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Summary QUAT 5112 - Stats- quantitative techniques

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Varsity College Stats/ quantitative techniques notes/summary. QUAT 5112 notes. 2nd semester notes. I made and used these notes for stats 2nd semester of 1st year, QUAT 5112, i got a very decent mark... these notes are great and will help for your last minute studying. Brief, helpful and accurate ...

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  • April 26, 2020
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  • 2019/2020
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STATS NOTES EXAM 2019

CHPT 1

 Sampling unit: object being measured, counted or observed.
 Population: is the collection of all possible data values that exist for the random variable
under study.
 Sample statistic: is a measure that describes a characteristic of a sample.
 Descriptive stats: data that is summarized into descriptive measures. - user can see
patterns, trends and relationships within the data.
 Inferential stats: Generalizes sample findings to the broader population.


 Qualitative (categorical): non nrs, eg, gender, employees highest qualification.
 Quantitative (numeric): real nrs. Eg, age, price, delivery distance.
 Discrete data: whole nr/integer. Eg, nr of students in a class.
 Continuous data: any number that can occur in an interval. Eg, customers weight:
48.22kg.
4 types of measurement scales:
 Nominal data: (categorical data), gender: 1=male 2=female. 1=yes 2=no.
 Ordinal data: (categorical data with rankings), eg, size of clothing: 1=S 2 =M 3=L,
 Interval data: (ranking data)
 Ratio data: real numbers associated with quantitative variables. Eg, employee ages
(years), customer income (R), door height (cm)



Chapt3
3 characteristics to describe data profile of a random variable:
 Measures of location: Both central and non-central
 Measure of spread: or dispersion
 Measure of shape: skewness


sumofallob servations  xi
Mean x = numberofobservations = n


Mode= M₀

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