The following data represent the results from an independent-measures study comparing two treatment conditions. Treatment One Treatment Two 4.7 3.7 5.2 2.6 6 4.6 6.5 2.2 4.8 3.5 5.3 3.7 3.9 2.6 3.9 4.9 Using technology, run the One-way ANOVA Test for this data: F-ratio:   p-value:   Now, run the Two Independent Sample t test on the same data: Note: Do this with "pooled variances" since one assumption we make with ANOVA is that the variances for each group are equal. t-statistic:   p-value:   Do you notice anything interesting about the p-values?

What are the values for SS and variance for the following sample of n = 3 scores? Sample:  8, 5, 2

Samples were collected from two ponds in the Bahamas to compare salinity values (in parts per thousand). Several samples were drawn at each site. Pond 1: 37.03, 37.45, 36.75, 37.54, 37.71, 37.02, 37.32 Pond 2: 38.89, 39.05, 38.51, 38.53, 38.71 Use a 2% significance level to test the claim that the two ponds have the same mean salinity value. Assume that nothing is known about the population distribution of salinities. (a) Enter the rank values in the same order as in the original sample. The rank values for Pond 1 are:   The rank values for Pond 2 are:   (b) The test statistic is:  . (c) The test critical value is:  . (d) The conclusion isA. There is not sufficient evidence to indicate that the two ponds have different distributions of salinity values.B. There is sufficient evidence to indicate that the two ponds have different distributions of salinity values.