Chapter One Introduction to Statistics
Chapter One
Statistics: the science of collecting, organizing, analyzing, and interpreting data in order to make
decision
Section 1.1 An Overview of Statistics
1
Lecture Five (Section 3.3-3.5)
Marginal and Conditional Probabilities
Ex 1: To determine whether its service is satisfactory to its customers, a hotel
surveyed 100 guests (40 females and 60 males). An
Lecture Fifteen
Section 7.3 Hypothesis Tests About a Population Proportion: Large
Samples
p is the population proportion of successes. q=1-p.
Hypothesis:
)
H 0 : p (or = p0
(left-tailed)
H1 : p < p0
Lecture Ten
Sampling Distributions and Central limit theorem:
1.
2.
3.
How to find sampling distributions and verify their properties
How to interpret the Central Limit Theorem
How to apply the Centra
Lecture Nine
Standardizing a Normal Distributions
If a random variable, x is normally distributed, the probability that x will fall within an
interval is equal to the area under the curve in the inter
Lecture Fourteen
Section 7.5 Hypothesis Tests about : Not Known
Conditions:
Case I. 1) The population standard deviation is not know;
2) The sample size is small (i.e. n<30);
3) The population from wh
Lecture One
Chapter One Introduction
Section 1-1 An Overview of Statistics
1. The definition of statistics
2. How to distinguish between a population and a sample and between a parameter and a statist
Lecture Eight
Chapter Five Continuous Random Variables and the Normal
Distribution
In last chapter, we have learned discrete probability distributions. In this chapter we
will continue on continuous p
Lecture Six
Discrete Random Variables and Their Probability Distributions
Section 4-2 Random Variables
Random Variables
Def 1: A random variable x is a variable whose value is determined by the outcom
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Table of Contents
Introduction 2
Learning Styles Inventory.4
Math Study Skills Inventory.6
Unit 1
Getting Organized-Managing Your Time.8
Lecture Thirteen
Chapter Seven Hypothesis Testing about the Mean and Proportion
Section 7.2 Hypothesis Tests: An Introduction
Two Hypotheses
Def 1: 1. A null hypothesis H0 is a claim (or statement) ab
Lecture Seven
Section 4-3 Binomial Probability Distributions
Binomial experiment
Conditions of a Binomial Experiment:
A binomial experiment must satisfy the following four conditions.
1. There are n i
Lecture Sixteen & Seventeen
Chapter Eight Estimation and Hypothesis Testing: Two Populations
The problems for this chapter always contain two populations or two samples.
Section 8.3 Inferences About t
HW2
(a) Let A and B be two independent events. Suppose P(A) =
0.5, and P(B) = 0.3. Find P(AB) and P(A or B) respectively.
D. The z-score of x=0 is zero.
(e) To determine whether consumers favor a new
Chapter 3
Basic Concepts of Probability
3.1. Sample spaces, events, and their probabilities
1.1 Sample spaces and events
Random experiment is an action, or procedure that produce a
definite outcome ca
Chapters 1-2
Introduction to Statistics
An Overview of
Statistics
Statistics
Data consists of information coming from observations,
counts, measurements, or responses.
Statistics is the science of col
Chapter Two
Chapter 2 Descriptive Statistics
Section 1 Three Popular Data Displays
See Lecture 2_opt.pdf
Section 2 Measure of Central Location
Central Location is the characteristic of a frequency dis
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Chapter 4
Discrete Random Variables
4.1 Random Variables (r.v.)
Random variable (X, Y, Z,.) represents a numerical
value associated with each outcome of a random
experiment.
T
Chapter 2
Descriptive Statistics
2.1
Frequency Distributions and
Their Graphs
Frequency Distributions
13 16
9 12
58
Class
14
2
4
3
5
Frequency, f
4
Frequencies
A frequency distribution is a table tha
INTRODUCTORY STATISTICS
7. Give an example of a population and two
different characteristics that may be of
interest. '
8. Describe the difference between
descriptive sta
ChapterOne1. The definition of statistics2. How to distinguish between a population and a sample and between a
parameter and a statistic 3. How to distinguish between descriptive statistics and infere
STAT 1222-090 instructor: Yuehan Shao
Chapter3 Basic Concepts of Probability
Section 3.1 Sample SpacesI Events,' and Their Probability
Obiectives:
- To learn the concept of sample space, events associ
STAT 1222-090 4 Instructor: Yuehan Shao
Chapter 1 Introduction
' Section 1.1 Basic Definitions and Concepts
Obiectives:
Understand the basic definitions used in statistics
. Distinguish between popula
Chapter-2 Descriptive Statistics
Section 2.1: Three Popular Data Displays
I. Stem-and-Leaf Diagram:
Leaf: The rightmost digit (the ones digit) of measurement
Stem:The remaining part of the measurement
Lecture Four
Chapter 4 Probability
Section 4.1 Experiment, Outcomes, and Sample Space
Def 1: An experiment is a process that, when performed, results in one and only one
of many observation. These obs