The production line at the Heinz ketchup factory is ca…
The production line at the Heinz ketchup factory is calibrated to fill bottles of ketchup with no more than 24 ounces of ketchup in each container. We certainly do not want ketchup spilling onto the assembly line; that would be messy! In order to test how well the machinery is working, from one day’s production of ketchup bottles filled, a sample of 50 bottles are selected and the contents of each container are measured. The most recent quality control check revealed a mean of 24.1 ounces per bottle, with a sample standard deviation of 0.3 ounces. Industry standards set the required level of significance, α, at .05. 1. Provide the hypothesis test criteria: HO: μ [NullOperator] [Mu0] HA: μ [alteOperator] [Mu0A] 2. Critical value approach: Compare the test statistic of [TestStat] to the critical value of [CriticalValue] 3. P-value approach: Compare the p-value of [pValue] to α = .05 4. Conclusion: (Type either Accept or Reject): [AcceptReject] HO 5. What does this mean? (Business decision): [WDTM]
Read DetailsA major sporting goods company, Trophy Sports, has mul…
A major sporting goods company, Trophy Sports, has multiple suppliers. These suppliers manufacture items for Trophy Sports, add branding specific to Trophy Sports, and the item is sold at Trophy Sports stores across the country under the store brand. In order to become a manufacturer and supplier of tennis shoes for Trophy Sports, the cost per pair of tennis shoes has to be less than$2.50, applying the industry-wide standard deviation (σ) of 0.30¢. SportShoe Inc. is offering to supply 150 pairs of shoes to Trophy Sports for $369.00. Should Trophy Sports use SportShoe Inc. as a supplier? Test at a level of significance, α = .05. 1. Provide the hypothesis test criteria: HO: μ [NullOperator] [Mu0] HA: μ [alteOperator] [Mu0A] 2. Critical value approach: Compare the test statistic of [TestStat] to the critical value of [CriticalValue] 3. P-value approach: Compare the p-value of [pValue] to α = .05 4. Conclusion: (Type either Accept or Reject): [AcceptReject] HO 5. Should Trophy Sports use SportShoe as a supplier? (Business decision): [WDTM]
Read DetailsDescription: This lab exam covers all material from the Axia…
Description: This lab exam covers all material from the Axial Skeleton (Lab 8) through the Dem Bones activity. This exam REQUIRES you to access it through the Respondus Lockdown Browser. The icon should look like this on your desktop: LockDown-Browser-Icon.png YOU NEED TO ACCESS THIS BROWSER IN ORDER TO ACCESS THIS EXAM!!!
Read DetailsFor the upcoming summer Olympics in Paris, Under Shiel…
For the upcoming summer Olympics in Paris, Under Shield is developing a new racing suit for the American swimming team. The typical suit worn at prior Olympic games had an average drag coefficient (Cd) of of 1.2.(Drag coefficient measures the resistance or friction of an object as it travels through air; the less drag, the better for our athletes.) A sample of twenty-five (25) of the new Under Shield swimsuits were tested, and the new suits had an average drag coefficient of 1.0, with a standard deviation of 0.39.Can Under Shield make the claim to the U.S. Olympic Committee that these new suits will perform better than the suits used in prior Olympic games? The required level of significance, α, is .01. 1. Provide the hypothesis test criteria: HO: μ [NullOperator] [Mu0] HA: μ [alteOperator] [Mu0A] 2. Critical value approach: Compare the test statistic of [TestStat] to the critical value of [CriticalValue] 3. P-value approach: Compare the p-value of [pValue] to α = .01 4. Conclusion: (Type either Accept or Reject): [AcceptReject] HO 5. What should the U.S. Olympic Swimming team do in regard to the new suits? (Business decision): [WDTM] 6. There is a “red flag” that the U.S. Olympic Committee should be aware of concerning this sample of the new suits when considering this proposal from Under Shield. What is that “red flag”? [RedFlag]
Read DetailsThe production line at the Heinz ketchup factory is ca…
The production line at the Heinz ketchup factory is calibrated to fill bottles of ketchup with no more than 24 ounces of ketchup in each container. We certainly do not want ketchup spilling onto the assembly line; that would be messy! In order to test how well the machinery is working, from one day’s production of ketchup bottles filled, a sample of 70 bottles are selected and the contents of each container are measured. The most recent quality control check revealed a mean of 24.1 ounces per bottle, with a sample standard deviation of 0.3 ounces. Industry standards set the required level of significance, α, at .05. 1. Provide the hypothesis test criteria: HO: μ [NullOperator] [Mu0] HA: μ [alteOperator] [Mu0A] 2. Critical value approach: Compare the test statistic of [TestStat] to the critical value of [CriticalValue] 3. P-value approach: Compare the p-value of [pValue] to α = .05 4. Conclusion: (Type either Accept or Reject): [AcceptReject] HO 5. What does this mean? (Business decision): [WDTM]
Read DetailsA final hypothesis test decision is based, in part, on the l…
A final hypothesis test decision is based, in part, on the level of significance, α. Assume a statistician conducts a sample, tests the data against a hypothesis, and concludes “accept the null hypothesis, H0.” The statistician does not like that result, and, without changing the sample data, tests the data against the same hypothesis test criteria, but this time concludes to “reject the null hypothesis, H0.” What did the statistician do to the level of significance, α, between the first and second decision?
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