1st lecture Flashcards
Types of varial
Qualitative and Quantitative Variables
A tool that helps us develop general and meaningful conclusions that go beyond the original data.
Statistics
Deals with the methods of organizing, presenting and summarizing a mass of data
Descriptive statistics
Is a set of all individuals or entities under consideration or study
Population
Consists of categories or attributes, which have non-numerical characteristics
Qualitative variable
Classification of quantitative variable
Discrete and continuous variable
Like the ordinal level, with the additional property that meaningful amounts of differences between data can be determined. However there is no inherent zero starting point
Interval
It is a characteristic of interes
Variable
Results from either a finite number of possible values
Discrete Quantitative variable
Is a part of the population or a sub collection of elements drawn from a population
Sample
Consists of numbers representing counts or measurements
Quantitative variable
It is often conducted to gather opinions or feedback about a variety of topic
Survey
It involves data that nay be arranged in dome order but differences between data values either cannot be determined or are meaningless
Ordinal
Nature of statistics
Descriptive and inferential statistics
Status
State
It is a numerical measurement describing some characteristics of a population
Parameter
Gathering information only from part of the population
Sampling survey
Levels of measurements
Nominal, ordinal, interval, ratio
Is the interval level modified to include the inherent zero starting point. For values at this level, differences and ratios are meaningful
Ratio
It is characterized by data that consists of names labels or categories
Nominal
Results from infinitely many possible values
Continuous Quantitative Variable
Getting of information from the entire population
Census Survey
Deals with making generalizations about a body of data where only a part of it is examined
Inferential stattistica
