Question

In: Statistics and Probability

Wenton Powersports produces dune buggies. They have three assembly lines, “Razor,” “Blazer,” and “Tracer,” named after...

Wenton Powersports produces dune buggies. They have three assembly lines, “Razor,” “Blazer,” and “Tracer,” named after the particular dune buggy models produced on those lines. Each assembly line was originally designed using the same target production rate. However, over the years, various changes have been made to the lines. Accordingly, management wishes to determine whether the assembly lines are still operating at the same average hourly production rate. Production data (in dune buggies/hour) for the last eight hours are as follows.

Razor Blazer Tracer
11 10 9
10 8 9
8 11 10
10 9 9
9 11 8
8 10 7
12 11 8
10 8 9

a. Specify the competing hypotheses to test whether there are some differences in the mean production rates across the three assembly lines.

  • H0: μRazor = μBlazer = μTracer. HA: Not all population means are equal.

  • H0: μRazor ≤ μBlazer ≤ μTracer. HA: Not all population means are equal.

  • H0: μRazor ≥ μBlazer ≥ μTracer. HA: Not all population means are equal.

b-1. Construct an ANOVA table. Assume production rates are normally distributed. (Round "Sum Sq" to 2 decimal places, "Mean Sq" and "F value" to 3, and "p-value" to 4 decimal places.)

Solutions

Expert Solution


orchestra answered 2 years ago
Next > < Previous

Related Solutions

Wenton Powersports produces dune buggies. They have three assembly lines, “Razor,” “Blazer,” and “Tracer,” named after...
Wenton Powersports produces dune buggies. They have three assembly lines, “Razor,” “Blazer,” and “Tracer,” named after the particular dune buggy models produced on those lines. Each assembly line was originally designed using the same target production rate. However, over the years, various changes have been made to the lines. Accordingly, management wishes to determine whether the assembly lines are still operating at the same average hourly production rate. Production data (in dune buggies/hour) for the last eight hours are as...
Wenton Powersports produces dune buggies. They have three assembly lines, “Razor,” “Blazer,” and “Tracer,” named after...
Wenton Powersports produces dune buggies. They have three assembly lines, “Razor,” “Blazer,” and “Tracer,” named after the particular dune buggy models produced on those lines. Each assembly line was originally designed using the same target production rate. However, over the years, various changes have been made to the lines. Accordingly, management wishes to determine whether the assembly lines are still operating at the same average hourly production rate. Production data (in dune buggies/hour) for the last eight hours are as...
(Use Excel or R) Wenton Powersports produces dune buggies. They have three assembly lines, “Razor,” “Blazer,”...
(Use Excel or R) Wenton Powersports produces dune buggies. They have three assembly lines, “Razor,” “Blazer,” and “Tracer,” named after the particular dune buggy models produced on those lines. Each assembly line was originally designed using the same target production rate. However, over the years, various changes have been made to the lines. Accordingly, management wishes to determine whether the assembly lines are still operating at the same average hourly production rate. Production data (in dune buggies/hour) for the last...
A manufacturing process has two assembly lines, A and B. Suppose that line A produces 60%...
A manufacturing process has two assembly lines, A and B. Suppose that line A produces 60% of the product. and line B produces the rest. We are told that 5% of the products produced by line A are defective in some way, and 8% of the line B products are defective. it may be helpful to construct a tree diagram with first and second-generation branches to answer the following: C) if the end product is defective, what is the probability...
A company uses three different assembly lines – A1, A2, and A3 – to manufacture a...
A company uses three different assembly lines – A1, A2, and A3 – to manufacture a particular component. Of those manufactured by line A1, 5% need rework to remedy a defect, whereas 8% of A2’s components need rework and 10% of A3’s need rework. Suppose that 50% of all components are produced by line A1, 30% are produced by line A2, and 20% come from line A3. (a) Suppose a component is selected at random, what is the probability that...
Below are sets of three variables. On the lines after each set, do the following: Write...
Below are sets of three variables. On the lines after each set, do the following: Write a hypotheses relating the first two variables. Identify independent and dependent variables. State how you expect the third variable to affect the hypothesized relationship. Draw an arrow diagram including all three variables. Determine whether the third variable is antecedent, intervening, or alternative. Primary caregiver for children (primary caregiver, not primary caregiver); support for Family Medical Leave Law (thermometer scale for support); gender (female, male)...
The House of Manji produces three products named; Cookies; Biscuits and Weetabix whose financial data is...
The House of Manji produces three products named; Cookies; Biscuits and Weetabix whose financial data is provided below: Cookies Biscuits Weetabix Total Sales 1,150,000 1,540,000 1,350,000 4,040,000 Cost of goods sold:     Direct materials 423,000 507,000 378,000 1,308,000     Direct labour 392,000 413,000 353,000 1,158,000    Variable selling expenses 195,000 130,000 147,000 472,000    Fixed overhead expenses 705,280 Net income 396,720 The income statement above has been prepared for 5,000 units, 10,000 units and 10,000 units of Cookies, Biscuits and...
A local brewery produces three premium lagers named Half Pint, XXX, and Dark Night. Of its...
A local brewery produces three premium lagers named Half Pint, XXX, and Dark Night. Of its premium lagers, they bottle 40% Half Pint, 40% XXX, and 20% Dark Night lagers. In a marketing test of a sample of consumers, 41 preferred the Half Pint lager, 26 preferred the XXX lager, and 13 preferred the Dark Night lager. Using a chi-square goodness-of-fit test, decide to retain or reject the null hypothesis that production of the premium lagers matches these consumer preferences...
A local brewery produces three premium lagers named Half Pint, XXX, and Dark Night. Of its...
A local brewery produces three premium lagers named Half Pint, XXX, and Dark Night. Of its premium lagers, they bottle 40% Half Pint, 40% XXX, and 20% Dark Night lagers. In a marketing test of a sample of consumers, 29 preferred the Half Pint lager, 40 preferred the XXX lager, and 11 preferred the Dark Night lager. Using a chi-square goodness-of-fit test, decide to retain or reject the null hypothesis that production of the premium lagers matches these consumer preferences...
A local brewery produces three premium lagers named Half Pint, XXX, and Dark Night. Of its...
A local brewery produces three premium lagers named Half Pint, XXX, and Dark Night. Of its premium lagers, they bottle 40% Half Pint, 40% XXX, and 20% Dark Night lagers. In a marketing test of a sample of consumers, 35 preferred the Half Pint lager, 36 preferred the XXX lager, and 9 preferred the Dark Night lager. Using a chi-square goodness-of-fit test, decide to retain or reject the null hypothesis that production of the premium lagers matches these consumer preferences...
ADVERTISEMENT
Subjects
ADVERTISEMENT
Latest Questions
ADVERTISEMENT