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25 Cards in this Set

  • Front
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Descriptive Statistics Organize Data for?
-Show the general shape of the data
- Show where the values tend to concentrate
-Expose extreme or unusual data values
Simple Random Sampling
-a sample selected so that each item or person in the population has the same chance of being included
-most widely used type of sampling
-Ex. Place names in a box
- use a table of random numbers
Systematic Random Sampling
a random starting point is selected and then every kth member of the population is selected
-Used to sample from lists
Ex: Pulling from a hat
-Does not always satisfy definition of random sampling
Stratified Random Sampling
a population is divided into subgroups, called starta and a sample is randomly selected from each stratum
-Used when population can be clearly divided into groups
-Reflect the characteristics of a the population than a simple random sample
Cluster Sampling
-a population is divided into clusters using naturally occuring geographic or other boundaries. Clusters are then randomly selected and a sample is collected by randomly selecting from each cluster
-Used to reduce the cost of sampling when the population is scattered over a large geographic area
Ex: Different types of advertisers
Frequency Table
a grouping of qualitative data into mutually exclusive classes showing the number of observations in a class
Equivalence Class
a single value, a collection of values, or a qualitative category that is used to organize data into a logical fashion
-Some classes may contain no values
Class Frequency
Number of observations in each class
Relative Frequency
Fraction of the total number of observations in each class
-the sum of the relative frequencies is always 100 percent
Bar Chart
a. The height of each bar represents the frequency of a certain class

b. The horizontal axis is called the x-axis or abscissa

c. The vertical axis is called the y-axis or ordinate

d. The point at which the vertical axis and horizontal axis intercept is the origin

e. A space exists between the bars
Ungrouped frequency table
A frequency table where each of the class intervals is a single value
-Used for quantitative data
Histogram
-A graph of quantitative data in which the classes are marked on the horizontal axis and the class frequencies are marked on the vertical axis
- The class frequencies are represented by the heights of the bars
- The bars are drawn adjacent to each other
- Quantitative data can be continuous
- Adjacent bars show continuous nature of data
- Similar to a bar graph but used for quantitative data rather than qualitative data
Difference between a Histogram and a Bar Chart
Histogram:
-Used with quantitative data
-Bars touch

Bar graph:
- Used with qualitative data
-Bars do not touch
Mesokurtic
-Normal Distribution
-Bell Shaped Curve
-Symmetric
Phtykertic
-Flatter than normal distribution
Lyptokurtic
Skinner than normal distribution
Negatively Skewed
Mean < Medain
Positively Skewed
Median < Mean
Bimodal
Two Bumps
Multimodal
Three or more bumps
J- Shaped
increasing frequency at an increasing rate(no Hump)
U Shaped
increasing then decreasing frequency
Rectangular
each class interval has the same frequency
Frequency Polygon
- A graph of quantitative data in which line segments connect the points formed by the intersection of the class midpoints and relative class frequencies

- Error in book: Frequency polygons uses frequencies
- Frequency polygons are most commonly used with relative frequencies
Cumulative Frequency Polygon
- A graph of quantitative data in which the classes are marked on the horizontal axis and the cumulative relative frequencies are marked on the vertical axis

- If the cumulative frequency polygon is continuous than it is called an ogive