Chapter 2 Describing Data Stats Pdf Chapter 2 describing data free download as powerpoint presentation (.ppt .pptx), pdf file (.pdf), text file (.txt) or view presentation slides online. We’ll learn some general lessons about how to graph data that fall into a small number of categories. a later section will consider how to graph numerical data in which each observation is represented by a number in some range.
Data 2 Pdf Once data have been collected, they are typically described via graphical and numeric means. the methods used to describe the data will depend on its type (nominal, ordinal, or numeric). we also need to distinguish whether the data corresponds to a sample or a population. The document covers methods for organizing and presenting data using frequency tables, frequency distributions, and graphic representations such as bar charts and pie charts. Present a frequency table as a bar chart or a pie chart. organize quantitative data into a frequency distribution. present a frequency distribution for quantitative data using histograms, frequency polygons, and cumulative frequency polygons. Before you make a bar chart or a pie chart, always check the categorical data condition: the data are counts or percentages of individuals in non overlapping categories.
Ppt Chapter 2 Describing Data Powerpoint Presentation Free Download Present a frequency table as a bar chart or a pie chart. organize quantitative data into a frequency distribution. present a frequency distribution for quantitative data using histograms, frequency polygons, and cumulative frequency polygons. Before you make a bar chart or a pie chart, always check the categorical data condition: the data are counts or percentages of individuals in non overlapping categories. Chapter 2 – descriptive statistics tabular and graphical presentations frequency distribution – tabular summary of data showing the number of items that appear in non overlapping classes. 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. Data is symmetric if the left half of its histogram is roughly a mirror image of its right half. data is skewed if it is not symmetric and if it extends more to one side than the other. the variance of a set of values is a measure of variation equal to the square of the standard deviation. Are there an equal number of scores from low to high? or are the scores clustered at the low or high end, or more towards the middle? • as one variable changes, how much change can be predicted in a second variable? example: suppose 50 cars are measured for fuel efficiency.
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