A sample of n 9 individuals participates in a repeatedmeasures study that produces a sample mean difference of MD 6.5 with SS 200 for the difference scores. a. Calculate the standard deviation for the sample of difference scores. Briefly explain what is measured by the standard deviation. b. Calculate the estimated standard error for the sample mean difference. Briefly explain what is measured by the estimated standard error.
Continuous Probability Distributions
Probability distributions are of two types, which are continuous probability distributions and discrete probability distributions. A continuous probability distribution contains an infinite number of values. For example, if time is infinite: you could count from 0 to a trillion seconds, billion seconds, so on indefinitely. A discrete probability distribution consists of only a countable set of possible values.
Normal Distribution
Suppose we had to design a bathroom weighing scale, how would we decide what should be the range of the weighing machine? Would we take the highest recorded human weight in history and use that as the upper limit for our weighing scale? This may not be a great idea as the sensitivity of the scale would get reduced if the range is too large. At the same time, if we keep the upper limit too low, it may not be usable for a large percentage of the population!
5. A sample of n 9 individuals participates in a repeatedmeasures study that produces a sample mean difference
of MD 6.5 with SS 200 for the difference scores.
a. Calculate the standard deviation for the sample of
difference scores. Briefly explain what is measured
by the standard deviation.
b. Calculate the estimated standard error for the
sample mean difference. Briefly explain what is
measured by the estimated standard error.
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