A manufacturer of potato chips would like to know whether its bag filling machine works correctly at the 428 gram setting. Is there sufficient evidence at the 0.05 level that the bags are overfilled? Assume the population is normally distributed. State the null and alternative hypotheses for the above scenario.
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by Bartleby Expert- You are testing the null hypothesis that there is no relationship between two variables, X and Y. From your sample of n = 20, you determine that SSR = 80 and SSE 20. Complete parts (a) through (e) below. a. What is the value of FSTAT? State the hypotheses to test. Choose the correct answer below. OA H B₁50 H₁ B₁0 OC. Ho B₁ #0 H₁ = B₁ = 0 = 72 (Round to the nearest integer as needed) FSTAT = b. At the a=0.05 level of significance, what is the critical value? The critical value is 4.41 (Round to two decimal places as needed.) c. Based on your answers to (3) and (b), what statistical decision should you make? A. Reject H. There is no evidence that there is a relationship between X and Y. OB. Do not reject H. There is no evidence that there is a relationship between X and Y. OC. Do not reject H,. There is evidence that there is a relationship between X and Y D. Reject H. There is evidence that there is a relationship between X and Y. d. Compute the correlation coefficient by first…You are testing the null hypothesis that there is no relationship between two variables. X and Y. From your sample of n = 20, you determine that SSR-80 and SSE 20. Complete parts (a) through (e) below. a. What is the value of FSTAT? State the hypotheses to test. Choose the correct answer below. OA Ho B₁50 H₁: B₁>0 OC. Ho B₁0 FSTAT H₁: B₁ =0 =72 (Round to the nearest integer as needed.) b. At the a=0.05 level of significance, what is the critical value? The critical value is 4.41 (Round to two decimal places as needed.) c. Based on your answers to (a) and (b), what statistical decision should you make? OA. Reject Ho. There is no evidence that there is a relationship between X and Y. OB. Do not reject Ho. There is no evidence that there is a relationship between X and Y. OC. Do not reject Ho. There is evidence that there is a relationship between X and Y. D. Reject Ho. There is evidence that there is a relationship between X and Y. d. Compute the correlation coefficient by first…You are testing the null hypothesis that there is no relationship between two variables, X and Y. From your sample of n = 20, you determine that SSR 80 and SSE 20. Complete parts (a) through (e) below. a. What is the value of FSTAT? State the hypotheses to test. Choose the correct answer below. OA H₂ B₁50 H₁ B₁>0 OC. H₂ B₁ = 0 H₁ B₁₁ =0 FSTAT 72 (Round to the nearest integer as needed.) b. At the a=0.05 level of significance, what is the critical value? The critical value is 4.41 (Round to two decimal places as needed.) c. Based on your answers to (a) and (b). what statistical decision should you make? OA. Reject Ho- There is no evidence that there is a relationship between X and Y. OB. Do not reject Ho. There is no evidence that there is a relationship between X and Y. OC. Do not reject Ho. There is evidence that there is a relationship between X and Y. D. Reject Ho. There is evidence that there is a relationship between X and Y. d. Compute the correlation coefficient by first…
- Two different forecasting techniques (F1 and F2) were used to forecast demand for cases of bottled water. Actual demand and the two sets of forecasts are as follows: TTT PREDICTED DEMAND Period Demand F1 F2 1 68 63 66 75 70 67 3 70 75 70 4 74 69 69 70 73 6. 72 68 7 80 70 77 8. 78 74 84 Click here for the Excel Data File a. Compute MAD for each set of forecasts. Given your results, which forecast appears to be more accurate? (Round your answers to 2 decimal places.) MAD F1 MAD F2 rON m574 O N N NNNSuppose a new production method will be implemented if a hypothesis test supports the conclusion that the new method reduces the mean operating cost per hour. State the appropriate null and alternative hypotheses if the mean cost for the current production method is $220 per hour. What is the Type I error in this situation? What are the consequences of making this error? What is the Type II error in this situation? What are the consequences of making this error?Assume there are 3,600 cases in the validation dataset, and 12% of these cases have a value of 1 for churn (the primary/positive event). Questions a) to c) are based on data for the 3,600 cases (see table below). Depth (% Contacted) Model Cumulative Gain Cumulative Lift Decision Tree 34.42 6.84 Logistic Regression Neural Network 20.19 4.01 34.62 6.88 Decision Tree Logistic Regression Neural Network 10 64.90 6.06 10 36.06 3.15 10 62.50 5.54 Decision Tree 15 73.96 1.82 Logistic Regression Neural Network 15 49.04 2.62 15 82.21 3.97 Decision Tree Logistic Regression 20 78.39 0.87 20 59.13 2.01 Neural Network 20 86.54 0.86 a) Which model has the highest Cumulative Lift at a depth of 20%? What is the lift? b) If the Cumulative Gain at a depth of 10% for the Decision Tree is converted to number of primary/positive event cases, what will be the number of cases? Show your calculation. c) If the Cumulative Gain at a depth of 15% for the Neural Network model is converted to number of…
- Which of the following statements about Least Squares Regression is not true ? Least -squares regression is a mathematical technique to fit a cost -estimating equation to observed data . In least -squares regression , a statistical measure (R -squared ) can be used to determine how well the equation fits the data . Least -squares regression is considered superior to the high -low method because it uses more data points than just the high and low points None of the listed choices are the correct answer because all of the listed choices are true . Least -squares regression maximizes the vertical squared difference between the estimated and actual costs at each data point .You have the following hypothesis: People who eat at Wendy's also tend to have larger household size (number of household members). To test this hypothesis, you use: OA. Causal research ○ B. Exploratory Research O C. Descriptive Research OD. Non experimental researchFind the following values, using the equations, and then work the problems using a financial calculator to check your answers. Disregard rounding differences. (Hint: If you are using a financial calculator, you can enter the known values and then press the appropriate key to find the unknown variable. Then, without clearing the TVM register, you can "override" the variable that changes by simply entering a new value for it and then pressing the key for the unknown variable to obtain the second answer. This procedure can be used in parts b and d, and in many other situations, to see how changes in input variables affect the output variable.) Do not round intermediate calculations. Round your answers to the nearest cent. An initial $400 compounded for 1 year at 9.5%. $ An initial $400 compounded for 2 years at 9.5%. $ The present value of $400 due in 1 year at a discount rate of 9.5%. $ The present value of $400 due in 2 years at a discount rate of 9.5%. $
- Consider a generating function that represents the number of ways to select laptops. That is the coefficient of the s* term will denote the number of ways to select x laptops. The laptops are all identical, so there will always be either 0 or 1 way to select a set of x laptops. However, there may be a constraint so that it is not always possible to select x laptops for a given value of x. Find the function for the following scenario: There are a total of six laptops, but they are only sold in pairs.What is the high-low method and under what circumstances would it be used? Is there anything about this method that would make you conclude it may be less than 100% reliable?I have tried this problem a couple times and am having trouble with COGS for the Weighted Average. May I please have some assistance?
