Can you simply and intuitively explain the purpose of a contrast to the treatment sum of squares? For example, do orthogonal contrasts partition the treatment sum of squares into additive components that represent the variation due to each contrast? If so, what would be the purpose of this?
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Can you simply and intuitively explain the purpose of a contrast to the treatment sum of squares? For example, do orthogonal contrasts partition the treatment sum of squares into additive components that represent the variation due to each contrast? If so, what would be the purpose of this?
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- How do you use the difference of squares method to fit data to an equation or model?A professor in a university is trying to conduct a research study. His study is trying to determine if his 8 am lecture is more interactive with him than his 2 pm lecture. What is the independent variable? How many levels are there for the independent variable? What is the dependent variable?What is the difference between dependent and independent variable?
- Accounting procedures allow a business to evaluate their inventory costs based on two methods: LIFO (last in first out) or FIFO (first in first out). A manufacturer evaluated its finished goods inventory (in $000s) for five products with the LIFO and FIFO methods. To analyze the difference, they computed FIFO − LIFO for each product. We would like to determine if the LIFO method results in a lower cost of inventory than the FIFO method. Product FIFO (F) LIFO (L) 1 225 221 2 119 100 3 100 113 4 212 200 5 248 245 What is the null hypothesis? Multiple Choice H0: µd = 0 H0: µd ≠ 0 H0: µd ≤ 0 H0: µd ≥ 0Accounting procedures allow a business to evaluate their inventory costs based on two methods: LIFO (last in first out) or FIFO (first in first out). A manufacturer evaluated its finished goods inventory (in $000s) for five products with the LIFO and FIFO methods. To analyze the difference, they computed FIFO − LIFO for each product. We would like to determine if the LIFO method results in a lower cost of inventory than the FIFO method. Product FIFO (F) LIFO (L) 1 225 221 2 119 100 3 100 113 4 212 200 5 248 245 a) What are the degrees of freedom? A) 4B) 5C) 15D) 10 b) If you use the 5% level of significance, what is the critical t-value? A) +2.132 B) ±2.132 C) +2.262 D) ±2.228 c) What is the value of calculated t? A) +0.933 B) ±2.776 C) +0.47 D) −2.028 d) What is the decision at the 5% level of significance? A) Fail to reject the null hypothesis and conclude LIFO is more effective. B) Reject the null hypothesis and conclude…Accounting procedures allow a business to evaluate its inventory costs based on two methods: LIFO (last in first out) or FIFO (first in first out). A manufacturer evaluated its finished goods inventory (in $000s) for five products with the LIFO and FIFO methods. To analyze the difference, they computed FIFO − LIFO for each product. Based on the following results, does the LIFO method result in a lower cost of inventory than the FIFO method? Product FIFO (F) LIFO (L) 1 225 221 2 119 100 3 100 113 4 212 200 5 248 245 This example is what type of test? A) A one-sample test of meansB) A two-sample test of meansC) A paired t-testD) A test of proportions
- How does the number of attributes of a variable impact the number of cells in the cross-tabulation table and what does each cell represent?A researcher believed that the number of rental cars in service by a car rental company would have an impact on the total annual revenue for that car rental company. Five small car rental companies were surveyed, with the number of Cars in service recorded in units of 1000 (so if a car rental company had 54000 cars in service, a 54 would be recorded) and Annual Revenue measured in millions of dollars (so an Annual Revenue of $10,000,000 would be recorded as 10). The data follows: Cars (1,000s) Annual Revenue ($ millions)11.5 118 10.0 135 9.0 100 5.5 37 3.3 32 Part of the Excel-generated Simple Linear Regression output is provided below: ANOVA df SS MS F Significance F Regression 1 7891.863897 7891.863897 22.91180151 0.017339231 Residual 3 1033.336103 344.4453677 Total 4 8925.2 Coefficients Standard Error t Stat P-value Intercept -19.12490108 23.1658578…A researcher believed that the number of rental cars in service by a car rental company would have an impact on the total annual revenue for that car rental company. Five small car rental companies were surveyed, with the number of Cars in service recorded in units of 1000 (so if a car rental company had 54000 cars in service, a 54 would be recorded) and Annual Revenue measured in millions of dollars (so an Annual Revenue of $10,000,000 would be recorded as 10). The data follows: Cars (1000s) Annual Revenue ($ millions)11.5. 11810.0. 1359.0. 1005.5. 373.3. 32 Part of the Excel-generated Simple Linear Regression output is provided below: ANOVA df SS MS F Significance F Regression 1 7891.863897 7891.863897 22.91180151 0.017339231 Residual 3 1033.336103 344.4453677 Total 4 8925.2…
