MMW - REPONSIBLE HANDLING OF DATA & DATA PRESENTATION

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39 Terms

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ETHICAL AWARENESS

•Knowing what is good and bad and how our actions can affect others.

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DATA

•Unprocessed facts

•Set of facts that provides part of the picture.

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Information

•Data that has been processed, organized, and given context, making it meaningful and useful.

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2 types of data

CATEGORICAL DATA & NUMERICAL DATA

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CLASSIFYING NUMERICAL DATA

DISCRETE VARIABLE & CONTINUOUS VARIABLE

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TEXT

•Any written or printed words that convey a message.

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TABLE

•Set of data arranged in rows and columns.

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graph

•Effective visual tool.

•It can reveal trends and relationships within the data.

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textual presentation

•Combination of text and numerical facts in statistical reports.

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tabular presentation

•It is used when the values are numeric and independent.

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GRAPHICAL PRESENTATION

•Showing information using pictures, charts, or graphs instead of just words.

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Interpreting Different Graphs

BAR GRAPH, HISTOGRAM, LINE GRAPH, PIE CHART

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Measures of Central Tendency

any measure indicating the center of a set data. It is also used to summarize the data.

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mean

average

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median

used to find middle number or value 

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weighted mean

assigned different weight for each value & changes occur

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mode

most frequent number that appears (frequency)

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UNIMODAL

just one number appears more often than all the others

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BIMODAL

2 numbers tie for most frequent

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MULTIMODAL

3 or more numbers ties for most frequent

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NOMODAL

NO MODE/NO FREQUENCY/NO REPEATS

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MEASURES OF DISPERSION

help us understand our numbers better, if we want to know how spread out they are.

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RANGE

looking at d biggest to smallest numbers to see how far apart they are

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VARIANCE & STANDARD DEVIATION

show how spread out or close together numbers are in a data set

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VARIANCE

How much data points differ from mean

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SAMPLE VARIANCE

measuring how spread out those scores from the average

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STANDARD DEVIATION

Provides an average measure of how far the data points are from the mean and is derived from the variance

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SAMPLE STANDARD DEVIATION

TOOL we use to see how spread out the numbers are in as mall group compared to the average number in that group. 

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SYMBOL: “s²”

MEASURE: VARIANCE

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SYMBOL: “R”

MEASURE: RANGE

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SYMBOL: IQR

MEASURE: INTERQUARTILE RANGE

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SYMBOL: S

MEASURE: STANDARD DEVIATION

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STEP 1:

UNDERSTAND UR DATA

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STEP 2:

CONSIDER THE SCALE OF THE MEASUREMENT 

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STEP 3:

ASSESS DATA DISTIRBUTION

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STEP 4:

DETERMINE THE PRESENCE OF OUTLIERS

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STEP 5:

SELECT THE MEASURE

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STEP 6

INTERPRET THE RESULT

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STEPS 1 TO 6 -

STEPS TO IDENTIFY D RIGHT MEASURE OF DISPERSION OF DATA