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NEWEST UPDATE FOR STRAIGHTERLINE INTRODUCTION TO STATISTICS EXAM QUESTIONS AND VERIFIED ANSWERS ALREADY GRADED A+ 2024 – 2025

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NEWEST UPDATE FOR STRAIGHTERLINE INTRODUCTION TO STATISTICS EXAM QUESTIONS AND VERIFIED ANSWERS ALREADY GRADED A+ 2024 – 2025

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STRAIGHTERLINE INTRODUCTION
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Institution
STRAIGHTERLINE INTRODUCTION
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STRAIGHTERLINE INTRODUCTION

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Uploaded on
August 10, 2024
Number of pages
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Written in
2024/2025
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NEWEST UPDATE FOR STRAIGHTERLINE
INTRODUCTION TO STATISTICS EXAM QUESTIONS
AND VERIFIED ANSWERS ALREADY GRADED A+ 2024
– 2025

Lurking Variable

a variable that is not among the explanatory or response variables in a study, but could substantially
affect your interpretation of the relationship among those variables




Simpson's paradox

When a lurking variable causes you to rethink the direction of an association




Probability sampling plan

any sampling plan that relies on random selection (avoids bias).




Simple Random Sampling

Every member of the population has an equal probability of being selected for the sample




Cluster Sampling

Used when the population is naturally divided into groups. Take a random sample of clusters and use all
individuals within those clusters as the sample.




Stratified sampling

, Used when the population is naturally divided into sub-populations called stratum. Choose a simple
random sample from each stratum and use these together as the sample.




Multistage sampling

a probability sampling technique involving at least two stages: a random sample of clusters followed by
a random sample of people within the selected clusters




Observational study

values of the variable or variables of interest are recorded as they naturally occur; no interference




Sample surveys

a particular type of observational study in which individuals report variables' values themselves,
frequently by giving their opinions.




Experiment

researchers "take control" of the values of the explanatory variable because they want to see how
changes in the value of the explanatory variable affect the response variable




The Complement Rule

P(not A) = 1 - P(A)

useful for finding events of the type "at least one of..."




General Addition Rule

P(A or B) = P(A) + P(B) - P(A and B)

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