Measuring GDP and
Economic Growth
Xiaoyu (Ross) Zhu
Y: Gross Domestic Product
C: Personal Consumption Expenditures
I: Gross Private Domestic Investment
G: Government Expenditure on Goods and Services
X M: Net Export of Good and Services
Domestic and Gross
Lecture 11: Sampling Distributiens and the Central
Limit Theerem
Bahaeddine'Taeuk
Ap|12,201?
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Lecture 11: Semplir? Dietrihutiene. end the (filmml lqnir Theerem I q"
cfw_15 April 12, 3111 1f15
Eieheeddine Teeufii: DGGE EIEEEI Objectives
- How t
One of the problems encountered with organ transplants is the body's rejection of the transplanted
tissue. If the antigens attached to the tissue cells of the donor and receiver match, the body will accept
the transplanted tissue. Although the antigens in
SAMPLING DISTRIBUTION OF xx
In this section we explore the sample mean, xx, as the statistic. The sample mean is one of the more
common statistics used in the inferential process. To compute and assign the probability of occurrence of
a particular value o
Correcting for Continuity
Translation of Discrete Distribution to Continuous Distribution isnt completely straightforward.
correction of +.50 or (.50) or .50, depending on problem, is Reqd. This correction ensures most of
binomial problems Info is correct
Baruch College, Fall 2016, 09-06-16
STA 9700 Homework #1
Section 1.2
1.2.1 A professor recently bought six bags of Quikrete Mortar Mix and measured their net
weights as follows, in pounds:
54, 60, 63, 61, 58, 65.
These were from one production run. Assume
Baruch College, 12-4-16
STA 9700: Homework 7
Polynomial Regression
1. Simple Polynomial Regression
1. For an example of simple polynomial regression Quarterly establishments QEst (per
1000 people) is selected as x-variable and Average Weekly Wage AWW is s
Baruch College, Fall 2016, 09-06-16
STA 9700 Homework #2
2.1 Looking at Fig. 2.1 in Lecture Notes 2, we see that there is a general rise in the NetWt
of the bags as the Count increases. While the phrase "general rise" is not clearly defined, it is
certain
Baruch College, 11-15-16
STA 9700: Homework 8
Model Selection
1. Best Subsets Model Selection
(a) The Matrix Scatterplot of Original Data
(b) There are numerous observations that could be made from reviewing above illustrated
graphs but the most eye-catch
Baruch College
STA 9700: Homework 6
The Matrix Approach to Regression
1. Simple Linear Regression in Matrix Terms
a)
Bronx County
Kings County
Queens County
Westchester County
Albany County
Nassau County
Suffolk County
Erie County
1
1
1
1
1
1
1
1
X Quarte
Question 1
1 / 1 pts
You get a 25-year loan of $150,000 with an 8% annual
interest rate. What are the annual payments?
(Enter your answer as a whole (rounded if needed) number
without the dollar sign or comma. Remember Canvas will
add zeroes.)
Question 2
Question 1
1 / 1 pts
The expected return on an investment is:
equal to the required return
less than the required return
equivalent to the actual return
the mean of the distribution of possible returns
Question 2
1 / 1 pts
In terms of risk, labor union di
Question 1
1 / 1 pts
Which of the following methods would NOT result in a
reduction of business risk?
reduce sales volatility
increase fixed operating costs
reduce operating leverage
diversify
Question 2
1 / 1 pts
Which of the following statements is (are
Chapter 1: Principles of Underwriting
Term:
Loss rate- a loss rate that insurer can predict by using Law of large number to
predict on a larger scale the probability of loss.
Mortality: death
Mortality rate: rate death occurs in specific group in a period
Robert A. Jackson
Florida State University
Meredith A. Newman
University of Illinois at Springfield
Sexual Harassment in the Federal Workplace
Revisited: Influences on Sexual Harassment
by Gender
Using data from the U.S. Merit Systems Protection Boards mo
Chapter 3:
Displaying and Describing
Quantitative Data
3.1 Displaying Distributions: Histograms
3.2 Shape: Mode, Symmetry and Outliers
3.3 Center: Mean and Median
3.4 - 3.5 Spread of the Distribution: Range, Interquartile Range,
Variance and Standard
Chapter 2:
Displaying and Describing
Categorical Data
2.0 The Three Rules of Data Analysis
2.1 Frequency Tables
2.2 Charts (Bar charts and Pie charts)
STA 2000, Lecture Notes by Junyi Zhang,
Zicklin School of Business
Why we need visualization?
Reveal thi
Chapter 4:
Correlation and Linear Regression
4.1-4.6 and 4.9:
Scatterplots,
Dependent and Independent Variables, Correlation
Coefficients,
Lurking Variables and Causation,
Least Square Fit (regression line),
Coefficient of Determination
STA 2000, Lecture
Chapter 1:
Data and Decisions
1.1 What is Statistics?
2.1 What are Data?
2.2 Variable Types
STA 2000, Lecture Notes by Junyi Zhang,
Zicklin School of Business
What is 'Statistics'?
There are tons of statistics in everyday life,
e.g., chance of precipit
Foundations of Business Statistics
Materials from Professor Friedman
REGRESSION EXAMPLES USING EXCEL
Before using MS Excel, you should know the following:
df is degrees of freedom
SS is sum of squares
MS is mean square (SS divided by its degrees of freedo
Foundations of Business Statistics Professor Fluture
Materials from Professor Friedman
REGRESSION
First Let's Review: How to Graph a Straight Line
This review is for those who forgot how to graph a straight line. To graph a straight line you need to
know
(Correlation) Regression Interpretation
r correlation coefficient
The correlation coefficient measures the strength and direction of a linear relationship between two
variables.
If there is a strong positive linear relationship between the variables the v
Foundations of Business Statistics Professor Fluture
Materials from Professor Friedman
Regression and Correlation
Summary of Steps
1- You are given data for Xi (independent variable) and Yi (dependent variable).
Calculate: Yi
Xi
XiYi
Xi2
Yi2
2- Calculate
The School of Professional Studies
Online BS in Business
BUS 310: Foundations of Business Statistics
Final Examination FL11
Professor Simina Fluture, PhD.
Name:
Email:
I assert that I am the individual whose name appears above and am both registered for t