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show the me the steps on how to solve these problems if doesnt take you long.

I need help solving these ANOVA problems

6 In conjunction with the housing foreclosure crisis, many economists expressed increasing concem about the level of credit card debt and efforts of banks to raise interest rates on these cards. The banks claimed the increases were justified. A government sub-committee decided to determine if the average credit card balance depends on the type of credit card used. Under consideration are five credit cards. The sample sizes to be used for each level are 27, 26, 26, 20, and 23, respectively. Comple parts a through f below a. Describe the parameter of interest for this analysis. Choose the correct answer below. A. The average credit card balance of card holders of the five credit cards B The type of credit credit card held by credit card customers C. The five types of credit cards under examination D. The standard deviation of credit card balances of card holders of the five credit cards b. Determine the factor associated with this experiment. Choose the correct answer below. O A. The average credit card balance of card holders of the five credit cards OB. The type of credit credit card held by credit card customers OC. The five types of credit cards under examination OD. The standard deviation of credit card balances of card holders of the five credit cards c. Describe the levels of the factor associated with this analysis. Choose the correct answer below O A. The average credit card balance of card holders of the five credit cards OB. The type of credit credit card held by credit card customers O C. The five types of credit cards under examination OD. The standard deviation of credit card balances of card holders of the five credit cards d. State the number of degrees of freedom available for determining the between-samples variation e. State the number of degrees of freedom available for determining the within-samples variation f. State the number of degrees of freedom available for determining the total variation 6. In conjunction with the housing foreclosure crisis, many economists expressed increasing concern about the level of credit card debt and efforts of banks to raise interest rates on these cards. The banks claimed the increases were justified. A government sub-committee decided to determine if the average credit card balance depends on the type of credit card used. Under consideration are five credit cards. The sample sizes to be used for each level are 27, 26, 26, 20, and 23, respectively. Complete parts a through f below. iers Deed man for a. Describe the parameter of interest for this analysis. Choose the correct answer below. A. The average credit card balance of card holders of the five credit cards B. The type of credit credit card held by credit card customers C. The five types of credit cards under examination Motor A 14568 Motor B 13589 Motor C 13108 7. A company produces treadmills for use in exercise clubs and recreation centers. The treadmill motors are purchased from an outside vendor. Currently, the company is considering which motor to include in its new treadmill series. Three potential suppliers have been identified. The company has decided to make its decision based on how long a motor operates at a high level of speed and incline before it fails. A random sample of 10 motors of each type is selected, and each motor is tested to determine how many minutes (rounded to the nearest minute) it operates before it needs to be repaired. Use the accompanying sample information for each motor to complete parts and b. 7 Click the icon to view the sample data. 7 Outside vendor. Currently, the company is considering which motor to include in its new treadmill series. Three potential suppliers A company produces treadmills for use in exercise clubs and recreation centers. The treadmill motors are purchased from an have been identified. The company has decided to make its decision based on how long a motor operates at a high level of speed and incline before it fails. A random sample of 10 motors of each type is selected, and each motor is tested to determine how many minutes (rounded to the nearest minute) it operates before it needs to be repaired. Use the accompanying sample information for each motor to complete parts and b. 7 Click the icon to view the sample data, a. At the a= 0.01 level of significance, is there a difference in the average times before failure for the three different suppliers motors? Identify the hypotheses for the test. Choose the correct answer below A. Ho: My H H3 HA: At least two of the population means are equal B. Ho: H+H2* H3 HA: All of the population means are equal C. Ho H, H2 H3 H: At least two of the population means are different D. Ho H4 = 42 H3 HA: All of the population means are different Find the test statistic F. F= (Round to two decimal places as needed.) Now find the p-value. p-value = (Round three decimal places as needed.) (1) the null hypothesis. There is (2) evidence at the a=0.01 level of significance that (3) of the population means are (4) b. Is it possible for the company to decide on a single motor supplier based on the analysis of the sample results? Support your answer by conducting the appropriate post test analysis. It (5) possible for the company to decide on a single motor supplier based on the analysis of the sample results. A post test analysis such as the Tukey-Kramer procedure (6) appropriate because the null hypothesis rejected. If the post-test analysis that apply. appropriate, identify the differences between the motors using the Tukey-Kramer procedure. Select all A. Them mean for Motor B is significantly different than the mean for Motor C. B. The mean for Motor A is significantly different than the mean for Motor C. C. The mean for Motor A is significantly different than the mean for Motor B. D. There are no differences between the means of any of the motors. E. The Tukey-Kramer procedure is not appropriate. 7: Sample Data Motor A 14568 14408 12683 12859 13514 2 14205 *40 13651 13510 14945 12570 Motor B 13589 13496 11785 12453 14503 13517 13342 13343 11913 11611 Motor C 13108 13159 11475 11023 13024 12203 12675 11763 12259 11472 (1) O Reject O Do not reject (2) O insufficient o sufficient (3) O at least two O all (4) O different. O equal. (5) O is not is (6) O is is not (7) O was not O was 8. One facet of a company's expertise is the development of dielectric fluids in electrical equipment. Mineral oil-based dielectric fluids have been used more extensively than other dielectric fluids. Their only shortcomings are their relatively low flash and fire point. One study examined the fire point of mineral oil, high-molecular-weight hydrocarbon (HMWH), and silicone. The fire points for each of these fluids are recorded in the following table. Assume that the data are approximately normal. Complete parts a and b. 8 One facet of a company's expertise is the development of dielectric fluids in electrical equipment. Mineral oil-based dielectric fluids have been used more extensively than other dielectric Nuids. Their only shortcomings are their relatively low flash and fire point. One study examined the fire point of mineral oil , high-molecular-weight hydrocarbon (HMWH), and silicone. The fire points for each of these fluids are recorded in the following table. Assume that the data are approximately normal. Complete parts a and b. 8 Click the icon to view the sample data a. Develop the appropriate ANOVA table to determine if there is a difference in the average fire points among the types dielectric fluids. Use a significance level of 0.01. Identify the hypotheses for the test. Choose the correct answer below. A. H: H, H2 H3 HA: At least two of the population means are equal B. Ho H, H2 H3 HA: All of the population means are equal C. Ho: H = H2 = H3 HA: All of the population means are different D. HOH = H2 =H3 HA: At least two of the population means are different State the decision rule at the a = 0.01 level of significance. Select the correct choice below and fill in any answer boxes in your choice. (Round to three decimal places as needed.) O A. If F reject the null hypothesis. Otherwise, do not reject. OB. If F> reject the null hypothesis. Otherwise, do not reject. OC. If F or F > reject the null hypothesis. Otherwise, do not reject. Complete the ANOVA table. ANOVA df SS MS F Source of Variation Between groups Within groups Total (Round to three decimal places as needed.) Reach a decision. the null hypothesis. There is (2) evidence that (3) of the population means are (4) b. If warranted, use the Tukey-Kramer procedure to determine which populations have different mean fire points. Use an experiment-wide error rate of 0.01 Significant Difference Mineral Oil vs. HMWH (5) Mineral Oil vs. Silicone (6) HMWH vs. Silicone (7) 8: Sample Data Fluid Mineral Oil HMWH Silicone 152 315 337 Fire Points (c) 144 169 160 316 299 316 335 341 338 170 314 329 (2) (1) O Do not reject O Reject O sufficient O insufficient (3) O at least two O (4) O equal. O different. (5) (7) O No Procedure not warranted O Yes (6) O Procedure not warranted No 0 Yes O No O Yes O Procedure not warranted 6 In conjunction with the housing foreclosure crisis, many economists expressed increasing concem about the level of credit card debt and efforts of banks to raise interest rates on these cards. The banks claimed the increases were justified. A government sub-committee decided to determine if the average credit card balance depends on the type of credit card used. Under consideration are five credit cards. The sample sizes to be used for each level are 27, 26, 26, 20, and 23, respectively. Comple parts a through f below a. Describe the parameter of interest for this analysis. Choose the correct answer below. A. The average credit card balance of card holders of the five credit cards B The type of credit credit card held by credit card customers C. The five types of credit cards under examination D. The standard deviation of credit card balances of card holders of the five credit cards b. Determine the factor associated with this experiment. Choose the correct answer below. O A. The average credit card balance of card holders of the five credit cards OB. The type of credit credit card held by credit card customers OC. The five types of credit cards under examination OD. The standard deviation of credit card balances of card holders of the five credit cards c. Describe the levels of the factor associated with this analysis. Choose the correct answer below O A. The average credit card balance of card holders of the five credit cards OB. The type of credit credit card held by credit card customers O C. The five types of credit cards under examination OD. The standard deviation of credit card balances of card holders of the five credit cards d. State the number of degrees of freedom available for determining the between-samples variation e. State the number of degrees of freedom available for determining the within-samples variation f. State the number of degrees of freedom available for determining the total variation 6. In conjunction with the housing foreclosure crisis, many economists expressed increasing concern about the level of credit card debt and efforts of banks to raise interest rates on these cards. The banks claimed the increases were justified. A government sub-committee decided to determine if the average credit card balance depends on the type of credit card used. Under consideration are five credit cards. The sample sizes to be used for each level are 27, 26, 26, 20, and 23, respectively. Complete parts a through f below. iers Deed man for a. Describe the parameter of interest for this analysis. Choose the correct answer below. A. The average credit card balance of card holders of the five credit cards B. The type of credit credit card held by credit card customers C. The five types of credit cards under examination Motor A 14568 Motor B 13589 Motor C 13108 7. A company produces treadmills for use in exercise clubs and recreation centers. The treadmill motors are purchased from an outside vendor. Currently, the company is considering which motor to include in its new treadmill series. Three potential suppliers have been identified. The company has decided to make its decision based on how long a motor operates at a high level of speed and incline before it fails. A random sample of 10 motors of each type is selected, and each motor is tested to determine how many minutes (rounded to the nearest minute) it operates before it needs to be repaired. Use the accompanying sample information for each motor to complete parts and b. 7 Click the icon to view the sample data. 7 Outside vendor. Currently, the company is considering which motor to include in its new treadmill series. Three potential suppliers A company produces treadmills for use in exercise clubs and recreation centers. The treadmill motors are purchased from an have been identified. The company has decided to make its decision based on how long a motor operates at a high level of speed and incline before it fails. A random sample of 10 motors of each type is selected, and each motor is tested to determine how many minutes (rounded to the nearest minute) it operates before it needs to be repaired. Use the accompanying sample information for each motor to complete parts and b. 7 Click the icon to view the sample data, a. At the a= 0.01 level of significance, is there a difference in the average times before failure for the three different suppliers motors? Identify the hypotheses for the test. Choose the correct answer below A. Ho: My H H3 HA: At least two of the population means are equal B. Ho: H+H2* H3 HA: All of the population means are equal C. Ho H, H2 H3 H: At least two of the population means are different D. Ho H4 = 42 H3 HA: All of the population means are different Find the test statistic F. F= (Round to two decimal places as needed.) Now find the p-value. p-value = (Round three decimal places as needed.) (1) the null hypothesis. There is (2) evidence at the a=0.01 level of significance that (3) of the population means are (4) b. Is it possible for the company to decide on a single motor supplier based on the analysis of the sample results? Support your answer by conducting the appropriate post test analysis. It (5) possible for the company to decide on a single motor supplier based on the analysis of the sample results. A post test analysis such as the Tukey-Kramer procedure (6) appropriate because the null hypothesis rejected. If the post-test analysis that apply. appropriate, identify the differences between the motors using the Tukey-Kramer procedure. Select all A. Them mean for Motor B is significantly different than the mean for Motor C. B. The mean for Motor A is significantly different than the mean for Motor C. C. The mean for Motor A is significantly different than the mean for Motor B. D. There are no differences between the means of any of the motors. E. The Tukey-Kramer procedure is not appropriate. 7: Sample Data Motor A 14568 14408 12683 12859 13514 2 14205 *40 13651 13510 14945 12570 Motor B 13589 13496 11785 12453 14503 13517 13342 13343 11913 11611 Motor C 13108 13159 11475 11023 13024 12203 12675 11763 12259 11472 (1) O Reject O Do not reject (2) O insufficient o sufficient (3) O at least two O all (4) O different. O equal. (5) O is not is (6) O is is not (7) O was not O was 8. One facet of a company's expertise is the development of dielectric fluids in electrical equipment. Mineral oil-based dielectric fluids have been used more extensively than other dielectric fluids. Their only shortcomings are their relatively low flash and fire point. One study examined the fire point of mineral oil, high-molecular-weight hydrocarbon (HMWH), and silicone. The fire points for each of these fluids are recorded in the following table. Assume that the data are approximately normal. Complete parts a and b. 8 One facet of a company's expertise is the development of dielectric fluids in electrical equipment. Mineral oil-based dielectric fluids have been used more extensively than other dielectric Nuids. Their only shortcomings are their relatively low flash and fire point. One study examined the fire point of mineral oil , high-molecular-weight hydrocarbon (HMWH), and silicone. The fire points for each of these fluids are recorded in the following table. Assume that the data are approximately normal. Complete parts a and b. 8 Click the icon to view the sample data a. Develop the appropriate ANOVA table to determine if there is a difference in the average fire points among the types dielectric fluids. Use a significance level of 0.01. Identify the hypotheses for the test. Choose the correct answer below. A. H: H, H2 H3 HA: At least two of the population means are equal B. Ho H, H2 H3 HA: All of the population means are equal C. Ho: H = H2 = H3 HA: All of the population means are different D. HOH = H2 =H3 HA: At least two of the population means are different State the decision rule at the a = 0.01 level of significance. Select the correct choice below and fill in any answer boxes in your choice. (Round to three decimal places as needed.) O A. If F reject the null hypothesis. Otherwise, do not reject. OB. If F> reject the null hypothesis. Otherwise, do not reject. OC. If F or F > reject the null hypothesis. Otherwise, do not reject. Complete the ANOVA table. ANOVA df SS MS F Source of Variation Between groups Within groups Total (Round to three decimal places as needed.) Reach a decision. the null hypothesis. There is (2) evidence that (3) of the population means are (4) b. If warranted, use the Tukey-Kramer procedure to determine which populations have different mean fire points. Use an experiment-wide error rate of 0.01 Significant Difference Mineral Oil vs. HMWH (5) Mineral Oil vs. Silicone (6) HMWH vs. Silicone (7) 8: Sample Data Fluid Mineral Oil HMWH Silicone 152 315 337 Fire Points (c) 144 169 160 316 299 316 335 341 338 170 314 329 (2) (1) O Do not reject O Reject O sufficient O insufficient (3) O at least two O (4) O equal. O different. (5) (7) O No Procedure not warranted O Yes (6) O Procedure not warranted No 0 Yes O No O Yes O Procedure not warranted