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The plant manager at an aluminium processing plant in KZN recorded the percentage of scrap produced daily by a sheet rolling machine. Scrap is measured as a percentage of daily machine output.
(a) Use the Histogram option from Data Analysis to examine whether the daily percentage scrap from the machine is normally distributed. Comment on the findings.
(b) Use the Descriptive Statistics option from Data Analysis to derive the 95% confidence interval estimate for the actual mean percentage of scrap produced daily by the machine. Interpret the findings.
(c) It is company policy that a machine must be stopped and fully serviced if its average daily percentage scrap is 3.75% or more. Test, at the 5% significance level, whether the machine is due for a full service. Use the TINV function to find the critical test statistic. Use the findings from (b) to compute t-stat.
What is the value of the test statistic and decision? Show step by step on how you obtained your final answer.
What are the implications of forecast errors?
An urn contains 50 beads. The beads are identical in shape and have one of two colors: blue and orange. We would like to estimate the proportion p of blue beads. Compute the sample proportion p^ of blue beads for each of the 100 samples found in (i..
Find the mean lifetime of this device? A electrical device consists of 4 identical components arranged so that the device functions if and only if all four components are working.
a group of mutual funds earned varying annual rates of return in the last year. these rates of return are normally
A digital camcorder repair service has set a goal not to exceed an average of 5 working days from the time the unit is brought in to the time repairs are completed. A random sample of 12 repair records showed the following repair (in days)
Find a 90% confidence interval for the population average μ of the percentage of hospitals providing at least some charity care. (Round your answers to one decimal place.)
the proportion of students in private schools is around 11. a random sample of 450 students from a wide geographic area
Results Show the results and details of the tted regression models in appropriate tables and possibly any relevant graphs. Provide an interpretation of the results and a comparison of the three techniques for modeling (gee, glmm,transition).
A student population consists of 55% females and 45% males. A researcher recorded the gender of each student emerging from a theater and found a total of 385 females and 215 males.
Find the slope and intercept and write the estimated Regression equation. Find SSE, SST, and SSR. Also find the Coefficient of Determination and interpret it. Find the correlation coefficient.
In a bag there are 20 marbles. The colors of the marbles are as follows: red - 5; blue - 8; green - 3; yellow - 4.
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