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Stats quiz 3 part 2

QuestionAnswer
Confidence interval gives a range of plausible values for the population mean based on a sample mean. It provides an estimate plus a margin of error to reflect sampling variability
Error (or Margin of error) is the difference between observed value and expected
We need to know the following in order to find sample size level of confidence, error, standard deviation or an estimate of it
why use a one sample z test? to test a hypothesis about a single population proportion
Conditions for use of one sample z test: the sample is randomly selected, the variable has two outcomes: "success" or "failure", there are at least 10 successes and 10 failures in the sample
for left tailed test chi squared is negative
for left tailed test chi squared is positive
When we use a z-test for proportions we are approximating a discrete distribution with a continuous one. Bc of this mismatch, a continuity correction is applied
Confidence interval for population proportion gives a range of plausible values for the population proportion based on a sample proportion. It provides an estimate plus a margin of error to reflect sampling variability
Required sample size when p is known and not known we need to know the following in order to find sample size: level of confidence, error, p or an estimate of it
When comparing two populations, most of the hypothesis testing steps stay the same as in one sample tests but two parts change 1. Formulating hypotheses: you'll state hypotheses about the difference between two parameters. 2. different formulars are used depending on whether the samples are dependent or in and whether assumptions hold
In this section, "middles" refers to measures of central tendency-specifically: mean and median
Created by: user-1996284
 

 



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