narrower one (when working with the same data). 7) be 3.2 If the sample mean of a data set is 3.2 then the population mean must also

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narrower one (when working with the same data).
7)
If the sample mean of a data set is 3.2 then the population mean must also
be 3.2
As the sample size (n) increases, the standard deviation of x from that
8)
sample decreases, this assumes the standard deviation is positive..
9)
The level of significance is the probability of rejecting the null hypothesis
when the null hypothesis is true.
10)
Classical hypothesis testing can give different decisions than the P-value approach
even with the same level of significance, hypotheses and data?
Transcribed Image Text:narrower one (when working with the same data). 7) If the sample mean of a data set is 3.2 then the population mean must also be 3.2 As the sample size (n) increases, the standard deviation of x from that 8) sample decreases, this assumes the standard deviation is positive.. 9) The level of significance is the probability of rejecting the null hypothesis when the null hypothesis is true. 10) Classical hypothesis testing can give different decisions than the P-value approach even with the same level of significance, hypotheses and data?
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