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STA 270 -FINAL REVIEW STUDY GUIDE SOLUTIONS

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STA 270 -FINAL REVIEW STUDY GUIDE SOLUTIONS Parameter - ANSWER-A value that describes an aspect (mean, proportion, correlation) of the population Statistic - ANSWER-a numerical measurement describing some characteristic of a sample. This value is computed from data in a sample. Random distribu...

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  • November 4, 2024
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STA 270 -FINAL REVIEW STUDY GUIDE SOLUTIONS


Parameter - ANSWER✔✔-A value that describes an aspect (mean, proportion, correlation) of the

population


Statistic - ANSWER✔✔-a numerical measurement describing some characteristic of a sample.


This value is computed from data in a sample.


Random distribution - ANSWER✔✔-statistical distribution in which the location of members in a

population is totally random, location of each individual is determined by chance/probability


Statistical inference - ANSWER✔✔-The process of using data obtained from a sample to make estimates

or test hypotheses about the characteristics of a population.


Population - ANSWER✔✔-An entire mass of individuals from where a certain sample is taken


explanatory variable - ANSWER✔✔-A variable that helps explain or influences changes in a response

variable.


Independent variable (x- axis)


response variable - ANSWER✔✔-A variable that measures an outcome of a study.


Dependent variable (y-axis)


bootstrap sample - ANSWER✔✔-a random sample taken with replacement from the original sample, of

the same size as the original sample


bootstrap statistic - ANSWER✔✔-the statistic computed on a bootstrap sample


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, Copyright © KAYLIN 2024/2025 ACADEMIC YEAR. ALL RIGHTS RESERVED FIRST PUBLISH NOVEMBER, 2024


bootstrap distribution - ANSWER✔✔-The distribution of estimates calculated from each of the bootstrap

re-samples taken from the original sample




one dot on the bootstrap distribution = one sample statistic


Confidence Interval (CI) - ANSWER✔✔-A range of values, calculated from the sample observations, that

is believed, with a particular probability, to contain the true value of a population parameter.




A 95% confidence interval, for example, implies that were the estimation process repeated again and

again, then 95% of the calculated intervals would be expected to contain the true parameter value.




Note that the stated probability level refers to properties of the interval and not to the parameter itself

which is not considered a random variable.


Hypothesis tests - ANSWER✔✔-use known distribution to determine whether null hypothesis can be

rejected or otherwise


correlation - ANSWER✔✔-measure of strength and direction of linear assoc b/w 2 considered variables


Randomized comparative experiment - ANSWER✔✔-an experiment that uses both comparison of two or

more treatments and random assignment of subjects to treatments


matched pairs experiment - ANSWER✔✔-each case gets both treatments in random order and we

examine individual differences in the response variable between the two treatments




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