• Shuffle
    Toggle On
    Toggle Off
  • Alphabetize
    Toggle On
    Toggle Off
  • Front First
    Toggle On
    Toggle Off
  • Both Sides
    Toggle On
    Toggle Off
  • Read
    Toggle On
    Toggle Off
Reading...
Front

Card Range To Study

through

image

Play button

image

Play button

image

Progress

1/18

Click to flip

Use LEFT and RIGHT arrow keys to navigate between flashcards;

Use UP and DOWN arrow keys to flip the card;

H to show hint;

A reads text to speech;

18 Cards in this Set

  • Front
  • Back

Uses of Statistics

One of the tools used to make decisions in business. We apply statistical concepts in our lives. A student of business or economics, basic knowledge and skills to organize,analyze, and transform data and to present the information.

STATISTICS:

It is the science of collecting, organizing, presenting, analyzing, and interpreting data to assist in making more effective decisions.

Types of Statistics

Descriptive Statistics


Inferential Statistics

Descriptive Statistics

methods of organizing, summarizing,and presenting data in an informative way

Inferential Statistics

A decision, estimate, prediction, orgeneralization about a population, based on a sample.

Population

A population is the entire set of individuals orobjects of interest, or the measurements obtained from all individuals orobjects of interest.

sample

A sample isa portion, or part,of the population of interest

Types of Variables

Qualitative


Quantitative variable

Qualitative or attribute variable

the characteristic being studied is non-numeric

Quantitative variable

informationis reported numerically.

Quantitative Variables - Classifications

discreteor continuous.

Discrete

can only assume certain values, and there are usually "gaps" between values

Continuous Variable

can assumeany value within a specified range.

FourLevels of Measurement

Nominal level


Interval level


Ordinal level


Ratio level

Nominal Level

data that is classified into categoriesand cannot be arranged in any particular order.




1.Observations of a qualitative variable can only be classified and counted.




2. Thereis noparticular order to the labels

Ordinal level

data arranged in some order, but the differences between data values cannot be determined or are meaningless.


1.Data classifications are represented by sets of labels or names (high, medium, low)that have relative values.


2.Because of the relative values, the data classified can be ranked or ordered.

Interval level

similar to the ordinal level, withthe additional property that meaningful amounts of differences between datavalues can be determined. There is no natural zero point


1.Dataclassifications are ordered according to the amount of the characteristic theypossess.


2.Equaldifferences in the characteristic are represented by equal differences in themeasurements.

Ratio level

the interval level with an inherent zerostarting point. Differences and ratiosare meaningful for this level of measurement.