One company's bottles of grapefruit juice are filled by a machine that is set to dispense an average of 180 milliliters (ml) of liquid. A quality-control inspector must check that the machine is working properly. The inspector takes a random sample bottles and measures the volume of liquid in each bottle. We want to test Ho: μ = 180 Ha: 180 where μ = the true mean volume of liquid dispensed by the machine. The mean amount of liquid in the bottles is 179.6 ml the standard deviation is 1.3 ml. A significance test yields a P-value of 0.0589. Interpret the P-value. Assuming the true mean volume of liquid dispensed by the machine is 180 ml, there is a 0.0589 probability of gettin sample mean of 179.6 just by chance in a random sample of 40 bottles filled by the machine. Assuming the true mean volume of liquid dispensed by the machine is 180 ml, there is a 0.0589 probability of gettin sample mean at least as far from 180 as 179.6 (in either direction) just by chance in a random sample of 40 bottles fil by the machine. The probability that the alternative hypothesis is true is 0.0589. Assuming the true mean volume of liquid dispensed by the machine is 180 ml, there is a 0.0589 probability of gettin sample mean no greater than 179.6 just by chance in a random sample of 40 bottles filled by the machine. habilit 0.0590
One company's bottles of grapefruit juice are filled by a machine that is set to dispense an average of 180 milliliters (ml) of liquid. A quality-control inspector must check that the machine is working properly. The inspector takes a random sample bottles and measures the volume of liquid in each bottle. We want to test Ho: μ = 180 Ha: 180 where μ = the true mean volume of liquid dispensed by the machine. The mean amount of liquid in the bottles is 179.6 ml the standard deviation is 1.3 ml. A significance test yields a P-value of 0.0589. Interpret the P-value. Assuming the true mean volume of liquid dispensed by the machine is 180 ml, there is a 0.0589 probability of gettin sample mean of 179.6 just by chance in a random sample of 40 bottles filled by the machine. Assuming the true mean volume of liquid dispensed by the machine is 180 ml, there is a 0.0589 probability of gettin sample mean at least as far from 180 as 179.6 (in either direction) just by chance in a random sample of 40 bottles fil by the machine. The probability that the alternative hypothesis is true is 0.0589. Assuming the true mean volume of liquid dispensed by the machine is 180 ml, there is a 0.0589 probability of gettin sample mean no greater than 179.6 just by chance in a random sample of 40 bottles filled by the machine. habilit 0.0590
College Algebra (MindTap Course List)
12th Edition
ISBN:9781305652231
Author:R. David Gustafson, Jeff Hughes
Publisher:R. David Gustafson, Jeff Hughes
Chapter4: Polynomial And Rational Functions
Section4.6: Rational Functions
Problem 11SC: Find the mean hourly cost when the cell phone described above is used for 240 minutes.
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