Two popular drugs used for the treatment of depression are Resithan and Exemor. A random sample of 402 depressed individuals is selected and treated with Resithan, and 122 find relief from their depression. A random sample of 439 depressed individuals is independently selected from the first sample and treated with Exemor, and 158 find relief from their depression. Can we conclude, at the 0.1 level of significance, tha the proportion p, of depressed individuals taking Resithan who find relief from depression is less than the proportion p, of all depressed individuals taking Exemor who find relief from depression? Perform a one-tailed test. Then complete the parts below. Carry your intermediate computations to three or more decimal places and round your answers as specified in the parts below. (If necessary, consult a list of formulas.)

Two popular drugs used for the treatment of depression are Resithan and Exemor. A random sample of 402 depressed individuals is selected and treated with Resithan, and 122 find relief from their depression. A random sample of 439 depressed individuals is independently selected from the first sample and treated with Exemor, and 158 find relief from their depression. Can we conclude, at the 0.1 level of significance, tha the proportion p, of depressed individuals taking Resithan who find relief from depression is less than the proportion p, of all depressed individuals taking Exemor who find relief from depression? Perform a one-tailed test. Then complete the parts below. Carry your intermediate computations to three or more decimal places and round your answers as specified in the parts below. (If necessary, consult a list of formulas.)

Name: (a) State the null hypothesis H, and the alternative hypothesis H,.Ho
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Description: (a) State the null hypothesis H, and the alternative hypothesis H,.HoH :0(b) Determine the type of test statistic to use.|(Choose one)(c) Find the value of the test statistic. (Round to three or more decimal places.)(d) Find the critical value at th

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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Two popular drugs used for the treatment of depression are Resithan and Exemor. A random sample of 590 depressed individuals is selected and treated with Resithan, and 203 find relief from their depression. A random sample of 481 depressed individuals is independently selected from the first sample and treated with Exemor, and 179 find relief from their depression. Can we conclude, at the 0.05 level of significance, that the proportion p1 of depressed individuals taking Resithan who find relief from depression is less than the proportion p2 of all depressed individuals taking Exemor who find relief from depression? Perform a one-tailed test. The null hypothesis: H0: The alternative hypothesis: H1: The type of test statistic: (Choose one)ZtChi squareF The value of the test statistic:(Round to at least three decimal places.) The critical value at the 0.05 level of significance:(Round to at least three…
Two popular drugs used for the treatment of depression are Resithan and Exemor. A random sample of 510 depressed individuals is selected and treated with Resithan, and 187 find relief from their depression. A random sample of 474 depressed individuals is independently selected from the first sample and treated with Exemor, and 152 find relief from their depression. Can we conclude, at the 0.05 level of significance, that the proportion p1 of all depressed individuals taking Resithan who find relief from depression differs from the proportion p2 of all depressed individuals taking Exemor who find relief from depression? Perform a two-tailed test. Then complete the parts below. Carry your intermediate computations to three or more decimal places and round your answers as specified in the parts below. (If necessary, consult
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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