Chapter 2 Descriptive Statistics Pdf Mean Median Copyright © 1998, triola, elementary statistics addison wesley longman 2 descriptive statistics summarizes or describes the important characteristics of a known set of population data inferential statistics uses sample data to make inferences about a population 2 1 overview. 14 chapter 2 chapter 2: descriptive statistics prerequisite: chapter 1 2.1 review of univariate statistics the central tendency of a more or less symmetric distribution of a set of interval, or higher, scaled scores, is often summarized by the arithmetic mean, which is defined as = ∑ n i xi n 1 x . (2.1).
2 Descriptive Statistics Pdf Variance Median Chapter 2: descriptive statistics a. an estimated 99.73% tolerance interval is . x s [ 3 ] [3.0028 3(.01437)] [2.96,3.046] . the process is not capable of meeting specifications of 3.00 ± .03, that is, 2.97 to 3.03. the estimated 99.73% tolerance interval extends beyond the specifications which says. Title: microsoft word excel guides ch.2 &ch.3 author: kids created date: 10 20 2020 4:32:10 pm. This chapter shows the statistical methods that can be used to summarize (describe) a data set. we will learn how to calculate and interpret the descriptive measures [that is, the value(s) which are used to describe a data set] such as measures of center, measures of variation, and measures of position. Frequency distribution – tabular summary of data showing the number of items that appear in non overlapping classes. should have 5 20 classes. each class should be the same width. class width = difference between lower limits of consecutive classes.
Lesson 2 1 Descriptive Statistics Pdf This chapter shows the statistical methods that can be used to summarize (describe) a data set. we will learn how to calculate and interpret the descriptive measures [that is, the value(s) which are used to describe a data set] such as measures of center, measures of variation, and measures of position. Frequency distribution – tabular summary of data showing the number of items that appear in non overlapping classes. should have 5 20 classes. each class should be the same width. class width = difference between lower limits of consecutive classes. Chapter 2 (part 2): descriptive statistics by: chuan zun liang ocw.ump.edu.my course view ?id=455 content 2.1 •data organisation and frequency distribution 2.2 •types of graph 2.3 •summary statistics (data description) 2.4 •explorotary data analysis. As you work through chapter 2, you will begin to learn how to organize and summarize data into graphical displays and numer ical statistics in order to accurately and appropriately describe data. In this chapter, you will study numerical and graphical ways to describe and display your data. this area of statistics is called "descriptive statistics." you will learn how to calculate, and even more importantly, how to interpret these measurements and graphs. Lecture 1: descriptive statistics we begin with a discussion on desciptive statistics, which will be followed later in the course by inferential statistics. descriptive statistics generally fall into one of two categories: 1 measures of location or central tendency 2 measures of dispersion or variability measures of location arithmetic mean.