# MTH310 module11

```Stratford University
MTh 310
Module 11
Provide an appropriate response.
1) Describe parametric and nonparametric tests. Explain why nonparametric tests are important.
2) ___________________ statistical processes are often called distribution free procedures.
Use the sign test to test the indicated claim.
3) Fourteen people rated two brands of soda on a scale of 1 to 5.
At the 5 percent level, test the null hypothesis that the two brands of soda are equally popular.
Use the sign test to test the given alternative hypothesis at the α = 0.05 level of significance.
4) Alternative Hypothesis: the median is more than 55. An analysis of the data reveals that there are 5 minus
signs and 14 plus signs.
Provide an appropriate response.
5) A convenience store owner believes that the median number of newspapers sold per day is 54. A random
sample of 20 days yields the data below. Find the test statistic x to test the owner's hypothesis.
Use α = 0.05.
37 53 64 69 36 60 75 32 38 43
52 59 59 49 49 54 54 64 59 43
6) What is the test statistic, k, if we have a small sample size and the alternative hypothesis of a one-sample
sign test is H1 : M &lt; M0?
7) In a study of the effectiveness of dietary restrictions on weight loss, 20 people were randomly selected to
participate in a program for 30 days. Use the Wilcoxon signed-ranks test to test the hypothesis that dietary
restrictions have no bearing on weight loss. Use α = 0.02.
Weight Before Program
(in Pounds)
178 210 156 188 193 225 190 165 168 200
Weight After Program
(in Pounds)
182 205 156 190 183 220 195 155 165 200
Weight Before Program
(in Pounds)
186 172 166 184 225 145 208 214 148 174
Weight After Program
(in Pounds)
180 173 165 186 240 138 203 203 142 170
Draw a scatter diagram for the given data, compute Spearman's rank correlation coefficient rs, and determine if X and
Y are associated at the α = 0.05 level of significance.
8)
X 1
2
3
6
6
8
Y 1.2 3.7 5.1 5.8 6.2 6.5
1
Use the Mann–Whitney test to test the given hypotheses at the α = 0.05 level of significance. The independent samples
were obtained randomly.
9) Hypotheses: H0: Mx = My versus H1: Mx ≠ My with n1= 24, n2 = 21, and S = 760.
Provide an appropriate response.
10) Use the Wilcoxon matched-pairs signed-ranks test to test the given hypothesis at the α = 0.05 level of
significance. The dependent samples were obtained randomly.
Hypotheses: H0: MD = 0 versus H1: MD ≠ 0 with n = 45, T+ = 189, and T- = 846
11) The nonparametric test used in place of the one-way ANOVA is the
.
12) A medical researcher wishes to try three different techniques to lower the weight of obese patients. The
subjects are randomly selected and assigned to one of three groups. Group 1 is given medication, Group 2 is
given an exercise program, and Group 3 is assigned a diet program. At the end of six weeks, the reduction in
each subject's weight (in pounds) is recorded. Use the Kruskal-Wallis test to test the hypothesis that there is
no difference in the distribution of the populations. Use α = 0.05.
Group 1 Group 2 Group 3
13
10
8
14
7
14
11
4
6
17
5
10
15
6
11
10
2
6
2
Testname: MTH310_MODULE11
1) Parametric tests require assumptions about the nature or shape of the populations involved. Most of the tests we
have worked with have required that the populations be normal. Nonparametric tests do not have requirements as
to parent population.
2) Nonparametric
3) H0: The two brands of soda are equally popular.
H1: The two brands of soda are not equally popular.
Test statistic: x = 3. Critical value: x = 2.
Fail to reject the null hypothesis. There is not sufficient evidence to warrant rejection of the claim that the two
brands are equally popular.
4) H0: M = 55 versus H1: M &gt; 55; k = 5; critical value: 5. Reject H0.
5) 8
6) k is the number of + signs
7) critical value 40; test statistic T = 42.5; fail to reject H0; There is not sufficient evidence to reject the hypothesis.
8)
y
6
5
4
3
2
1
1
2
3
4
5
6
7
8 x
rs = 0.986;
H0: X and Y are not associated versus H0: X and Y are associated.
Critical values: -0.886 and 0.886; reject H0.
9) T = 460; z0 = 4.73, -z0.025 = -1.96, z0.025 = 1.96; Reject H0.
10) z = -3.71; |z| &gt; z0.025 = 1.96; reject H0; There is sufficient evidence that the medians are different.
11) Kruskal-Wallis test
12) critical value 5.991; test statistic H ≈ 10.187; reject H0; The data provide ample evidence that there is a difference in
the distribution of the populations.
3
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