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49 Cards in this Set

  • Front
  • Back

Statistics

The art and science if collecting, organizing, presenting, analyzing, and interpreting data.

Statistics

Considered the backbone of research.

Collection


Organization


Presentation


Analysis


Interpretation

5 statistic ***** to deal with data

Statistics

Recorded data such as the number if business permits issued, number of customers eating at a restaurant, the size enrollment at USLS, and so on.

Statistics

Numerical characteristic calculated for a set of data.

Descriptive Statistics

Deals with organizing and summarizing observations so that they are easier to comprehend.

Descriptive Statistics

Used to describe the basic features of the data in a study.

Descriptive Statistics

Provide simple summaries about the sample and the measures.

Inferential Statistics

Deals with the formulation of inferences about conditions that exist in a population from study of a sample drawn from a population.

Inferential Statistics

Make inferences from the data to more general conditions.


Generate conclusions about the population based on sample data.

Specific


Measurable


Attainable


Realistic


Time Bound

Formulation of the problem (5)

Population

All subjects under investigation


The set of all elements of interest in a particular study.

Sample

Subset of population

Variable

Measurable characteristic of the subject

Variable

Any entity that can take on different values.

Constant

Opposite of variable

Central Tendency

General characteristic of the grouo

Variance in the group

How individual members of the group vary from he average characteristic of the group

Difference within the group/ between groups

Whether or not subgroups of the group/ two separate groups being studied are different or similar on certain traits investigated.

Relationship within the group

If relationship between certain variables covered in the study exist

Prediction

Establishing a mathematical/statistical model to predict future outcomes.

Descriptive

Limited to the description of the particular group being studied

Descriptive

A conclusion cannot be applied to cases outside the study group.

Analytic goals

Directed toward finding out from the data one or more of the following attributes if characteristics of the group being studied.

Central Tendency


Variance in the group


Difference within the group/between group


Relationship within the group


Prediction

5 Analytic goals.

Descriptive


Inferential

2 types of analysis

Inferential

Application of the findings or conclusions from a small group to a large group from which the smaller group was drawn.

Qualitative/Categorical


Quantitative Numerical

Two types of variables.

Discrete Variable


Continuous Variable

Two types of quantitative e numerical

Qualitative/Categorical

Attributes are I'm terms of categories.

Quantitative/Numerical

attributes are in terms of counts or measurements.

Discrete Variable

Uses in process of counting to generate data

Discrete Variable

Values of attributes are in terms of whole numbers only.

Continuous Variable

Uses the process of measuring to generate data.

Continuous Variable

Values of attributes may have fractional or decimal parts.

Independent Variable


Dependent Variable

2 functions of variables

Functions of variables

Important if the investigation is about cause and effect.

Independent Variable

What the researcher or nature manipulated.

Dependent Variable

What is affected by the independent variable.

Measurement

Process of assigning numbers to observations.

Nominal Level

Consists of numbers which indicate categories for purely classification or identification purposes.

Exclusive

Observations cannot fall into more than one category.

Exhaustive

There must be enough categories for all observation.

Ordinal level

Possesses rank order characteristics.

Ordinal Level

The categories must still be mutually exclusive and exhaustive but they also indicate the order of magnitude of some variable.

Interval Level

Has all properties of ordinal scale.

Interval Level

A given interval (distance) between scores has the same meaning anywhere on the scale.

Ratio level

Has true absolute point and possesses all the characteristics or the interval scale.

Intervals

Provide information about how much better one value is compared with another.