PRACTICE OF STATS - 1 TERM ACCESS CODE
PRACTICE OF STATS - 1 TERM ACCESS CODE
4th Edition
ISBN: 9781319403348
Author: BALDI
Publisher: Macmillan Higher Education
Question
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Chapter 27, Problem 27.35E
To determine

To explain is there evidence of significant improvement within each group and did the treatment group show significantly greater improvement then the control group.

Expert Solution & Answer
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Answer to Problem 27.35E

Yes, there is evidence of significant improvement within each group but the treatment group showno significantly greater improvement then the control group.

Explanation of Solution

In the question, it is given the scores of the mathematical skills before and after a subliminal message for both the treatment group and control group. Now, to find that whether there evidence of significant improvement within each group, we will perform the Wilcoxon signed rank test for each group by the software. Thus, by performing the Wilcoxon signed rank test for the treatment group let us first find the difference and then the results for the test by software are as follows:

Null hypothesis: There is no difference between them.

Alternative hypothesis: There is evidence of significant improvement within group.

    Treatment
    BeforeAfterDifference Treatment
    1824-6
    1825-7
    2133-12
    1829-11
    1833-15
    2036-16
    2334-11
    2336-13
    2134-13
    1727-10
    DataRank
    -61
    -72
    -126
    -114.5
    -159
    -1610
    -114.5
    -137.5
    -137.5
    -103
    variables:Before - After
    0sum of positive ranks
    55sum of negative ranks
    10 n
    27.50 expected value
    9.50 standard deviation
    -2.89 z, corrected for ties
    .0019 p-value (one-tailed, lower)

As we know that if the P-value is less than or equal to the significance level then the null hypothesis is rejected, so we have,

  P<0.05Reject H0

Thus, we have sufficient evidence to conclude that there is evidence of significant improvement within treatment group.

Thus, now by performing the Wilcoxon signed rank test for the control group let us first find the difference and then the results for the test by software are as follows:

Null hypothesis: There is no difference between them.

Alternative hypothesis: There is evidence of significant improvement within group.

    Control
    BeforeAfterDifference Control
    1829-11
    2429-5
    2024-4
    1826-8
    2438-14
    2227-5
    1522-7
    1931-12
    DataRank
    -116
    -52.5
    -41
    -85
    -148
    -52.5
    -74
    -127
    variables:Before - After
    0sum of positive ranks
    36sum of negative ranks
    8 n
    18.00 expected value
    6.93 standard deviation
    -2.60 z, corrected for ties
    .0047 p-value (one-tailed, lower)

As we know that if the P-value is less than or equal to the significance level then the null hypothesis is rejected, so we have,

  P<0.05Reject H0

Thus, we have sufficient evidence to conclude that there is evidence of significant improvement within control group.

Now, to find did the treatment group show significantly greater improvement then the control group, we will use the Wilcoxon rank sum test by using the software. Thus, the hypotheses will be defined as:

Null hypothesis: The treatment group show no significant improvement then the control group.

Alternative hypothesis: The treatment group show significantly greater improvement then the control group.

    LabelDataRank
    Difference Treatment-615
    Difference Treatment-713.5
    Difference Treatment-126.5
    Difference Treatment-119
    Difference Treatment-152
    Difference Treatment-161
    Difference Treatment-119
    Difference Treatment-134.5
    Difference Treatment-134.5
    Difference Treatment-1011
    Difference Control-119
    Difference Control-516.5
    Difference Control-418
    Difference Control-812
    Difference Control-143
    Difference Control-516.5
    Difference Control-713.5
    Difference Control-126.5
    n sum of ranks  
    1076 Difference Treatment
    895 Difference Control
    18171 total
    95.00 expected value
    11.21 standard deviation
    -1.65 z, corrected for ties
    .9506 p-value (one-tailed, upper)

As we know that if the P-value is less than or equal to the significance level then the null hypothesis is rejected, so we have,

  P>0.05Fail to Reject H0

Thus, we have no sufficient evidence to conclude that the treatment group show significantly greater improvement then the control group.

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