21
Statisti Organizi the Data 11420149 11420207 11420320 11420292 11420215 asmita Jati Bob Septian Nidia Novi Dwi P Fairus M. Zuhri

Organizing The Data

Embed Size (px)

DESCRIPTION

This is my presentation in my Statistic Class, entitled "Organizing The Data". It contains 'Frequency distributions of nominal data and Comparing Distribution', proportion, percentile ranks, and so on.

Citation preview

Page 1: Organizing The Data

Statistics

Organizing the Data

11420149114202071142032011420292

11420215

Sasmita JatiBob Septian

NidiaNovi Dwi P

FairusM. Zuhri

Page 2: Organizing The Data

Frequency distributions of nominal data and

Comparing Distribution

Page 3: Organizing The Data

Frequency distributions of nominal data

The researchers-aided by ‘recipes’ called formulas

and statistical techniques - attempts to transform raw

data into a meaningful and organized set of

measures that can be used to test hypotheses.

Page 4: Organizing The Data

Constructing a frequency distribution in

the form of a table is the first researcher’s

step to organize the jumble of raw

numbers that they collect from their

subject.

Page 5: Organizing The Data

Table 2.1 Respnses of young boys to removal of toy

Response of child F Cry 25 Express anger 15 Withdraw 5 Play with another toy 5 N = 50

Page 6: Organizing The Data

Comparing DistributionMaking comparisons between frequency distributions is a

procedure often used to clarify results and add information.

The particular comparison a researcher makes is to determined

by the question he or she seeks to answer.

Page 7: Organizing The Data

Table 2.2 Response to removal of toy by gender of child

Response of child Gender of child male female

Cry 25 28 Express anger 15 3 Withdraw 5 4 Play with another toy 5 15

Total 50 50

Page 8: Organizing The Data

Proportions and PercentagesThe proportion compares the number of cases in a given category with the total size of the distribution.

P P : Proportionf : the number of case

N : Total case in distribution

Page 9: Organizing The Data

Percentage

To calculate percentage, we simply multiply any given proportion by 100.

%

Page 10: Organizing The Data

Percentile

Ranks

Page 11: Organizing The Data

Find the percentile rank for a score of 92 in the following score distribution !

Class Interval f % cf c%

90-99 6 12.24 49 100

80-89 8 16.33 43 87.76

70-79 12 24.49 35 71.43

60-69 10 20.41 23 46.94

50-59 7 14.29 13 26.53

40-49 6 12.24 6 12.24

N 49 100

Page 12: Organizing The Data

1st

StepClass Interval f % cf c%

90-99 6 12.24 49 100

80-89 8 16.33 43 87.76

70-79 12 24.49 35 71.43

60-69 10 20.41 23 46.94

50-59 7 14.29 13 26.53

40-49 6 12.24 6 12.24

N 49 100

Finding Critical Interval

Critical interval is the interval in which the data you want to find its percentile ranks is exist.

9290-91-92-93-94-95-96-97-

98-99

Page 13: Organizing The Data

2nd

StepClass Interval f % cf c%

90-99 6 12.24 49 100

80-89 8 16.33 43 87.76

70-79 12 24.49 35 71.43

60-69 10 20.41 23 46.94

50-59 7 14.29 13 26.53

40-49 6 12.24 6 12.24

N 49 100

Finding The lower limit of Critical Interval

• “…class limits are located at the point halfway between adjacent class intervals..”

89.590 – 0.5 =

Page 14: Organizing The Data

3rd Step

Class Interval f % cf c%

90-99 6 12.24 49 100

80-89 8 16.33 43 87.76

70-79 12 24.49 35 71.43

60-69 10 20.41 23 46.94

50-59 7 14.29 13 26.53

40-49 6 12.24 6 12.24

N 49 100

Finding The Size of Critical Interval

1090-91-92-93-94-95-96-97-99

Page 15: Organizing The Data

4th Step

Class Interval f % cf c%

90-99 6 12.24 49 100

80-89 8 16.33 43 87.76

70-79 12 24.49 35 71.43

60-69 10 20.41 23 46.94

50-59 7 14.29 13 26.53

40-49 6 12.24 6 12.24

N 49 100

Finding The percentage within critical interval

%

Page 16: Organizing The Data

5th Step

Class Interval f % cf c%

90-99 6 12.24 49 100

80-89 8 16.33 43 87.76

70-79 12 24.49 35 71.43

60-69 10 20.41 23 46.94

50-59 7 14.29 13 26.53

40-49 6 12.24 6 12.24

N 49 100

The cumulative percentage below critical interval

%

Page 17: Organizing The Data

The cumulative

percentage below

critical interval

89.5

12.26 %

The lower limit of Critical Interval

The Size of Critical Interval 10

The percentage within critical interval

87.76 %

Page 18: Organizing The Data

PR = percentile rank

c%b = cumulative percentage below the lower limit of the critical intervalX = raw score under considerationL = lower limit of the critical intervalI = class interval size% = percentage within critical interval

PR = c%b + %

Page 19: Organizing The Data

PR = percentile rank

c%b = cumulative percentage below the lower limit of the critical intervalX = raw score under considerationL = lower limit of the critical intervalI = class interval size% = percentage within critical interval

87.76 % + (

92 – 89.5

) 10

=90.82

12.26

Page 20: Organizing The Data

90.82WHAT DOES IT

MEAN??

WHAT iS IT

for??

Page 21: Organizing The Data

Percentile Rank

91 - 10081 - 9071 - 8061 - 7051 - 6041 - 5031 - 4021 - 3011 - 201 – 10

Decile

Quartile

76 – 10051 – 75 26 – 50 1 - 25

10th9th8th

7th6th5th4th3rd2nd1st

4th3rd 2nd 1st

Percentile Rank

90.82