Exst 2201 Test 1

Front 1

Statistics Definition

Back 1

1) Collecting Data
2) Organizing Data
3) Summarizing Data
4) Analyzing Data

Front 2

Areas of Statistics

Back 2

1) Sampling Statistics- Collecting
2) Descriptive Statistics- Organizing & Summarizing
3) Inferential Statistics- Analyzing
4) Statistical Methods- Combinations of descriptive and inferential

Front 3

Basic Sampling Techniques

Back 3

1) Simple Random Sample
2) Stratified Sample
3) Systematic Sample
4) Cluster Sample

Front 4

Classes of Data

Back 4

1) Constant
2) Variable
3) Random Variable

Front 5

Types of Data

Back 5

1) Qualitative
2) Quantitative { Discrete & Continuous

Front 6

Identifying Type of Data

Back 6

1) Pick two data points
2) Can they be ordered (Quan vs Qual)
3) Countable number between variables (Cont vs. Dis)

Front 7

Types of Studies

Back 7

1) Census
2) Observational
3) Experimental Design { Independent & Dependent

Front 8

Qualitative Graph Types

Back 8

1) Bar Chart
2) Pareto Chart
3) Pie Chart

Front 9

Frequency Table Columns

Back 9

1) Category
2) Frequency
3) Relative Frequency
4) Cumulative Frequency
5) Cumulative Relative Frequency

Front 10

Distribution

Back 10

1) Shape (i.e. normal)
2) Location (i.e. average)
3) Spread (i.e. standard deviation)

Front 11

Grouping Continuous Data into Classes

Back 11

1) Decide on the number of intervals (5-20)
2) Find the width of each intervals (range/# of int)
3) Select the starting point (usually the min)
4) Make remaining intervals equidistant from starting point with equal width, adjacent, not overlapping, convenient end points

Front 12

Graphing data methods for Discrete Data

Back 12

1) Frequency Table
2) Histogram

Front 13

Graphing data methods for Continuous Data

Back 13

1) Frequency Table
2) Histogram
3) Stem-and-Leaf Plot

Front 14

Distribution Shapes

Back 14

1) Symmetric
2) Skewed Left
3) Skewed Right
4) Uniform
5) Bimodal

Front 15

Location Summary Numbers

Back 15

1) Mean
2) Median
3) Mode

Front 16

Spread Summary Numbers

Back 16

1) Range
2) Variance
3) Standard Deviation

Front 17

Association Summary Numbers

Back 17

1) Correlation
2) Least-squares regression

Front 18

Adv/Disadv of Mean

Back 18

Adv: Easy to understand; useful for all data
Dis: Not resitant

Front 19

Adv/Disadv of Median

Back 19

Adv: Resistant
Dis: Only uses position data

Front 20

Adv/Disadv of Mode

Back 20

Adv: Easy to find
Dis: Not unique/only uses part of data

Front 21

Adv/Disadv of Range

Back 21

Adv: Easy to calculate
Dis: Not resistant

Front 22

Adv/Disadv of Interquartile Range

Back 22

Adv: Resistant version of range
Dis: Only gives spread of middle 50%

Front 23

Adv/Disadv of Variance

Back 23

Adv: The best estimator of spread
Dis: Uses different units of measure than the mean