We want to investigate the correlation between concentration of Se (Selenium) in the teeth and its concentration in the liver in 20 Beluga 240 220 Whales. We suspect that the higher the concentration in the liver, the higher the concentration in the teeth. A plot of the data is given at right, and the following summary statistics are given for these data: 200 180 160 X = 20.68 Sx = 13.45 ỹ = 156.60 Sy = 36.06 140 r = 0.54 Se = 31.25 120 Before actually computing its value (that is, by just looking at the scatterplot), how do we know that r > 0 (rather than r = 0 or r < 0)? 10 20 30 40 Liver Se (ug/g dry wt) Calculate the regression line Y Tooth Se (variable Y in the line) as a function of Liver Se (variable X in the line). bo + b,X (that is, find the slope b1 and y-intercept bo) for Interpret the value of the slope bị that you just found. That is, what does b, tell you about how Tooth Se and Liver Se are related? (And don't just write that it's the slope.) Tooth Se (ng/g dry wt)

Ocean currents are important in studies of climate change, as well as ecology studies of dispersal of plankton. Drift bottles are used to study ocean currents in the Pacific near Hawaii, the Solomon Islands, New Guinea, and other islands. Let x represent the number of days to recovery of a drift bottle after release and y represent the distance from point of release to point of recovery in km/100. The following data are representative of one study using drift bottles to study ocean currents. x days y km/100 71 76 31 92 203 14.2 19.6 5.8 11.2 35.9 (a) Verify that Ex = 473, Ey = 86.7, Ex² = 61,451, Ey? 2033.69, Exy = 10995.7, and r 0.93868. %3D %3D %3D %3D %3D Σχ Ey Ex? Ey2 Σχy (b) Use a 1% level of significance to test the claim p > 0. (Use 2 decimal places.) critical t Conclusion Reject the null hypothesis, there is sufficient evidence that p > 0. Reject the null hypothesis, there is insufficient evidence that p > 0. O Fail to reject the null hypothesis, there is insufficient evidence…

A researcher wanted to determine if carpeted rooms contain more bacteria than uncarpeted rooms. The table shows the results for the number of bacteria per cubic foot for both types of rooms. Full data set o Carpeted 10.9 13.7 10.1 12.4 7.8 Uncarpeted 10.2 10.1 11.3 15.9 15.3 5.3 11.3 5.7 9.2 13.6 14 Determine whether carpeted rooms have more bacteria than uncarpeted rooms at the a =0.05 level of significance. Normal probability plots indicate that the data are approximately normal and boxplots indicate that there are no outliers. State the null and alternative hypotheses. Let population 1 be carpeted rooms and population 2 be uncarpeted rooms. O A. Ho: H1 = H2 H: H1 H2 O C. Ho: H1 = H2 D. Ho: H1 H2 Determine the P-value for this hypothesis test. P-value = (Round to three decimal places as needed.)

please use ms excel