PLG 310 Chapter Notes - Chapter 7: Simple Random Sample, Binomial Distribution, Normal Distribution
Document Summary
Think about the approaches we are using, if we knew about the average times of the city of toronto, we can find the distribution of it: we wouldn"t really need a statistical analysis (ex. For practicality, these approaches aren"t practical because we already have the data. Sampling is using the methods we have discussed so far. Discrete random variable: countable number of values. Binomial random variable: only two outcomes (success and failure) Continuous random variable: uncountable number of values/ possibilities. Probability distribution: a distribution of the probabilities associated with each of the values of the random variable. Student housing rents are normally distributed with a mean of and a standard deviation of. Sampling frame: or a list/set of the elements belonging to the population from which the sample will be drawn it is necessary to construct a sampling frame when selecting a sample for a survey.
