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Suppose that an independent laboratory has tested trash bags and has found that no 30-gallon bags that are currently on the market have a mean breaking strength of 50 pounds or more. On the basis of these results, the producer of the new, improved trash bag feels sure that its 30-gallon bag will be the strongest such bag on the market if the new trash bag's mean breaking strength can be shown to be at least 50 pounds. The mean of the sample of 45 trash bag breaking strengths in Table 1.9 is = 50.574. If we let µ denote the mean of the breaking strengths of all possible trash bags of the new and assume that σ equals 1.69:
(a) Calculate 95 percent and 99 percent confidence intervals for µ. (Round answers to 3 decimal places.) 95 percent confidence intervals for µ is [, ]. 99 percent confidence intervals for µ is [, ].
Construct a relative frequency histogram plot for the homeownership data given in the table for the years 1985, 1996, and 2002. What major differences exist between the plots for the three years?
Can you provide another explanation for this one: Zc/Tc for 86% confidence interval when the sample size 50?
Construct an ANOVA table for experiment - Is there evidence of difference in mean sales among the restaurants? (use =0.05 ).
430 randomly selected light bulbs were tested in a laboratory, 224 lasted more than 500 hours. Find a point estimate of the proportion of all light bulbs that last more than 500 hours.
Determine a 95% confidence interval for proportion of all voters in favour of candidate.
1. Assume adults have IQ scores that are normally distributed with a mean of 100 and a standard deviation of 15.
The cord passing over the two small pegs A and B of the square board is subjected to a tension of 100 N. Determine the required tension P acting on the cord that passes over pegs C and D so that the resultant couple produced by the two couples is ..
martindate were tester which can compare two materials in sigle run, weights losses from seven runs. Examine these data by creating the 90% confidence interval for difference of means. Define your assumption.
Blood pressure screening Your company markets a computerized device for detecting high blood pressure. The device measures an individual's blood pressure.
Calculate the confidence intervals about a regression line. My data is log transformed and has high R-square value for what is called "power" equation in Excel. My CI's are narrow at the top of the graph and very wide near the bottom.
How large a sample of workers should she take if she wishes to estimate the mean assembly time to within 20 seconds? Assume that the confi- dence level is to be 99%.
Based on the supply curve above, what is the relationship between good X and good Z?
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