Probability and Statistical Inference|

Advances in computing technology – particularly in science and business – have increased the need for more statistical scientists to examine the huge amount of data being collected. Written by veteran statisticians, probability and statistical inference, 10th edition emphasises the existence of variation in almost every process, and how the study of probability and statistics helps us understand this variation. Approximately 25 New examples and more than 75 new exercises have been added.</br> A new section (section 2.5) on the hypergeometric distribution is provided, adding to material previously scattered throughout the first and second chapters.</br> <Discussion of new topics includes the index of Skewness and the laws of total probability for expectations and the variance.</br> New material has been added on the topics of percentile matching and the invariance of maximum likelihood estimation.</br> A new section on hypothesis Testing for variances also includes confidence intervals for a variance and for the Ratio of two variances.</br>.