Statistics 2

40問 • 1年前

問題一覧

These go from lowest level to highest level. Data is classified according to the highest level which it fits. Each additional level adds something the previous level didn't have.

Levels of Measurement

It is the lowest level. It possess the property of identity. Only names are meaningful here.

Nominal level of measurement

Adds an order to the names. It posses both property of identity and order.

Ordinal level of measurement

Adds meaningful differences. It possess the property of identity, order and equality of scale

Interval level of measurement

Adds a zero so that ratios are meaningful. It possess the properties of identity, order, equality of scale and absolute zero.

Ratio level of measurement

THREE METHODS OF PRESENTING DATA:

Textual presentation, Tabular presentation, and Graphical presentation

Presenting data in the form of words, sentences and paragraphs. The opposite of graphical presentation of data.

Textual Presentation

Typically a cross tabulation.

Tabular Presentation

5 parts of a table

table number, title, heading, body, and footnote

Represents a highly developed body of techniques for elucidating, interpreting, and analyzing numerical facts by means of points, imes areas, and other geometric forms and symbors

Graphical Presentation

Some of the various types of graphical representation include:

Line Graphs, Bar Graphs, Line Plot, Stem and leaf plot, Pictograph, Box and whisker chart, and Circle Graph

Grouping of all observations into interval or classes together with a count of number of observations that fall in each interval or class.

Frequency Distribution

It is the class midpoint of an interval.

Class marks

It is computed by adding the lower limit and upper limit and dividing the resulting sum by 2.

Class marks

The accuracy of a raw data.

Class boundary

It is computed by subtracting 1/2 unit from the lower limit and add the ½ unit in the upper limit.

Class boundary

It is the total frequency of each interval. It is computed by adding the frequency of each interval.

Cumulative frequency

It is the percentage frequency.

Relative frequency

It is computed by dividing the frequency of each interval by the total frequency

Relative Frequency

When data are collected in original form, they are called

raw data

Have not been summarized in any way

Ungrouped data

Have been organized into a frequency distribution.

Grouped data

Any value(s) or measure(s) obtained from a sample.

Statistics

Any value(s) or measure(s) obtained from a specific population.

Parameter

The three most common measures of central tendency are the

mean, the median, and the mode

The most common measure of central tendency. It is simply the sum of the numbers divided by the number of numbers in a set of data. This is also known as average.

Mean

It is the number present in the middle when the numbers in a set of data are arranged in ascending or descending order.

Median

It is the value that occurs most frequently in a set of data.

Mode

It is the spread or scatter of values from the Measure of Central Tendency

Dispersion

It is defined as difference between extreme value in the distribution

Range

___ as measures be evaluated by a set of data from the mean that is, how far the of spread, the variance can observations deviate from the mean. This deviation can be both positive and negative, so we need to square these values to ensure and negative values do not simply cancel each other out when we add up all the deviations.

The variance and standard deviation

It is positive square root of variance.

Standard deviation

These are the points which divide the set of observations into one hundred equal parts.

Percentiles

There are the partition values which divides the set of observations into ten equal parts.

Deciles

It is the number that divides the data series into two equal parts.

Median

Measure how spread out a set of data is. The measures of dispersion determine how far the values of the distribution are from the center.

Measures of dispersion

It is the arithmetic mean of the squared deviations from the mean.

Variance

The 99 values of the variable that divide an ordered data set into 100 equal parts.

Percentiles

The nine values of the variable that divide an ordered dataset into ten equal parts.

Decile

The three values of the variable that divide an ordered dataset into four equal parts.

Quartiles

SW7 - Midterm (Stages and Models of Policy Formulation/Making)

ユーザ名非公開 · 83問 · 1年前

SW7 - Midterm (Stages and Models of Policy Formulation/Making)

SW10 - Midterm

SW10 - Midterm

SW11 - Midterm

SW11 - Midterm

SW 9

SW 9

SW 9 - 2

SW 9 - 2

SW9 Report

SW9 Report

Statistics

Statistics

SW 11 - 1

SW 11 - 1

SW 11 - 2

SW 11 - 2

SW 10 - Casework 1

SW 10 - Casework 1

SW 10 - Casework 2

SW 10 - Casework 2

SW 7

SW 7

SW 7 - Report

SW 7 - Report

問題一覧

These go from lowest level to highest level. Data is classified according to the highest level which it fits. Each additional level adds something the previous level didn't have.

Levels of Measurement

It is the lowest level. It possess the property of identity. Only names are meaningful here.

Nominal level of measurement

Adds an order to the names. It posses both property of identity and order.

Ordinal level of measurement

Adds meaningful differences. It possess the property of identity, order and equality of scale

Interval level of measurement

Adds a zero so that ratios are meaningful. It possess the properties of identity, order, equality of scale and absolute zero.

Ratio level of measurement

THREE METHODS OF PRESENTING DATA:

Textual presentation, Tabular presentation, and Graphical presentation

Presenting data in the form of words, sentences and paragraphs. The opposite of graphical presentation of data.

Textual Presentation

Typically a cross tabulation.

Tabular Presentation

5 parts of a table

table number, title, heading, body, and footnote

Represents a highly developed body of techniques for elucidating, interpreting, and analyzing numerical facts by means of points, imes areas, and other geometric forms and symbors

Graphical Presentation

Some of the various types of graphical representation include:

Line Graphs, Bar Graphs, Line Plot, Stem and leaf plot, Pictograph, Box and whisker chart, and Circle Graph

Grouping of all observations into interval or classes together with a count of number of observations that fall in each interval or class.

Frequency Distribution

It is the class midpoint of an interval.

Class marks

It is computed by adding the lower limit and upper limit and dividing the resulting sum by 2.

Class marks

The accuracy of a raw data.

Class boundary

It is computed by subtracting 1/2 unit from the lower limit and add the ½ unit in the upper limit.

Class boundary

It is the total frequency of each interval. It is computed by adding the frequency of each interval.

Cumulative frequency

It is the percentage frequency.

Relative frequency

It is computed by dividing the frequency of each interval by the total frequency

Relative Frequency

When data are collected in original form, they are called

raw data

Have not been summarized in any way

Ungrouped data

Have been organized into a frequency distribution.

Grouped data

Any value(s) or measure(s) obtained from a sample.

Statistics

Any value(s) or measure(s) obtained from a specific population.

Parameter

The three most common measures of central tendency are the

mean, the median, and the mode

The most common measure of central tendency. It is simply the sum of the numbers divided by the number of numbers in a set of data. This is also known as average.

Mean

It is the number present in the middle when the numbers in a set of data are arranged in ascending or descending order.

Median

It is the value that occurs most frequently in a set of data.

Mode

It is the spread or scatter of values from the Measure of Central Tendency

Dispersion

It is defined as difference between extreme value in the distribution

Range

The variance and standard deviation

It is positive square root of variance.

Standard deviation

These are the points which divide the set of observations into one hundred equal parts.

Percentiles

There are the partition values which divides the set of observations into ten equal parts.

Deciles

It is the number that divides the data series into two equal parts.

Median

Measure how spread out a set of data is. The measures of dispersion determine how far the values of the distribution are from the center.

Measures of dispersion

It is the arithmetic mean of the squared deviations from the mean.

Variance

The 99 values of the variable that divide an ordered data set into 100 equal parts.

Percentiles

The nine values of the variable that divide an ordered dataset into ten equal parts.

Decile

The three values of the variable that divide an ordered dataset into four equal parts.

Quartiles