Chapter 4 - Statistics Flashcards
The collection, tabulation, analysis, interpretation, and presentation of numerical data
Statistics
The Five Aspects of Statistics
Collection, tabulation, analysis, interpretation, and presentation
A collection of all possible elements, values, or items associated with a situation
Population
A subset of elements or measurements taken from a population
Sample
A sample will represent the population of it is
Random and Unbiased
Each item in the population had the same opportunity to be selected
Random Sample
Two types of statistics
Deductive (descriptive) and Inductive
Describes a population or complete group of data
Deductive (descriptive) Statistics
Deals with a limited amount of data or a representative sample of the population
Inductive Statistics
Two types of numerical data
Continuous and Discrete
Those quality characteristics that can be measured
Variables Data
Those quality characteristics that are observed to be either present or absent, conforming or non-conforming
Attribute Data
The measured value can take on any value within a range
Continuous Data
Will be countable using whole numbers
Discrete Data
Easily recognized because when viewed, it appears that the data are without order
Ungrouped Data
Grouped together on the basis of when the values were taken or observed
Grouped Data
Considered to be the difference between a value measured and the true value
Measurement Error
Shows the number of times each of the measured values occurred when the data were collected.
Frequency Diagram
Difference between histogram and frequency diagram
Data is grouped into cells on a histogram
Refers to the form that the values of the measurable characteristics take on when plotted or graphed.
Shape
Lack of symmetry
Skewness
Peakedness of the data
Kurtosis
Number of peaks in the data
Modes
Two halves are mirror images of each other
Symmetrical
