Six Sigma - Descriptive Statistics
About the Lecture
The lecture Six Sigma - Descriptive Statistics by OTIFAS PVT LTD is from the course Six Sigma - Measure Phase. It contains the following chapters:
- Introduction
- Central Tendency and Spread
- Descrptive Statistics Example
- Understanding Central Tendency and Variation
- Descriptive Statistics
- Examples
- Mean, Standard Deviation with Minitab
- Summary
Included Quiz Questions
Process of estimating the results or to draw conclusions based on statistical analysis is covered in ...
- Inferential statistics.
- Probability.
- Descriptive statistics.
- Decision theory.
A single measure to represent the central tendency of a set of observations is known as ...
- Central Tendency.
- Dispersion.
- Standard Deviation.
- Variance.
Which among the following are the common measures of dispersion?
- Variance & Standard Deviation
- Mean & Median
- Co-relation & Regression
Mean of any data set can be calculated as ...
- Xbar=(X1+X2+X3+….Xn)/n
- Xbar=∑X/n
- Xbar=∑fX/n
- No answer is correct.
The process of collecting a portion of data for study of population can be termed as ...
- Sampling.
- Data.
- Processing.
- Study.
When a sampling is done on the basis of one's experience and opinion it is known as ...
- Judgmental sampling.
- Random samping.
- Stratified sampling.
When population is known to be from different sources i.e. machine, shift, operator. When the samples are taken from each group, this type of sampling is known as ...
- Stratified sampling.
- Simple random sampling.
- Judgmental sampling.
Author of lecture Six Sigma - Descriptive Statistics
OTIFAS PVT LTD
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