Say that a supplier claims they are 99% confident that their products will be in the interval of 50.02 to 50.38. You take samples and find that the 99% confidence interval of what they are sending is 50.00 to 50.36. What conclusion can be made?
The supplier is less accurate than they claimed
The supplier products have a lower mean than claimed
The supplier products have a higher mean than claimed
The supplier is more accurate than they claimed
The margin of error is same so the supplier products have a lower mean than claimed.
Option B is correct.
Say that a supplier claims they are 99% confident that their products will be in the...
We were unable to transcribe this imageWe were unable to transcribe this image(d) Use the bootstrap distribution to estimate a 99% confidence interval. Round your answers to the nearest integer The interval is ug/g crt to ug/g crt. Hint eTextbook and Media (el Interpret this interval in context. 쓸 we are 99 confident that the people in the sample had 3-PBA concentrations between 15 and 35 units higher hen eating on organic than when eating organic. We are confident that...
A local pizza place claims that they average a delivery time of 10.14 minutes. To test this claim, you order 13 pizzas over the next month at random times on random days of the week. You calculate that the average delivery time is 8.59 minutes with a standard deviation of 1.721 minutes. You create a 99% confidence interval of (7.13, 10.05). Of those listed below, what is the best conclusion you can make? Question 7 options: 1) The percentage of...
3. value: 10.00 points The manufacturer of the ColorSmart-5000 television set claims 95 percent of its sets last at least five years without needing a single repair. In order to test this claim, a consumer group randomly selects 352 consumers who have owned a ColorSmart-5000 television set for five years. Of these 352 consumers, 310 say their ColorSmart-5000 television sets did not need a repair, whereas 42 say their ColorSmart-5000 television sets did need at least one repair. (a) Find...
2. Management claims the mean income for all senior-level assembly line workers at 3M equals $700 a week. An employee decided to test this claim believing it is different from $700. a. State the hypotheses for this test, and make a conclusion to the test based upon the confidence interval below. What level is this test? 99% CI of µ: (631.354, 650.868) b. Suppose management claimed that 60% of senior-level assembly line workers at 3M is greater than $650 a...
2. Management claims the mean income for all senior-level assembly line workers at 3M equals $700 a week. An employee decided to test this claim believing it is different from $700. a. State the hypotheses for this test, and make a conclusion to the test based upon the confidence interval below. What level is this test? 99% CI of µ: (631.354, 650.868) b. Suppose management claimed that 60% of senior-level assembly line workers at 3M is greater than $650 a...
Construct a 99% confidence interval to estimate the population mean using the following data. What assumptions need to be made to construct this interval? x=88 20 n 11 What assumptions need to be made to construct this interval? Tre O A. The population mean will be in the confidence interval. en OB. The sample size is less than 30. et c . The population must be normally distributed. D. The population is skewed to one side. With 99% confidence, when...
In a study of the accuracy of fast food drive-through orders, Restaurant Ahad 281 accurate orders and 69 that were not accurate. a. Construct a 95% confidence interval estimate of the percentage of orders that are not accurate, b. Compare the results from part (a) to this 95% confidence interval for the percentage of orders that are not accurate at Restaurant B: 0.174<p <0.266. What do you conclude? a. Construct a 95% confidence interval. Express the percentages in decimal form....
In a study of the accuracy of fast food drive-through orders, Restaurant A had 340 accurate orders and 66 that were not accurate. a. Construct a 95% confidence interval estimate of the percentage of orders that are not accurate. b. Compare the results from part (a) to this 95% confidence interval for the percentage of orders that are not accurate at Restaurant B: 0.139 <p<0.211. What do you conclude? a. Construct a 95% confidence interval. Express the percentages in decimal...
In a study of the accuracy of fast food drive-through orders, Restaurant Ahad 265 accurate orders and 61 that were not accurate a. Construct a 95% confidence interval estimate of the percentage of orders that are not accurate b. Compare the results from part (a) to this 95% confidence interval for the percentage of orders that are not accurate at Restaurant B 0.167<p <0.244. What do you conclude? a. Construct a 95% confidence interval. Express the percentages in decimal form...
In a study of the accuracy of fast food drive-through orders, Restaurant A had 257 accurate orders and 58 that were not accurate.a. Construct a 90% confidence interval estimate of the percentage of orders that are not accurate. b. Compare the results from part (a) to this 90% confidence interval for the percentage of orders that are not accurate at Restaurant B: 0.164 < p < 0.234 What do you conclude? a. Construct a 90% confidence interval. Express the percentages...