Population, Sample, Parameter, Statistics, Variable etc., -
Different Kinds of Variables – Qualitative, Quantitative, Nominal, Ordinal, Discrete and
Graphical displays: Histogram, Stem plot, Bar chat, Box plot, Pie chart
Know when to use which plots, How to draw them, how to read them, how to identify outliers
skewness, tell unimodal or bimodal etc.,
Descriptive Statistics. – Read and interpret Minitab printout.
Center – Mean, Median, Mode, and Trimmed Mean – calculate, estimate and
Minimum, Maximum, Q1, Q3,Mean, Median, and Mode – calculate,
estimate and interpret.
St. Dev, Variance, IQR, Range – calculate, estimate and interpret
Relative Variability –C.O.V – calculate, estimate and interpret, Alternative
measures for C.O.V
Skewness – must be able to tell skewness from the graph and descriptive stats.
5- number summary.
10) Robustness – Should be able to tell whether it is robust measure or not.
11) Empirical Rule & Chebychev's rule
12) Normal distribution – General Normal and Standard Normal how to calculate probabilities and
Z-scores and find the X – value based on percentile.
13) Sampling Distribution, Central Limit theorem – Covered in class
14) T-Distribution, how to get the value from t-table.
15) Simple random sample, stratified sampling, systematic sampling and cluster sampling. – Know
how to tell the type of sampling.
16) Estimation of Population Parameters