You must determine if two fabrication processes generating Part X are significan
ID: 3128869 • Letter: Y
Question
You must determine if two fabrication processes generating Part X are significantly different from each other. At this point, you don't know if the mean length of parts made with Fabrication Process 1 is greater than or less than that of Fabrication Process 2 Are the population means of the two processes statistically different with a 05% confidence level? Write both the null and alternate hypotheses. The descriptive statistics are as follows: Fabrication Process 1: Xbar_1= 23.6cm, S_1 = 7.1cm, n_1 = 15 Fabrication Process 2: Xbar_2=19.1cm, S_1 = 6.5cm, n_2 = 17 Now. you must determine if a new cholesterol drug is effective. You know that the drug lowers blood pressure but are not sure if the difference is significant. With 99% confidence, is there a statistically significant difference in blood pressure (mmHg) before and after administration of the drug? Five patients were sampled before and after drug administration. Write the null and alternate hypothesis.Explanation / Answer
1.
Formulating the null and alternative hypotheses,
Ho: u1 - u2 = 0
Ha: u1 - u2 =/ 0
At level of significance = 0.05
As we can see, this is a two tailed test.
Calculating the means of each group,
X1 = 23.6
X2 = 19.1
Calculating the standard deviations of each group,
s1 = 7.1
s2 = 6.5
Thus, the standard error of their difference is, by using sD = sqrt(s1^2/n1 + s2^2/n2):
n1 = sample size of group 1 = 15
n2 = sample size of group 2 = 17
Thus, df = n1 + n2 - 2 = 30
Also, sD = 2.417842175
Thus, the t statistic will be
t = [X1 - X2 - uD]/sD = 1.861163663
where uD = hypothesized difference = 0
Now, the critical value for t is
tcrit = +/- 2.042272456
Also, using p values,
p = 0.072546277
As |t| < 2.042, and P > 0.05, then we fail to reject Ho.
There is no significant evidence that at 95% confidence that the population means of the two processes are different. [CONCLUSION]
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If you use another method/formula in calculating the degrees of freedom in this t-test, please resubmit this question together with the formula/method you use in determining the degrees of freedom.
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