Blank #2: Determine the correct alternative hypothesis by filling in the blank with <,> or not equals.Blank #3: The test statistic of this test is z = 1.17 with corresponding p-value of p =0.1211. If you were to draw the distribution of the sample proportions under theassumption of the null hypothesis, this p-value is the area in thetail formed by z= 1.17 (left, right or both)Blank #4: Give the test decision: (reject or do not reject) HoBlank #5: Evidence_(favors or does not favor) that the proportion ofboys who benefit from the treatment is greater than the proportion of girlsBlank #6: Once the uncertainty has been built in with the significance test, is thedecision of the test the same as your untested answer in blank #1? (yes or no)Blank # 1Blank # 2Blank # 3Blank # 4Blank # 5Blank # 6 A child psychologist believe that controlled physical outbursts of anger (like punchinga pillow) may improve the mood of young boys with emotional impairment. Hebelieves that the proportion of boys who benefit from the treatment is greater thanthe proportion of girls. A random sample from each population receives counselingin the treatment and is asked about their mood after an episode (x is the number oftest subjects that reported an improvement in mood). The results of the study aresummarized in the table below.Boysn1 = 200Girlsn2 = 210%3D%3DX1 = 35X2 = 28Blank #1: Find the two sample proportions, reporting each as a decimal, rounded totwo decimal places. Do the initial (untested) findings show what the researcherexpected? Enter your answer as a list of 3 items: P1, P2, yes or no. Do notadd any extra spaces and pay attention to rounding. For example, a valid answermay look like .52,.14,yes or .25,.50,no.Untested, you compared them but you could have done that before you took statsclass:) Comparing the sample proportions does not build in any uncertainty orvariation into the estimates; thus we use inference procedures such as confidenceintervals and significance tests to do so.Let 1 be boys and 2 be girls. To explore the suspicion above, conduct a significancetest using the hypotheses:Pi = P2P1._P2

Solution : Boys , n1 = 200 , x1 = 35 Girls , n2 = 210 , x2 = 28 Let P1 be the proportion of Boys and…

Blank #2: Determine the correct alternative hypothesis by filling in the blan - or not equals. Blank #3: The test statistic of this test is z = 1.17 with corresponding p-valu 0.1211. If you were to draw the distribution of the sample proportions unde assumption of the null hypothesis, this p-value is the area in the tail formed by z= 1.17 (left, right or both) Blank #4: Give the test decision: (reject or do not reject) Ho Blank #5: Evidence poys who benefit from the treatment is greater than the proportion of girls _(favors or does not favor) that the propo Blank #6: Once the uncertainty has been built in with the significance test, decision of the test the same as your untested answer in blank #1? (yes or r Blank # 1 Blank # 2 Blank # 3 Blank # 4 Blank # 5 Blank # 6

Blank #2: Determine the correct alternative hypothesis by filling in the blan - or not equals. Blank #3: The test statistic of this test is z = 1.17 with corresponding p-valu 0.1211. If you were to draw the distribution of the sample proportions unde assumption of the null hypothesis, this p-value is the area in the tail formed by z= 1.17 (left, right or both) Blank #4: Give the test decision: (reject or do not reject) Ho Blank #5: Evidence poys who benefit from the treatment is greater than the proportion of girls _(favors or does not favor) that the propo Blank #6: Once the uncertainty has been built in with the significance test, decision of the test the same as your untested answer in blank #1? (yes or r Blank # 1 Blank # 2 Blank # 3 Blank # 4 Blank # 5 Blank # 6

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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