Chapter 17: Time Series Analysis and Forecasting
Here near the end of the semester well look at a totally new topic, time series analysis
and forecasting. We saw the basic definition of a time series in Chapter 1; it was said
simply that a time series is
Chapter 9: Hypothesis Tests
We are constantly bombarded by quantitative claims in the media. Advertisers make claims
(e.g., 9 out of 10 dentists recommend Crest toothpaste), political candidates make claims
(e.g. most American do/do not want universal hea
Chapter 6: Continuous Probability Distributions
are denoted by (). The PDF describes a curve, and areas underneath the curve
Continuous random variables are described by probability density functions, or PDFs, which
represent probabilities. Since the area
Chapter 5: Discrete Probability Distributions
We continue our study of probability by learning the concepts of random variables and
probability distributions. We will discuss these concepts for both discrete and continuous
quantities. While the new defini
Chapter 8: Interval Estimation
In Chapter 8 we address one major type of statistical inference, the confidence interval.
We will see different forms of confidence intervals for means and proportions under
different assumptions. The general form of a confi
Appendix B Tables
3 CHISQUARE DISTRIBUTION
Area
la
probability
01
. tries in the table give xi values, where a is the area or probability in the upper tail of the chisquare distribution.
Forexample, with 10 degrees of freedom and a .01 area in the
11.1 Inferences about a Population Variance
we see how to conduct inferences about a population variance 2 . To do so, we will need to
There is one more type of test we will cover this semester, and it is from Chapter 11. Here
learn about another type of
Chapter 4: Introduction to Probability
In Chapter 4 we learn to develop our ability to think probabilistically. We will focus on a
number of definitions, then on rules of probability. I believe it helps to think of these
things as tools in a toolbox that
Chapter 3: Descriptive Statistics: Numerical Measures
In Chapter 2 we learned about ways to represent data graphically. Now, in Chapter 3 we
will see how to characterize a dataset more precisely using numerical descriptors.
3.1 Measures of Location
There
Chapter 2: Simpson Paradox
Well focus on a concept called Simpsons Paradox that arises when data in two or
more cross tabulations are combined, or aggregated to produce summary cross tabulations.
Well see that we must be careful when drawing conclusions b
Chapter 1: Data and Statistics
1.1 Statistics
The term statistics can refer to numerical facts such as averages, medians,
percents, and index numbers that help us understand a variety of business and
economic situations.
Statistics can also refer to the
ACMS 10145 Midterm 1
Date: Sowetnlwr l? 2015
Namezlﬂwm if g €325
ND id#:. Ml, . .
Please circle your section:
Huynl’1(9:‘25 am) Huy11h(1()230 am)
Huebner(l1:30 31111) Huolmer(12:50 pm)
Instructions:
0 TO RECEIVE CREDlT YOU MUST SHOW ALL YOUR WORK and W'
ACMS 10145 Midterm 1
Date: September 18, 2014
Name:
ND id#:
Please circle your section:
Huynh(9:25 am) Huynh(IO:30 am)
Huebner( I l :30 am) Huebner<12250 pm)
Chen(8:20 am)
Instructions:
0 TO RECEIVE CREDIT YOU MUST SHOW ALL YOUR WORK and WRITE
NEATLY.
Chapter 2: Descriptive Statistics
Descriptive statistics are meant to provide quick and efficient summaries of data.
Descriptive statistics are usually differentiated from inferential statistics, which will be
the subject of subsequent chapters. As we wil
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Descriptive Statistics
This worksheet calculates descriptive statistics including; average, standard deviation (N and N-1 weighted),
and confidence intervals for a data set.
S.E. Van Bramer, Widener University, Chester PA 19013.
svanbram@science.widener.e
GAUSSIAN.MCD
6/12/97
Properties of a Gaussian Distribution
This worksheet generates a gaussian distribution for a given average and standard deviation.
Average:
0
Standard deviation:
1
Amplitude:
A
1
The equation for a gaussian distribution (with an ampli
COMPAR~1.MCD
6/12/97
Comparative Statistics
This worksheet calculates comparative statistics for two data sets. Includes; average, standard deviation
(N and N-1 weighted), and confidence intervals for each data set, and t-test for comparison of means.
S.E
Economics 30330: Statistics for Economics
Problem Set 4
University of Notre Dame
Instructor: Trung Ly
Fall 2016
Due Date: Beginning of class on Friday, October 14th. Please complete the assignment in the
allotted space. You may work in groups, but you nee
Economics 30330: Statistics for Economics
Problem Set 2
University of Notre Dame
Instructor: Trung Ly
Fall 2016
Due Date: Beginning of class on Friday, September 23. Please complete the assignment in the
allotted space. You may work in groups, but you nee
Economics 30330: Statistics for Economics
Problem Set 3
University of Notre Dame
Instructor: Trung Ly
Fall 2016
Due Date: Beginning of class on Monday, October 3. Please complete the assignment in the
allotted space. You may work in groups, but you need t
Economics 30330: Statistics for Economics
Problem Set 5
University of Notre Dame
Instructor: Trung Ly
Fall 2016
Due Date: Beginning of class on Wednesday, October 26th. Please complete the assignment in
the allotted space. You may work in groups, but you
Calibration Example Problems
This document document provides an example of calibration calculations and error propagation. It preforms a
linear regression analysis on the x, y data set. In addition to the slope and intercept, the regression, slope,
and in
E/CN.3/2016/12
United Nations
Economic and Social Council
Distr.: General
9 December 2015
Original: English
Statistical Commission
Forty-seventh session
8-11 March 2016
Item 3 (h) of the provisional agenda*
Items for discussion and decision: industrial st