One University Avenue
Lowell, Massachusetts 01854
phone:
978.934.2410
Alexander A. Olsen, PhD
fax:
978.934.3053
Professor of
Mathematical Sciences
email: [email protected]
Web site: http:/www.u
Topics for Week 5
92.283
A.A.Olsen
Correlation coefficient (r), coefficient of determination (rsquared), scatterplot, simple
regression analysis, least squaresbest fit line
Correlation and the regre
Topics for Week 3
92.283
A.A.Olsen
Quick Summary notes on Numeric descriptive statistics:
1)
Central tendency
Mean sample is symbol xbar, population symbol is ( mu) ; arithmetic average
found primar
Skewness/Kurtosis
Skewness is the degree of departure from symmetry of a distribution. A
positively skewed distribution has a "tail" which is pulled in the positive
direction; if is a distribution of
92.283 Introduction to Statistics
Exam 2
Name:_Ross Marchegiani_
March 6, 2015
1. A random sample of 1001 University of California faculty members taken in December 1995
was asked, Do you favor or opp
Chapter 17: Tests of Significance: The Basics
Chapter 18: Inference in Practice
In the last lesson, we learnt how to use the sampling distributions of statistics to
approximate the parameters of popul
Chapter 8:
Producing Data: Sampling
Chapter 9:
Producing Data: Experiments
Now that we can describe data with (and interpret data from) distributions, the question
naturally arises: from where do we g
Chapter 4:
Scatterplots and Correlation
Chapter 5:
Regression
Remember that data are the observed values of variables taken by individuals in a
population. Until now, weve been looking at data that co
Chapter 2:
Describing Distributions with Numbers
To further describe quantitative distributions, we can find certain measures, which are
results of functions applied to the data. We represent the numb
Chapter 3:
The Normal Distributions
So far, weve explored categorical and quantitative data and representations of it. This
week, we will continue looking at quantitative data and introduce an importa
Chapter 6:
Two Way Tables
Suppose that we want to compare two categorical variables. If we hope to analyze them
mathematically, we must look at proportions of individuals with pairs of values for the
BASIC STATISTICS
Descriptive Analysis (Graphical)
Dealing with Uncertainty
Everyday decisions are based on incomplete
information
Consider:
Will the job market be strong when I graduate?
Will the pr
Chapter 1
INTRO TO STATISTICS
The term statistics refers to a set of mathematical procedures for organizing,
summarizing, and interpreting information.
Statistics serve to general purposes:
1. Statist

D R H J H M AD I H AH K H AL I D

a Mathematicians need to be clear and concise when
they communicate.
a The language of mathematics is better at
communicating quantitative information than day
STATISTICS
 a branch of mathematics dealing with the collection, analysis, interpretation, and presentation of masses of
numerical data (MerriamWebster)
 branch of mathematics that deals with the e
Introduction to Statistics
STATISTICAL ANALYSIS
Introduction
to
Statistics
Page 1
Objectives
To define statistics
To discuss the wide range of
applications of statistics
To discuss key statistical
STAT 520
SUARAY
Mathematical Statistics Ch4,5 Review
PROBLEM: Let X1,.X n ~ Unif ( , 0), > 0.
A. Find an unbiased estimator for based on Yn = min(X1,.X n ) . Call this estimator
.
1
B. Find a consist