Economics

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Ebfr1

Economics

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please I need help and correct answers as soon as possible

I need clear answers for question 4 And questions 5 they have complete parts make sure in the images

For question 6 I just need the F factor A =?

Question 3 I want the answers for it and make sure correct numbers a

Thank you

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4. value: 2.50 points (Round all intermediate calculations to at least 4 decimal places.) Do energy bills vary dramatically depending on where you live in the United States? Suppose 25 households from four regions in the United States are sampled. The values for the average annual energy bill are shown below and are consistent with those found by the Department of Energy (Money, June 2009). Use Table 5. Region Average annual Energy bill West $1,491 Northeast $2,319 Midwest $1.768 South $1,758 A portion of the ANOVA calculations are below: ANOVA Source of Variation Between Groups Within Groups SS 7531769 3492385 df 3 96 MS ? ? F ? p-value 7.13E-24 Total 11024154 99 a. Complete the ANOVA table. (Round your answers to 2 decimal places.) MS F ANOVA Source of Variation Between Groups Within Groups SS 7531769 df 3 p-value 7.13E-24 3492385 96 Total 11024154 99 5 . value: 2.50 points (Round all intermediate calculations to at least 4 decimal places.) The following observations were obtained when conducting a two-way ANOVA experiment with no interaction. Use Table 4 Click here for the Excel Data File Factor B 1 2 3 Xi for Factor A 1 3 8 12 7.667 Factor A 2 3 4 3 10 9 16 14 10.000 8.667 4 5 8 13 8.667 Xjfor Factor B 3.750 8.750 13.750 = 8.750 a. Calculate SST, SSA, SSB, and SSE. (Round your answers to 2 decimal places.) SST SSA SSB SSE b. Calculate MSA, MSB, and MSE. (Round your answers to 2 decimal places.) MSA MSB MSE 6. value: 2.50 points (Round all intermediate calculations to at least 4 decimal places.) The following output summarizes a portion of the results for a two-way analysis of variance experiment with no interaction. Factor A consists of four different kinds of organic fertilizers, factor B consists of three different kinds of soil acidity levels, and the variable measured is the height (in inches) of a plant at the end of four weeks. a. Find the missing values in the ANOVA table. (Round your answer to 2 decimal places.) ANOVA Source of Variation SS df MS p-value Font @ 5% Rows 0.13 2 MSB = FFactor B 0.8182 5.143 Columns 44.25 MSA = FFactor A = 0.0001 4.757 Error 1.88 MSE = F 3 6 Total 46.26 11 b. At the 5% significance level, can you conclude that average growth of the plant differs by organic fertilizer? Yes, since the p-value for Factor A is less than a. Yes, since the p-value for Factor A is greater than a No, since the p-value for Factor A is less than a No, since the p-value for Factor A is greater than a c. At the 5% significance level, can you conclude that the average growth of the plant differs by acidity level? OOO Yes, since the p-value for Factor B is less than a. Yes, since the p-value for Factor B is greater than a No, since the p-value for Factor B is less than a No, since the p-value for Factor B is greater than a c. Construct an ANOVA table. (Round your answers except "df" to 2 decimal places.) ANOVA Source of Variation SS MS Rows Columns Error F crit at 1% 5 Total d. At the 1% significance level, do the levels of Factor B differ? Yes, since the value of the Fstatisticfor Factor B is less than the critical value. Yes, since the value of the F statisticfor Factor B is greater than the critical value. No, since the value of the F statisticfor Factor B is less than the critical value. No, since the value of the F statisticfor Factor B is greater than the critical value. e. At the 1% significance level, do the levels of Factor A differ? Yes, since the value of the statisticfor Factor A is less than the critical value. Yes, since the value of the F statisticfor Factor A is greater than the critical value. No, since the value of the F statisticfor Factor A is less than the critical value. No, since the value of the F statisticfor Factor A is greater than the critical value. a. Complete the ANOVA table. (Round your answers to 2 decimal places.) 4 MS ANOVA Source of Variation Between Groups Within Groups SS 7531769 3492385 df 3 p-value 7.13E-24 96 Total 11024154 99 b. At the 1% significance level, can we conclude that average annual energy bills vary by region? Yes, since the p-value is less than a Yes, since the p-value is not less than a No, since the p-value is less than a No, since the p-value is not less than a c. of significant differences exist, use Tukey's HSD method at the 1% significance level to determine which regions' means differ. (If the exact value for ny - C is not found in the table, use the value which is closer. Negative values should be indicated by a minus sign. Round your answers to 2 decimal places.) Confidence interval ] Population Mean Difference H1-12 P1 - 3 μη - με 2 - 3 12-14 H3-HA [ [ [ 1 Can we conclude that the regions' means differ? (Click to select) (Click to select) (Click to select) (Click to select) (Click to select) (Click to select) ] [ [
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Explanation & Answer

Attached.

Question 4
Complete the ANOVA table below. (close to 4 decimal points)
Mean square between groups is calculated as follows
M.S. G= S.S.G/K-1 that is 75311769/3 =2510589.6667

Mean square within groups is calculated as follows
M.S. W= S.S.W/n-k that is 3492385/96 = 36379.0104

The F-statistic is calculated as follows
M.S.G/M.S. W that is 2510589.6667/36379.0104
=69.0120

ANOVA Analysis
Source of
variation

Sum of
squares

Degrees
of
freedom

Mean square

Between
groups

7531769

3

75311769/3
=2510589.67

Within
Groups

3492385

96

3492385/96 =
36379.01

Total

11024154

99

2546968.68

F-value

P-value

2510589.6667/36379.0104
=69.01

69.01

7.183E.24
...


Anonymous
Just what I needed…Fantastic!

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