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Please help me understand this if possible. I am stuck on what to do for these questions. c.Suppose we want to test if the mean

Please help me understand this if possible. I am stuck on what to do for these questions.

c.Suppose we want to test if the mean chlorophyll content of all Florida lakes differs from 20 ?g/L. If we are using the natural log-transformed data, we must also transform the hypothesized value:H0: ?=20versus HA: ??20becomes H0: ?=3versus HA: ??3since ln(20) = 3Use JMP to find the test statistic and P-value using the ln(Chlorophyll) data and a hypothesized mean of 3.d.Finish steps 6 and 7 of the hypothesis test, using ?= 0.05. The result (fail to reject H0or reject H0/accept HA) also applies to the original hypotheses of H0: ?=20versus HA: ??20. What biological conclusion can you make, if any?

3. The reddish-orange coloration of salmon flesh is caused by carotenoid pigments. Carotenoid concentration (measured in ?g/g) was compared in tissue samples from two samples of sockeye salmon: see Salmon.jmpa.Perform all 7 steps of a two-sample t-test at ?= 0.05to determine if freshwater and migratory salmon tend to have different concentrations of carotenoids. b.Find and interpret a 95% confidence interval that compares the means of the two populations. You do not need to check the necessary conditions again since you presumably did so as part of the hypothesis test in part a.

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Largemouth Bass Lake Mercury Alkalinity PH Calcium Chlorophyll In(Chlorophyll) 2 Annie 1.33 3. 5.1 1.9 3.2 1.1632 Apopka 0.04 116 9.1 44.1 128.3 4.8544 4 Blue Cypress 0.44 39.4 6.9 16.4 3.5 1.2528 Brick 1.2 2.5 4.6 2.9 1.8 0.5878 6 Bryant 0.27 19.6 7.3 4.5 44.1 3.7865 7 Cherry 0.48 5 .2 5.4 2 .8 3.4 1.2238 8 Crescent .19 71.4 8.1 65.2 33.7 3.5175 9 Deer Point 0.83 26.4 5 .8 9.2 1.6 0.47 10 Dias 0.81 4.8 6.4 4.6 22.5 3.1135 2.7 2.7014 11 Don 0.71 6.6 5.4 14.9 Down 0.5 16.5 7.2 13.8 1.3863 13 Eaton .49 25.4 7.2 25.2 1.6 2.451 14 East Tohopekaliga 1.16 7.1 5.8 5.2 5.8 1.757 15 Farm-13 0.05 128 7.6 86.5 71.1 4.2641 16 George 0.15 83.7 8.2 66.5 78.6 4.3644 17 Griffin 0.19 108.5 8.7 35.6 30.1 4.3833 7.8 2.6319 18 Harney 0.77 61.3 57.4 13.9 19 Hart 1.08 6.4 5.8 4.6 1.5261 20 Hatchineha 0.98 31 6.7 15 17 2.8332 21 lamonia 0.63 7.5 4.4 2 9.6 2.2618 22 Istokpoga 0.56 17.3 6.7 10.7 9.5 2.2513 23 Jackson 0.41 12.6 6.1 3.7 21 3.0445 24 Josephine 0.73 6.9 6.3 32.1 3.4689 25 Kingsley 0.34 10.5 5.5 6.3 1.6 0.47 26 Kissimmee 0.59 30 6.9 13.9 21.5 3.068 27 Lochloosa 0.34 55.4 7.3 15.9 24.7 3.2068 28 Louis 0.84 3.9 45 3.3 1.9459 29 Miccasukee 0.5 5.5 4.8 1.7 14.8 2.6946 30 Minneola 0.34 6.3 5.8 3.3 0.7 -0.357 31 Monroe 0.28 67 7.8 58.6 43.8 3.7796 32 Newmans 0.34 28.8 7.4 10.2 32.7 3.4874 33 Ocean Pond 0.87 5.8 3.6 1.6 3.2 1.1632 34 Ocheese Pond 0.56 4. 4.4 1.1 3.2 1.1632 35 Okeechobee 0.17 1 19.1 7.9 38.4 16.1 2.7788 36 Orange 0.18 25.4 7.1 8.8 45.2 3.8111 16.5 2.8034 37 Panasoffkee 0.19 106.5 6.8 90.7 38 Parker 0.04 53 8.4 45.6 52.4 5.0265 39 Placid 0.49 8.5 2.5 12 .8 2.5494 40 Puzzle 1.1 87.6 7.5 85.5 20.1 3.0007 41 Rodman .16 114 72.6 6.4 1.8563 42 Rousseau 0.1 97.5 6.8 45.5 6.2 1.8245 43 Sampson 0.48 11. 5.9 24.2 1.6 0.47 Shipp 0.21 66.5 8.3 26 68.2 4.2224 45 Talquin .86 16 6.7 41.2 24.1 3.1822 46 Tarpon 0.52 5 6.2 23.6 9 .6 2.2618 47 Tohopekaliga 0.65 25.6 6.2 12.6 27.7 3.3214 48 Trafford 0.27 31.5 8.9 20.5 9.6 2.2618 49 Trout 0.94 1.2 4.3 2.1 6.4 1.8563 50 Tsala Apopka 0.4 34 13.1 4.6 1.5261 51 Weir 0.43 15.5 6.9 5.2 16.5 2.8034 52 Wildcat 0.25 17.3 5.2 3 2.6 0.9555 53 Yale 0.27 71.8 7.9 20.5 3.8 2.1748

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