Questions with Accurate Answers
"Rarity", when expressed as a probability given a hypothesis, is called a correct
answer p-value
A normal distribution is completely described by correct answer its mean and
standard deviation
A p- value is the probability that correct answer you would get a mean or score at
least as big as yours, given the null hypothesis.
A sample mean will almost always equal the True mean. True or False? correct
answer False
A sample of 20 observations (n = 20) would be considered a "small" sample. True
or false? correct answer True
According to Central Limit Theorem correct answer -most populations are
normally distributed.-most samples will probably be normally distributed.-the
standard error is the standard deviation divided by the square root of the sample
size.
As always, a very small p-value tells you that correct answer the data you got
would be very rare if the null hypothesis were true
Central Limit Theorem tells us that the sample means from repetitions of an
experiment correct answer are normally distibuted
, Computer simulations are an alternative way of getting the correct answer
sampling distibution
For a repeated-measures study, a small variance for the difference scores
indicates that the treatment effect is consistent across participants. correct
answer True
For a two group experiment, the p-value is computed correct answer by assuming
the difference between the froups is really zero
Graphically, we represent confidence intervals using correct answer error bars
Greek letters are used for correct answer population
Hopefully, our sample correct answer resembles the population, mean is close to
the true mean, and standard deviation is close to the ture population standard
deviation
I way to repeat the same calculation on different data many many times in code is
to use a correct answer loop
If a distribution is positively skewed, the mean will be ______ the median. correct
answer to the right of
If a z-score is around 4, you would probably correct answer concider the null
hypothesis incorrect