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be able to investigate the strength and direction of a relationship between two variables by collecting measurements and using suitable statistical analysis; be able to evaluate and interpret the product moment correlation coefficient and Spearman's correlation coefficient;
probability table. Example: A game of chance has probability of winning 0⋅73 and losing 0⋅27. Find the probability of winning more than 7 games in 10 games. Solution: The number of successes is a random variable X ~ B(10, 0⋅73), assuming independence of trials. P(X > 7) = P(X = 8 or X = 9 or X = 10) = P(X = 8) + P(X = 9) + P(X = 10) 10= C 8
Worksheet. NOTES. SOLUTIONS. This worksheet will show you how to work out questions relating to measures of central tendency. Each section contains a worked example, a question with hints and then questions for you to work through on your own.
The main ideas are: Know when to use Pearson’s product moment correlation coefficient. How to use summary statistics such as ∑ x , ∑ x 2 , ∑ y , ∑ y. 2 , ∑ x y to calculate Sxx, Syy, Sxy. Know how to recognise when a 1 or 2-tail test is required. What is meant by a residue and the “least squares” regression line.
A continuous random variable is a random variable that can take any value within a range, i.e. height or weight. It is described by a probability density function (p.d.f.). A probability density function may be found from the results of an experiment, or it may be given as an algebraic expression.
1 Φεβ 2023 · The student will calculate univariate statistics. The student will examine the graphs to interpret what the data implies. Collect the Data. Record the number of pairs of shoes you own.
Use a statistical calculator to find the value of the product moment correlation coefficient between x and y . Explain how the value of the product moment correlation coefficient between. x and y will be affected if the individual test marks were converted into percentage marks.
