(Solved) Question 1 The effects of sulfone concentration and - #80007
Question 1 The effects of sulfone concentration and surface temperature on the mean surface reflectivity are being studied in a 2-factor factorial experiment. The results are shown in the “Surface Condition Dataset 1”. (For this question only use x1 = sulfone concentration, x2 = surface temperature, y = surface reflectivity)
a) Write a complete regression model for this factorial experiment.
b) Do the data present sufficient evidence to indicate an interaction between sulfone concentration and surface temperature (use α = 0.01)?
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My work and software outputs start on page |
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b.1) The Null Hypothesis is |
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b.2) The rejection region is |
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b.3) My answer is |
c) Is it appropriate to conduct tests for main effects? (Use α = 0.01)
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My answer is (Yes/No)? |
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Why (a single sentence)? |
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c.1) If yes (no), what is (would have been) the null hypotheses for testing sulfone concentration |
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c.2) If yes (no), what is (would have been) the null hypotheses for testing surface temperature |
d) Generate an ANOVA summary table and an Interaction Plot
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My software outputs (ANOVA table) start on page |
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d.1) Which statistic in the ANOVA table concurs with your answer in b.3)? |
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d.2) What levels of the two factors result in the highest mean surface reflectivity? |
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Question 2 The effects of sulfone concentration and surface temperature on the mean surface reflectivity are being studied in a 2-factor factorial experiment. The results are shown in the “Surface Condition Dataset 2”. (Suppose x2 = surface temperature, y = surface reflectivity). In each question, when the concentration is 5 grams/liter, highlight (like this) the correct statement. (Use α = 0.01)
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My work and software outputs start on page |
The mean surface reflectivity is significantly higher when the x2 = 150 than when x2 = 75
The mean surface reflectivity is significantly lower when the x2 = 150 than when x2 = 75
The mean surface reflectivity when the x2 = 150 does not significantly differ from the mean surface reflectivity when the x2 = 75.
b)The mean surface reflectivity is significantly higher when the x2 = 125 than when x2 = 175
The mean surface reflectivity is significantly lower when the x2 = 125 than when x2 = 175
The mean surface reflectivity when the x2 = 125 does not significantly differ from the mean surface reflectivity when the x2 = 175.
c)The mean surface reflectivity is significantly higher when the x2 = 100 than when x2 = 75
The mean surface reflectivity is significantly lower when the x2 = 100 than when x2 = 75
The mean surface reflectivity when the x2 = 100 does not significantly differ from the mean surface reflectivity when the x2 = 75.
Use the table below for Questions 3 through 5
| Technician 1 |
Technician 2 |
Technician 3 |
Technician 4 |
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9 |
14 |
6 |
10 |
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12 |
9 |
14 |
12 |
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8 |
12 |
10 |
7 |
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10 |
10 |
8 |
15 |
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11 |
14 |
11 |
11 |
Question 3 The table above shows the number of mistakes made in 5 successive days for 4 technicians (these are not necessarily the same 5 days for all 4 technicians). Is there sufficient evidence to indicate a difference in the mean number of mistakes by the 4 technicians? (Use α = 0.01)
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My work and software outputs start on page |
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3.a) The regression equation is |
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3.b) The null hypothesis is |
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3.c) The rejection region is |
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3.d) The conclusion is |
Question 4 Now suppose the experimenter had instead decided the record the number of mistakes made during the same 5 successive days for the 4 technicians. Is there sufficient evidence to indicate that recording the numbers for the same 5 days for all 4 technicians made a difference? (Use α = 0.01).
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My work and software outputs start on page |
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4.a) The regression equation is |
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4.b) The null hypothesis is |
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4.c) My ANOVA Table is on page |
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4.d) My answer is |
Question 5 Referring to Question 4, is there sufficient evidence to indicate a difference in the mean number of mistakes by the 4 technicians? (Use α = 0.01).
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My work and software outputs start on page |
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5.a) The regression equation is |
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5.b) The null hypothesis is |
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5.c) My answer is |
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