Docsity
Docsity

Prepare for your exams
Prepare for your exams

Study with the several resources on Docsity


Earn points to download
Earn points to download

Earn points by helping other students or get them with a premium plan


Guidelines and tips
Guidelines and tips

Statistics MArio F Triola Eleventh edition, Slides of Statistics

Statistics MArio F Triola Eleventh edition for your course. Maybe the next chapter will be uploaded soon, thank you

Typology: Slides

2017/2018

Uploaded on 10/12/2018

mahdi-hanafiya
mahdi-hanafiya 🇮🇩

1 document

1 / 77

Toggle sidebar

This page cannot be seen from the preview

Don't miss anything!

bg1
1.1 - 1
Copyright © 2010, 2007, 2004 Pearson Education, Inc. All Rights Reserved.
Lecture Slides
Elementary Statistics
Eleventh Edition
and the Triola Statistics Series
by Mario F. Triola
pf3
pf4
pf5
pf8
pf9
pfa
pfd
pfe
pff
pf12
pf13
pf14
pf15
pf16
pf17
pf18
pf19
pf1a
pf1b
pf1c
pf1d
pf1e
pf1f
pf20
pf21
pf22
pf23
pf24
pf25
pf26
pf27
pf28
pf29
pf2a
pf2b
pf2c
pf2d
pf2e
pf2f
pf30
pf31
pf32
pf33
pf34
pf35
pf36
pf37
pf38
pf39
pf3a
pf3b
pf3c
pf3d
pf3e
pf3f
pf40
pf41
pf42
pf43
pf44
pf45
pf46
pf47
pf48
pf49
pf4a
pf4b
pf4c
pf4d

Partial preview of the text

Download Statistics MArio F Triola Eleventh edition and more Slides Statistics in PDF only on Docsity!

Lecture Slides

Elementary Statistics

Eleventh Edition

and the Triola Statistics Series by Mario F. Triola

Chapter 1

Introduction to Statistics

1-1 Review and Preview 1-2 Statistical Thinking 1-3 Types of Data 1-4 Critical Thinking 1-5 Collecting Sample Data

Preview

Polls, studies, surveys and other data collecting tools collect data from a small part of a larger group so that we can learn something about the larger group. This is a common and important goal of statistics: Learn about a large group by examining data from some of its members.

Preview

In this context, the terms sample and population have special meaning. Formal definitions for these and other basic terms will be given here. In this section we will look at some of the ways to describe data.

 Statistics

is the science of planning studies and experiments, obtaining data, and then organizing, summarizing, presenting, analyzing, interpreting, and drawing conclusions based on the data

Statistics

Population

Population

the complete collection of all individuals (scores, people, measurements, and so on) to be studied; the collection is complete in the sense that it includes all of the individuals to be studied

Chapter Key Concepts

 (^) Sample data must be collected in an appropriate way, such as through a process of random selection.  (^) If sample data are not collected in an appropriate way, the data may be so completely useless that no amount of statistical torturing can salvage them.

Section 1-

Statistical Thinking

 (^) Context of the data  (^) Source of the data  (^) Sampling method  (^) Conclusions  (^) Practical implications

Key Concept (continued)

Context

 (^) What do the values represent?  (^) Where did the data come from?  (^) Why were they collected?  (^) An understanding of the context will directly affect the statistical procedure used.

Sampling Method

 (^) Does the method chosen greatly influence the validity of the conclusion?  (^) Voluntary response (or self-selected) samples often have bias (those with special interest are more likely to participate). These samples’ results are not necessarily valid.  (^) Other methods are more likely to produce good results.

Conclusions

 (^) Make statements that are clear to those without an understanding of statistics and its terminology.  (^) Avoid making statements not justified by the statistical analysis.

Statistical Significance

 (^) Consider the likelihood of getting the results by chance.  (^) If results could easily occur by chance, then they are not statistically significant.  (^) If the likelihood of getting the results is so small, then the results are statistically significant.

Section 1-

Types of Data