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Please this problem needs a JMP or Minitab or other software. You may also be expected to set up the appropriate hypothe

Posted: Thu Apr 28, 2022 7:58 am
by answerhappygod
Please this problem needs a JMP or Minitab or other
software.
You may also be expected to set up the appropriate hypotheses,
find the relevant information from given computer output, and
interpret results, especially in the context of the problem.
Please This Problem Needs A Jmp Or Minitab Or Other Software You May Also Be Expected To Set Up The Appropriate Hypothe 1
Please This Problem Needs A Jmp Or Minitab Or Other Software You May Also Be Expected To Set Up The Appropriate Hypothe 1 (43.12 KiB) Viewed 34 times
Please This Problem Needs A Jmp Or Minitab Or Other Software You May Also Be Expected To Set Up The Appropriate Hypothe 2
Please This Problem Needs A Jmp Or Minitab Or Other Software You May Also Be Expected To Set Up The Appropriate Hypothe 2 (16.77 KiB) Viewed 34 times
1) In an attempt to improve the drying time of the paint used in their process, a new additive has been developed. The current paint has an average drying time of 75 minutes. Use of the additive in 20 swatches of the paint yields the values in the table. Because of the expense associated with using the additive, evidence should strongly suggest an improvement in drying time before adopting use of the additive. (Data Set: Paint) a) Construct a 95% confidence interval for the mean drying time. b) Construct a 95% upper bound for the mean drying time. c) What size sample is necessary to construct a 95% confidence interval with a margin of error of 4 minutes? Use a power of 50% (in JMP you need to use the proportion 0.51) d) Would you recommend the manufacturer use the additive? (Do a hypothesis test.) e) Can you trust the results from the statistical procedures in parts a through d? Are the results valid?

Paint 1 2 Time 52.7 73 3 4 79.1 73.6 4 5 6 60.5 72.2 5 7 8 8 9 9 10 Columns (1/1) a Time 11 12 13 14 15 16 17 18 19 67.5 74.3 62.2 53.1 54.8 49.6 74 71.5 66.2 72.1 63 46 68.3 20 70.1