ngineer is performing a DoE including the the RF setting and it affects the etch rate, and she has run a completely randomized experiment with four levels of RF power and five replicates. Calculate SSE

In a flowering plant, white flowers are dominant over red, and short plants are dominant over tall plants. When two double heterozygous plants were crossed, the resulting phenotypes were observed: White, short:  206 Red, short:  83 White, tall:  65 Red, tall:  30 Please use a statistical test. Be sure to include all relevant values as well as state how you would interpret the outcome.

Imagine you are a statistical consultant and your client, a weightlifting supplement company, is looking to see if their product is effective in increasing muscle mass gained over a training cycle. You randomly sampled 20 female weightlifters and assigned them to take the supplement and 20 to take a placebo. You have both groups run the same controlled training program over 12 weeks and calculated their whole body lean mass difference in pounds from the beginning to the end of the program. Can you infer that the supplement group gained more muscle mass on average than the placebo group? Use a = 0.05 for any hypothesis test. પ્રમ 1) State the research question in one sentence and use the question to determine the parameter we are using to conduct statistical inference. Describe this parameter in one sentence using symbols and a description. manu Aren

A telemarketing firm has studied the effects of two factors on the response to its television advertisements. The first factor is the time of day at which the ad is run, while the second is the position of the ad within the hour. The data in the following table, which were obtained by using a completely randomized experimental design, give the number of calls placed to an 800 number following a sample broadcast of the advertisement. If we use Excel to analyze these data, we obtain the output in the table below. The Telemarketing Data and the Excel Output of a Two-Way ANOVA Position of Advertisement On the Half- Hour Late in Program On the Early in Program Time of Day Hour 10:00 42 36 62 51 morning 41 38 68 47 37 41 64 48 4:00 afternoon 62 57 88 67 60 58 60 55 85 81 60 66 nce 9:00 100 97 127 105 evening 96 103 96 101 101 107 120 126 ANOVA: Two-Factor With Replication Summary Half- Hour Hour Early Late Total Morning Count 3 146 48.67 47.92 4.33 123.72 12 3 194 64.67 9.33 Sum 120 115 40…