business Control and Regression Models
STAT 103

Spring 2015
Adrien Heylen
Aya Tanaka
SOIMUB 125 Sec 8
05/10/15
Heylen, 1
A joint venture between Zidisha and MTN MobileMoney Ghana to promote
microfinancebased financial inclusion in order to greatly hinder extreme
poverty.
Financial exclusion has become one of the
Statistics for Business Control and Regression Models
STAT 103

Spring 2015
Politics UA700.1 International Politics
Fall 2014
Monday and Wednesday 12:301:45PM
Professor Shanker Satyanath
19 West Fourth Street, Room 425
Phone: 12129988515
Email: shanker.satyanath@nyu.edu
Office hours: Monday 1112
Overview
The goal of this co
Hypothesis Testing
Inferences Based on a Single
Sample: Tests of Hypothesis
The Elements of a Test of
Hypothesis
7 elements
1.
2.
3.
4.
5.
6.
7.
The Null hypothesis
The alternate, or research hypothesis
The test statistic
The rejection region
The assumpti
NORMAL DISTRIBUTION
THE NORMAL DISTRIBUTION
Documents prepared for use in course B01.1305,
New York University, Stern School of Business
Use of normal table, standardizing forms
page 3
This illustrates the process of obtaining normal probabilities from t
Statistics for Business Control and Regression Models
STAT 103

Fall 2014
STATUB.0103 and 0001
Homework Set 2
1. If one card is selected at random from a standard deck of 52, find the probability that
a.
the selected card is a diamond () ;
b.
the selected card is a seven;
c.
the selected card is red;
d.
the selected card eithe
Statistics for Business Control and Regression Models
STAT 103

Fall 2014
STATUB.0103
Homework Set 3
Instructor: Kevin Brabazon
1. The random variable Y has the probability distribution described in this table:
y
P[ Y = y ]
1
0.20
2
0.50
3
0.20
4
0.10
Find the mean and standard deviation of the random variable Y.
Mean: 2.2
Std
Statistics for Business Control and Regression Models
STAT 103

Fall 2014
HOMEWORK SET 4
STATUB.0103
1. If Z is a standard normal random variable, find the probability that
a.
0 Z 1.24
b.
Z > 0.45
c.
 Z  0.80
2. The apples from HappyMac Farm have diameters which are approximately normally
distributed with mean = 3.0 inches
Statistics for Business Control and Regression Models
STAT 103

Fall 2014
THE HYPERGEOMETRIC RANDOM VARIABLE
Recall that the binomial coefficient is used to count the number of possible
r
selections of r things out of 11!. Using :12 = 6 and r = 2 would provide the number of
possible committees that could be obtained by select
Statistics for Business Control and Regression Models
STAT 103

Fall 2014
HOMEWORK SET 4
STATUB.0103
Sagar Khetpal
1. If Z is a standard normal random variable, find the probability that
a.
0 Z 1.24 P(0<Z<1.24) = 0+.3925=.3925
b.
Z > 0.45 P(Z>.45) = .5+.1736 = .6736
c.
 Z  0.80 P(lZl > .8) = .2881+.2881=.5762 1.5762=.4238
Statistics for Business Control and Regression Models
STAT 103

Fall 2014
InferencesBasedonaSingleSample:
EstimationwithConfidenceIntervals
LargeSample Confidence Interval
for a Population Mean
How to estimate the population mean and
assess the estimates reliability?
x is an estimate of , and we use CLT to
assess how accurate
Statistics for Business Control and Regression Models
STAT 103

Fall 2015
Data Types, Data Display and
Summary Statistics
Statistics for Business Fall 2015
1
TYPES OF DATA
Statistics for Business Fall 2015
2
Types of Data
Quantitative or Qualitative?
Quantitative: presented as numbers permitting
arithmetic
Interest rate
Temper
Statistics for Business Control and Regression Models
STAT 103

Fall 2015
Probability
Statistics for Business Fall 2015
1
Probability
Probability is the basic language of statistics
Probability vs Statistics
Probability: a fair coin is tossed 10 time; what is the
probability of getting 8 heads?
Statistics: a coin is tossed 10
Statistics for Business Control and Regression Models
STAT 103

Fall 2015
The Normal Distribution
Statistics for Business Fall 2015
1
The Normal Distribution
Very important distribution in statistical theory
Many phenomena around us and in nature are
modeled by a normal distribution
Quality characteristics of finished product
Statistics for Business Control and Regression Models
STAT 103

Fall 2015
Random Variables and
Probability Distributions
Statistics for Business Fall 2015
1
Random Variables
Question: A coin is tossed three times; what is
the probability you will get two heads?
A random variable (RV) is something that takes
on numerical value