- 59 Views
- Uploaded on
- Presentation posted in: General

Chapter 2: Organizing Data

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.

- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -

Chapter 2: Organizing Data

Section 2: Frequency Distribution and Histograms

- Lists the number of occurrences for each category of data

- Categories of data created by using
intervals of numbers

- Usually 5 to 15 classes.

The difference between consecutive lower class limits

To find the class width…

1. largest data value – smallest data value

desired number of classes

2. Increase result to next whole number

The smallest value

within the class.

The largest value

within the class .

Upper Class Limit

Lower Class Limit

the relative

frequency is listed,

found by dividing the

frequency (f) of each

class by the sum of all

the frequencies (n).

class frequency (f)

total of all frequencies (n)

- The number halfway between the lower and upper class limits of a class.
To find the class mark…

lower class limit + upper class limit

2

- Histogram- A type of bar graph.
- Horizontal axis represents classes by labeling

the class boundaries

- vertical axis represents frequency or relative

frequency

- no space between bars

· - bars must be the same width

- width of bar represents a quantitative value,

rather than a category

- the halfway point between the upper limit of one class and the lower limit of the next class
- used as endpoints of the bars in a histogram

Three Classes

Fr equency

frequency

Five Classes

TenClasses

F

F

F

F

F

F

F

FFFFFF

- type of line graph, horizontal axis labeled with class marks, vertical axis represents frequencies