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Courses Background
Learn how to extract information from data by attending the new
computer-intensive Statistics for Technical Professionals workshop.
Gear up your stats knowledge to achieve Six Sigma objectives or
other quality improvement initiatives. For example, suppose your
company is asked to guarantee with 99% confidence that 90% of its
product will meet their key specification. Do you need a confidence
interval or a tolerance interval? (Answer: a tolerance interval!)
Using MS Excel, you will learn how to calculate and interpret:
- basic statistics
- confidence intervals
- tolerance intervals
- process capability indices
- testing equality between two variances
- testing equality between two means
- sample size determination
- one-way ANOVA (an introduction)
Statistics for Technical Professionals is aimed
at engineers and other technical professionals who would like to
brush up on their statistical skills. Yes, we know you slept through
that stats class many years ago. You won’t sleep through ours!
Using Excel, practical case studies are interwoven with statistical
theory to help you rediscover your long-lost skills. Entertaining
videos expand on the concepts presented in class.
Courses Outline
Section 1: Descriptive Statistics
Population versus sample
Descriptive statistics
● Mean, median and
mode
● Variance
and standard deviation
Normal distribution
Video: "Statistics at a Glance"
Normal distribution and Z scores
Section 2: Confidence Intervals
Central limit theorem
Confidence interval for mean
● Sigma known (normal
distribution)
● Sigma unknown (t distribution)
Confidence interval for standard deviation
● Chi squared distribution
Confidence interval for binomial proportion
● Video: "Inferential
Statistics: Part 1"
Section 3: Population Parameters
Tolerance intervals for normal populations
●
Two-sided and one-sided
Tolerance intervals for non-normal populations
● Two-sided and
one-sided
Statistical versus engineering tolerances
Process capability
●Process capability indices
●Six
sigma processes
Section 4: Hypotheses Testing
Testing equality of two variances
●
F-test (reject H0: s1=s2 with
a risk)
Video: "Hypothesis Testing: Part I"
Testing equality of two means(reject H0: μ1=μ2 with a risk)
● Assuming
equal variances; Assuming unequal variances
● Paired t-test; One-sided
t-test
Testing equality of two binomial proportions
Section 5: Sample Size Determination
Confidence interval for mean
Confidence interval for binomial proportion
Hypothesis test for equality of two means
Hypothesis test for equality of two binomial proportions
Section 6: One-Way ANOVA (Introduction)
One-way ANOVA
● F-test for means
● Video: "Hypothesis
Testing: Part II"
● Exercise: "Resin Pot Life"
Section 7: Statistical Tables and Symbol
Glossary (Reference)
Section 8: Exercise Answers (Reference)
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MQIP Quality Management Intelligence Tank
Rm.1314, No.27 Shui Yin 2 nd Heng Rd. GuangZhou , China
p: 020-33689262,37597781, f: 020-37597782 |
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