It has 5 pharmaceutical firms that produce 9 types generics. The Consumers want
ID: 467503 • Letter: I
Question
It has 5 pharmaceutical firms that produce 9 types generics. The Consumers want know what company has on average the highest prices not to buy their products. Prices (US dollar) are presented below. Report: The variability among samples (CMTR). Use the formula corresponding. The variability within samples (CME). Use the formulas corresponding. The F-calculated (test statistic) and value P. Is or not reject the null hypothesis at 5% significance level. [Use p-value method and method of the test statistic]. [The value critical can be obtained from the website http\www.Statistictributation.ogm//Explain your results with confidence intervals. [Use 99% level confidence] Does the consumer can know that pharmaceutical or should choose which one to choose? Explain.Explanation / Answer
Here accept the H0, The means values are equal i. e Mean A = Mean B=Mean C = Mean D= Mean E
Alternatively, we can use excel to calculate all values directly using one way ANOVA option in data analysis
Types A B C D E 1 75 94 90 85 72 2 72 87 86 81 77 3 87 80 92 95 87 4 77 86 75 81 68 5 84 80 79 72 80 6 82 67 94 89 76 7 84 86 95 84 68 8 81 82 84 73 86 9 78 86 86 97 82 Mean 80.00 83.11 86.78 84.11 77.33 82.27 1) SST 46.24 6.42 183.15 30.62 219.04 485.47 2) SSE 188.00 438.89 365.56 598.89 402.00 1993.33 SSTO 2478.80 MST 121.37 MSE 49.83 3) F cal Value = MST/MSE = 2.44 F table value at 5% significance level = 2.606 4) if Fcal > F t,, reject H0 H0: Mean A = Mean B=Mean C = Mean D= Mean EHere accept the H0, The means values are equal i. e Mean A = Mean B=Mean C = Mean D= Mean E
Alternatively, we can use excel to calculate all values directly using one way ANOVA option in data analysis
Related Questions
Hire Me For All Your Tutoring Needs
Integrity-first tutoring: clear explanations, guidance, and feedback.
Drop an Email at
drjack9650@gmail.com
drjack9650@gmail.com
Navigate
Integrity-first tutoring: explanations and feedback only — we do not complete graded work. Learn more.