STAB22H3 Chapter 1: Introduction to the Practise of Statistics - Chapter 1

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ceruleanweasel185

14 Apr 2011

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I nt roduction to the practise of statistics. Statistics: the science of learning from data (numerical facts) Context of data includes understanding variables that are recorded with special instruments. Individuals: objects described in a set of data (sometimes people but when they are not, they are cases) Quantitative variables: www. notesolution. com: graphs to represent variables, histogram: bars broken into sub-intervals (bins), breaks range of variable into classes and displays only the count of percent of observations that fall into each class. can learn the shape of distribution ( i. e. bell shape, skew / , unimodal) extreme values of distribution are in the tails of the distribution. 3 types of histograms: f requency: height/count (i. e. # of individuals that move mpg in bin) Relative f requency: height of bat/bin if the # of individuals that fall into that bin: density: area of the bar/bin is the # of individuals in the data set that fill into that bin.

Related Questions

A probability distribution for all possible values of a sample statistic is known as
A.normal distribution
B. uniform distribution random c.sampling sampling distribution
D.sampling distribution

A function of a random variable which describes the probability that random variable is
Select one
A.Probability distribution function
B. Discrete random variable
C. Sampling distribution function
D. Continuous random variable

Consider the normal distribution the vanability is increased and the height of the curve is decreased for the
A. Larger value of standard deviation
B. Smaller value of mean
C. Smaller valie of stabdard deviation
D. Larger value of mean

The sampling destination of the sample mean is a distribution of
A. Sample statistic /estimator
B. individual population values
C. individual sample values
D. Population parameters

The sampling distribution of the mean is distribution of
A. Sample statistic
B. Population parameters
C. individual population values
D. individual sample values

periwinkleelephant946

Choice of statistical analysis is based largely on the way in which the variables have been measured. Consider the following variable and identify if it is more likely to be measured on a metric or categorical scale:
variable: was the carriage/tram/bus overcrowded. (Yes/No)
is the answer metric or categorical?