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ETHICAL AWARENESS
•Knowing what is good and bad and how our actions can affect others.
DATA
•Unprocessed facts
•Set of facts that provides part of the picture.
Information
•Data that has been processed, organized, and given context, making it meaningful and useful.
2 types of data
CATEGORICAL DATA & NUMERICAL DATA
CLASSIFYING NUMERICAL DATA
DISCRETE VARIABLE & CONTINUOUS VARIABLE
TEXT
•Any written or printed words that convey a message.
TABLE
•Set of data arranged in rows and columns.
graph
•Effective visual tool.
•It can reveal trends and relationships within the data.
textual presentation
•Combination of text and numerical facts in statistical reports.
tabular presentation
•It is used when the values are numeric and independent.
GRAPHICAL PRESENTATION
•Showing information using pictures, charts, or graphs instead of just words.
Interpreting Different Graphs
BAR GRAPH, HISTOGRAM, LINE GRAPH, PIE CHART
Measures of Central Tendency
any measure indicating the center of a set data. It is also used to summarize the data.
mean
average
median
used to find middle number or value
weighted mean
assigned different weight for each value & changes occur
mode
most frequent number that appears (frequency)
UNIMODAL
just one number appears more often than all the others
BIMODAL
2 numbers tie for most frequent
MULTIMODAL
3 or more numbers ties for most frequent
NOMODAL
NO MODE/NO FREQUENCY/NO REPEATS
MEASURES OF DISPERSION
help us understand our numbers better, if we want to know how spread out they are.
RANGE
looking at d biggest to smallest numbers to see how far apart they are
VARIANCE & STANDARD DEVIATION
show how spread out or close together numbers are in a data set
VARIANCE
How much data points differ from mean
SAMPLE VARIANCE
measuring how spread out those scores from the average
STANDARD DEVIATION
Provides an average measure of how far the data points are from the mean and is derived from the variance
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.
SYMBOL: “s²”
MEASURE: VARIANCE
SYMBOL: “R”
MEASURE: RANGE
SYMBOL: IQR
MEASURE: INTERQUARTILE RANGE
SYMBOL: S
MEASURE: STANDARD DEVIATION
STEP 1:
UNDERSTAND UR DATA
STEP 2:
CONSIDER THE SCALE OF THE MEASUREMENT
STEP 3:
ASSESS DATA DISTIRBUTION
STEP 4:
DETERMINE THE PRESENCE OF OUTLIERS
STEP 5:
SELECT THE MEASURE
STEP 6
INTERPRET THE RESULT
STEPS 1 TO 6 -
STEPS TO IDENTIFY D RIGHT MEASURE OF DISPERSION OF DATA