# Analyze_Phase_Intro_HT_Jul19_Exercise.ppt

Exercise
Develop Hypothesis Statement(s)

Determine applicable Hypothesis Test

Gather and format appropriate data

Perform Hypothesis Test and check test assumptions

Make a decision

Lean Six Sigma Green Belt

Running a hypothesis test is rather straightforward. Care should be taken to translate your statistical questions into “Practical” solutions.
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Develop Hypothesis Statements
Complete, concise description of what you think is happening
Hypothesis: Enter hypothesis here
Null hypothesis: enter null hypothesis statement here
Alternative hypothesis: enter alternative hypothesis statement here

Lean Six Sigma Green Belt

P525-13C05
In everyday, non-statistical use, Hypothesis Statements are used to explain what you believe is happening: for example, what’s causing a problem or variation in a process. Remember that a good Hypothesis Statement should give a clear explanation that would probably be understood by anyone not familiar with the problem.
When we elect to do a statistical test of hypotheses, these “what we think” hypotheses have to be revised into TWO hypothesis statements: the Null and the Alternative. (The examples above are really Alternative hypotheses).

Chi-Square Exercise
Identify the strata (e.g.: post with hashtags vs. post with no-hashtags
Gather observed frequencies data and populate matrix:
Count number of posts with number of likes less than customer specification, enter on defect row for each strata.
Count number of posts with number of likes greater or equal than customer specifications, enter on Good row for each strata.

Strata 1 Strata 2

Defect fo = fo = Total =

Good fo = fo = Total =

Total = Total = N =

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Chi-Square Example
Calculate the “expected” frequencies from the observed data:

fe = f row x f col
N
Enter expected frequency
Enter expected frequency
Enter expected frequency
Enter expected frequency
Calculate degrees of freedom

Degrees of freedom = (# rows – 1) x (# cols – 1) = enter value

Strata 1 Strata 2

Defect fe = fe =

Good fe = fe =

Lean Six Sigma Green Belt

Lean Six Sigma Green Belt
IIL-LSSGB
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Chi-Square Example
Calculate chi-square (2) value for each cell and then sum together to calculate total 2:
Total X2 is the sum of the values for each cell:

X2 = enter value here

Lean Six Sigma Green Belt

Lean Six Sigma Green Belt
IIL-LSSGB
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Chi-Square Example
Step 5: Compare to a 2 critical (from chi-square table)
If 2calc > 2crit,
there is a significant difference
2critical =
Write your conclusion here. Is there a statistical significant difference or not?
Enter value
2calc =
Enter value

Lean Six Sigma Green Belt

Lean Six Sigma Green Belt
IIL-LSSGB
5_AA-*

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