• Collins Advanced Maths Topics - Statistics: Continuous variables [Paid for download edition] - 9780007444052
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Collins Advanced Maths Topics - Statistics: Continuous variables [Paid for download edition]

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Digital-Download
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15/04/2011
A Level/Ages 16 and above
978-0-00-744405-2
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RRP £4.80
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Familiarise students with continuous variables required in Statistics A Level in this unit. The chapters cover: continuous random variables, the Normal probability model, approximating distributions, and the Central Limit Theorem.

Detailed contents:

11 CONTINUOUS RANDOM VARIABLES
Modelling continuous random variables; Probability density function; Planning an approach; Distribution function
Median and mode; Expected value; Variance; Rectangular distribution; Triangular distribution; Modelling the exponential distribution

14 THE NORMAL PROBABILITY MODEL
The normal probability density function; Comparing data and model; Normal probability paper; Calculating normal probabilities; Tables of the distribution function of N(O,l)
Tables of percentage points of N(O,l); Linear combination of normal variates; Testing the fit of a normal model

15 APPROXIMATING DISTRIBUTIONS
Poisson approximation to binomial; Rare events
Normal approximate to Poisson; Continuity correction
Normal approximation to the binomial; Other distributions

16 THE CENTRAL LIMIT THEOREM
Means of samples for a normal distribution; Standard error
Distribution of sample mean the central limit theorem
Confidence intervals; Large samples; Sample size estimation
Hypothesis testing

• Download all the answers to the Statistics Topics once all answers are contained in the Statistics Answers PDF
• Build confidence through hundreds of questions at the right level.
• Ensure students are fully prepared for their exams with extensive practice exercises, worked examples and full A-level examination questions.
• Promote understanding through consolidation exercises at the end of each topic.
• Challenge and broaden your students’ minds with new interpretations of traditional topics in Statistics.
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