The Janie Gioffre Drapery Company makes three types of draperies at two different locations. At location I, it can make 10 pairs of deluxe drapes, 20 pairs of better drapes, and 13 pairs of standard drapes per day. At location II, it can make 20 pairs of deluxe, 50 pairs of better, and 6 pairs of standard per day. The company has orders for 1000 pairs of deluxe drapes, 2100 pairs of better drapes, and 600 pairs of standard drapes. If the daily costs are $650 per day at location I and $750 per day at location II, how many days should Janie schedule at each location to fill the orders at minimum cost?

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general 10 months ago 6382

A study of 138 penalty shots in World Cup Finals games between 1982 and 1994 found that the goalkeeper correctly guessed the direction of the kick only 41% of the time. The article notes that this is "slightly worse than random chance." We use these data as a sample of all World Cup penalty shots ever. Test at a 5% significance level to see whether there is evidence that the percent guessed correctly is less than 50%. The sample size is large enough to use the normal distribution. The standard error from a randomization distribution under the null hypothesis is SE = 0.043. Let p represent the proportion of all World Cup penalty kicks for which the goalkeeper correctly guesses the direction of the kick. a. State hypotheses in terms of a single proportion p.b. Write the value of the sample statistic, using correct notation. Use the sample statistic and the standard error provided to calculate a z-statistic. Show your calculation.

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general 10 months ago 3235

Data is collected to perform the following the hypothesis test:H0: µ = 5.5Ha: µ ? 5.5.The sample mean of the data is y = 5.4 and the P-value is .1034. Select the choice below that gives the proper interpretation of this P-value.a) If the null hypothesis is false, then the probability of obtaining a sample mean closer to 5.5 than 5.4 is .1034.b) The probability that the sample mean y differs significantly from 5.5 is .8966.c) The probability that the null hypothesis H0 is true is .8966.d) The probability that we have made a mistake is .1034.e) The probability that the null hypothesis H0 is true is .1034.f) If the mean µ does not differ significantly from 5.5 (that is, if the null hypothesis is true), then the probability of obtaining a sample mean y as far or farther from 5.5 than 5.4 is .1034.g) The probability that the alternative hypothesis Ha is false is .1034.

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general 10 months ago 5090