Organization and description of data: pie chart, bar chart, frequency distribution, cumulative frequency distribution, histogram, frequency polygon and ogive.



Measures of central tendency and measures of variation: mean, median, mode, mean deviation, variance and standard deviation.

Probability: random trials, basic concepts of probability, conditional probability, counting rule, permutation and combination.

Random variables: discrete random variable, continuous random variable, expected value and variance.



Special distribution and sampling distribution: Bernoulli distribution, binomial distribution, binomial experiment, Poisson distribution, normal distribution and t-disribution. Sampling distribution (sampling from Bernoulli and normal distribution). Normal approximation to the binomial.

Estimation: point estimation, interval estimation.



Hypothesis testing: one-tailed test and two-tailed test for mean of a normal population, general population and binomial population.



Confidence interval and hypothesis testing for the difference in mean of two samples.



References:

1. Bluman, A. G. (2007). Elementary Statistics: A Step by Step Approach (6th Edition).Mc. Graw-Hill.

2. Mann, P. S. (2007). Introductory Statistics (6th Edition). John Wiley & Sons.

3. Triola, M. F. (2006). Elementary Statistics (10th Edition). Pearson Education Inc.