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1. As we have noted in previous chapter even a very small effect can be significant if the sample is large enough for each of the following determine how large a sample is necessary for the correlation to be significant. Assume a two-tailed test with a=.05. (Note: because the table doesn’t list every possible df value, you can’t determine every possible sample size. In each case use the sample size corresponding to the appropriate df value in the table)
a) a correlation of r=0.40
b) a correlation of r=0.30
c) a correlation of r=0.20
2. The following data consist of numerical scores measured on an interval scale of measurement. Convert the scores to ranks and compute the Spearman correlation
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