{[ promptMessage ]}

Bookmark it

{[ promptMessage ]}

# 9 qq - 1 Assessing Normality of a Sample normal quantile...

This preview shows pages 1–2. Sign up to view the full content.

1 Assessing Normality of a Sample normal quantile plots can be used to assess whether the data could have come from a normal distribution these plots are also called QQ or normal scores plots the sorted values are plotted against the values we would expect to get if the sample came from a normal distribution a straight line in this plot indicates that the data are normally distributed outliers show up as values distant from the overall pattern curvature indicates departure from normality e.g. skewness the NSCORES command in MINITAB can be used to produce the values to be plotted against the data For example MTB > nscores c1 c2 Manually you can create the normal probability scores using the following commands First rank the data from C1 to C3. Then create the quantile of each observation in column C4 and ﬁnally ﬁnd the point of the normal distribution which gives you the corresponding quantile. MTB > rank c1 c3

This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document
This is the end of the preview. Sign up to access the rest of the document.

{[ snackBarMessage ]}

### Page1 / 6

9 qq - 1 Assessing Normality of a Sample normal quantile...

This preview shows document pages 1 - 2. Sign up to view the full document.

View Full Document
Ask a homework question - tutors are online