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 ...
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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