Suppose a huge internet-based lighting company receives a shipment of several thousand boxes of light bulbs...
Suppose a huge internet-based lighting company receives a shipment of several thousand boxes of light bulbs every Tuesday. Inspectors return the merchandise to the manufacturer if the proportion of damaged light bulbs is more than 0.06 (6%). Rather than inspect all of the packages, 100 boxes are randomly sampled. As long as at least 10 damaged and 10 undamaged light bulbs are found, a one-sample 2-test is run with a significance level of 0.01 to see if the proportion of...
Suppose a huge internet-based lighting company receives a shipment of several thousand boxes of light bulbs every Tuesday. Inspectors return the merchandise to the manufacturer if the proportion of damaged light bulbs is more than 0.06 (6%). Rather than inspect all of the packages, 100 boxes are randomly sampled. As long as at least 10 damaged and 10 undamaged light bulbs are found, a one-sample z-test is run with a significance level of 0.01 to see if the proportion of...
Suppose Jonathan works for the local transportation authority and knows that for the last few years, only 62% of buses have arrived at their destination on time. However, the city recently completed improvements to the main roads, and Jonathan thinks that a higher proportion of buses now arrive on time because of these improvements. Jonathan collects a random sample of bus arrival times for 500 buses and finds that 346 buses arrived on time. He conducts a one-sample, right‑sided ?-test...
Suppose Jonathan works for the local transportation authority and knows that for the last few years, only 62% of buses have arrived at their destination on time. However, the city recently completed improvements to the main roads, and Jonathan thinks that a higher proportion of buses now arrive on time because of these improvements. Jonathan collects a random sample of bus arrival times for 500 buses and finds that 347 buses arrived on time. He conducts a one-sample, right-sided z-test...
Suppose Jonathan works for the local transportation authority and knows that for the last few years, only 62% of buses have arrived at their destination on time. However, the city recently completed improvements to the main roads, and Jonathan thinks that a higher proportion of buses now arrive on time because of these improvements. Jonathan collects a random sample of bus arrival times for 500 buses and finds that 346 buses arrived on time. He conducts a one-sample, right-sided z-test...
Suppose Jonathan works for the local transportation authority and knows that for the last few years, only 62% of buses have arrived at their destination on time. However, the city recently completed improvements to the main roads, and Jonathan thinks that a higher proportion of buses now arrive on time because of these improvements. Jonathan collects a random sample of bus arrival times for 500 buses and finds that 328 buses arrived on time. He conducts a one-sample, right-sided z-test...
Suppose Jonathan works for the local transportation authority and knows that for the last few years, only 62% of buses have arrived at their destination on time. However, the city recently completed improvements to the main roads, and Jonathan thinks that a higher proportion of buses now arrive on time because of these improvements. Jonathan collects a random sample of bus arrival times for 500 buses and finds that 347 buses arrived on time. He conducts a one-sample, right-sided z-test...
Suppose Jonathan works for the local transportation authority and knows that for the last few years, only 62% of buses have arrived at their destination on time. However, the city recently completed improvements to the main roads, and Jonathan thinks that a higher proportion of buses now arrive on time because of these improvements. Jonathan collects a random sample of bus arrival times for 500 buses and finds that 347 buses arrived on time. He conducts a one-sample, right-sided z-test...
Full data set Uncarpeted A researcher wanted to determine if carpeted or uncarpeted rooms contain more bacteria. The table shows the results for the number of bacteria per cubic foot for both types of rooms. A normal probability plot and boxplot indicate that the data are approximately normally distributed with no outliers. Do carpeted rooms have more bacteria than uncarpeted rooms at the α 0.01 level of significance? 1 Click the icon to view the Student t-distribution table 13. Carpeted...