2. A study was designed to compare the smoking habits of married men with those married women. A random sample of 240 men revealed that 180 smoked. A random sample of 220 women indicate that 54 smoked. At the 0.01 significance level does the evidence show that a higher proportion of men smoke? Solution: Step 1: State the hypotheses. Step 2: The level of significance and the critical region. and Step 3: Compute the value of z test for proportions. Step Decision rule, Step 5: Conclusion.

2. A study was designed to compare the smoking habits of married men with those married women. A random sample of 240 men revealed that 180 smoked. A random sample of 220 women indicate that 54 smoked. At the 0.01 significance level does the evidence show that a higher proportion of men smoke? Solution: Step 1: State the hypotheses. Step 2: The level of significance and the critical region. and Step 3: Compute the value of z test for proportions. Step Decision rule, Step 5: Conclusion.

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Description: 2. A study was designed to compare the smoking habits of married men with thosemarried women. A random sample of 240 men revealed that 180 smoked. A randomsample of 220 women indicate that 54 smoked. At the 0.01 significance level does theevidence s

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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n 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 25 30 35 40 45 50 60 70 80 90 100 n x=0.05 0.950 0.878 0.811 0.754 0.707 0.666 0.632 0.602 0.576 0.553 0.532 0.514 0.497 0.482 0.468 0.456 0.444 0.396 0.361 0.335 0.312 0.294 0.279 0.254 0.236 0.220 0.207 0.196 α = 0.05 α = 0.01 0.990 0.959 0.917 0.875 0.834 0.798 0.765 0.735 0.708 0.684 0.661 0.641 0.623 0.606 0.590 0.575 0.561 0.505 0.463 0.430 0.402 0.378 0.361 0.330 0.305 0.286 0.269 0.256 α = 0.01 NOTE: To test Ho: p=0 against H₁: p0, reject Ho if the absolute value of ris greater than the critical value in the table.
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6. A clinical trial is conducted comparing a new pain reliever for arthritis to a placebo. Participants are randomly assigned to receive the new treatment or a placebo and the outcome is pain relief within 30 minutes. The data are shown in Table 7–54. Is there a significant difference in the proportions of patients reporting pain relief? Run the test at a 5% level of significance.
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