Statistical treatment of data involves applying statistical methods to transform raw data into meaningful outputs. There are two main types: descriptive statistics which describes and summarizes data through tables, charts and graphs; and inferential statistics which tests hypotheses and measures relationships in data. Some common statistical treatments include calculating measures of central tendency (mean, median, mode) and variability (standard deviation, variance), and conducting tests like t-tests, correlation analyses, and ANOVA.

1. STATISTICAL TREATMENT
OF DATA
BY: ROMMEL LUIS C. ISRAEL III
BY: ROMMEL LUIS C. ISRAEL III
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2. WHAT IS STATISTICAL
TREATMENT?
Statistical Treatment is when you
apply a statistical method to a
data set to draw meaning from
it. Moreover, it can be either:
BY: ROMMEL LUIS C. ISRAEL III
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3. WHAT IS STATISTICAL TREATMENT?
a.) Descriptive Statistics – it is used to
describe the features of data and shows or
summarizes the data in the form of tables,
charts and graphs; or
b.) Inferential Statistics – which tests a
hypothesis by making inferences from the data
collected and measures the relationship of the
data.
BY: ROMMEL LUIS C. ISRAEL III
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4. Statistical
treatment of data is
when you apply some
form of statistical
methods set to
transform a raw data
into a meaningful
output.
STATISTICAL
TREATMENT
OF DATA
BY: ROMMEL LUIS C. ISRAEL III
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5. STATISTICAL TREATMENTS OR
METHODS
1. Descriptive Statistics
Measure of Central Tendency
Mean, Median and Mode
Frequency and Percentage
BY: ROMMEL LUIS C. ISRAEL III
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6. STATISTICAL TREATMENTS OR
METHODS
1. Descriptive Statistics
Measure of Variability
a. Standard Deviation
b. Variance
c. Range
BY: ROMMEL LUIS C. ISRAEL III
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7. STATISTICAL TREATMENTS OR
METHODS
2. Inferential Statistics
Parametric
a. T-test
b. Pearson’s Correlation
c. ANOVA
BY: ROMMEL LUIS C. ISRAEL III
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8. DESCRIPTIVE STATISTICS
Measure of Central Tendency
It is a single value that attempts
describe a set of data by identifying
the middle or central position within
that set of data.
BY: ROMMEL LUIS C. ISRAEL III
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9. DESCRIPTIVE STATISTICS
Measure of Central Tendency
Mean – the arithmetic average of the
distribution
Median – the middle value that separates
the higher value and the lower
value equally.
Mode – most commonly occurring value
in
a distribution.
BY: ROMMEL LUIS C. ISRAEL III
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10. DESCRIPTIVE STATISTICS
Measure of Central Tendency
Mean – it is a mathematical
representation of the typical
value of a series of numbers,
computed as the sum of all
numbers in the series divided
by the count of all numbers in the
series.
BY: ROMMEL LUIS C. ISRAEL III
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11. DESCRIPTIVE STATISTICS
Measure of Central Tendency
BY: ROMMEL LUIS C. ISRAEL III
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12. DESCRIPTIVE STATISTICS
Measure of Central Tendency
Mean: Assumptions that needs to be satisfied:
1. The measurement scale of the variable is at least
interval.
2. The data should be approximately normally
distributed.
3. The data should not contain significant outlier.
BY: ROMMEL LUIS C. ISRAEL III
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13. DESCRIPTIVE STATISTICS
Measure of Central Tendency
Mean: It cannot be used for
nominal or ordinal values because
adding the data associated with
these kind of variable does not
sense.
BY: ROMMEL LUIS C. ISRAEL III
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14. DESCRIPTIVE STATISTICS
Measure of Central Tendency
Mean:
Example scenarios:
1. describing the daily allowance of your
classmates and you assumed that is normally
distributed.
2. summarizing the grades in all subjects for the first
quarter
BY: ROMMEL LUIS C. ISRAEL III
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15. DESCRIPTIVE STATISTICS
Measure of Central Tendency
Median – the middle value that
separates the higher value and the
lower value equally. The median is
less than affected by the outliers.
BY: ROMMEL LUIS C. ISRAEL III
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16. DESCRIPTIVE STATISTICS
Measure of Central Tendency
Median
Example scenarios:
1. A researcher would like to summarize the weight of his
respondents, but the data is not normally distributed.
2. A researcher would like to summarize the monthly salary
of his employees, but he found out that it contains
significant outliers.
BY: ROMMEL LUIS C. ISRAEL III
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17. DESCRIPTIVE STATISTICS
Measure of Central Tendency
Mode – most commonly
occurring value in a
distribution.
BY: ROMMEL LUIS C. ISRAEL III
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18. DESCRIPTIVE STATISTICS
BY: ROMMEL LUIS C. ISRAEL III
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19. DESCRIPTIVE STATISTICS
FREQUENCY AND PERCENTAGE DISTRIBUTION
Example:
A researcher would like to know:
a. what religion his respondents belong to;
b. demographic profile of his respondents
(age, race, ethnicity, gender, income,
education, employment;
c. whether people agree or disagree with
the Divorce Bill.
BY: ROMMEL LUIS C. ISRAEL III
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