Formulate a null and an alternative hypothesis for a


Problem : Two-Sample Inferences

A two-sample inference deals with dependent and independent inferences. In a two-sample hypothesis testing problem, underlying parameters of two different populations are compared.

In a longitudinal (or follow-up) study, the same group of people is followed over time. Two samples are said to be paired when each data point in the first sample is matched and related to a unique data point in the second sample.

This problem demonstrates inference from two dependent (follow-up) samples using the data from the hypothetical study of new cases of tuberculosis (TB) before and after the vaccination was done in several geographical areas in a country in sub-Saharan Africa. Conclusion about the null hypothesis is to note the difference between samples.

The problem that demonstrates inference from two dependent samples uses hypothetical data from the TB vaccinations and the number of new cases before and after vaccination.

Table: Cases of TB in Different Geographical Regions

Geographical
regions

Before
vaccination

After
vaccination

1

85

11

2

77

5

3

110

14

4

65

12

5

81

10

6

70

7

7

74

8

 

84

11

Table (μ = 100 seconds and σ = 40)

Child

Mean seconds of concentration in
an experiment of reading

z-score

p-value

1

75

-0.63

 

2

81

-0.48

 

3

89

-0 28

 

4

99

-0.03

 

5

115

0.38

 

6

127

0.68

 

7

138

0.95

 

8

139

0.98

 

9

142

1.05

 

10

148

1.20

 

Refer to the Assignment Resources on this page for Two Independent Samples of t-Test to view an example of probability using standard variable and normal distribution tables. The same resource is also available under lecture Estimation and Hypothesis Testing.

Using the Minitab statistical analysis program to enter the data and perform the analysis, complete the following:

• Construct a one-sided 95% confidence interval for the true difference in population means.

• Test the null hypothesis that the population means are identical at the 0.05 level of significance.

In addition, in a Microsoft Word document, provide a written interpretation of your results in APA format.

Problem: Cross-Sectional Study

In a cross-sectional study, the participants are seen at only one point of time. Two samples are said to be independent when the data points in one sample are unrelated to the data points in the second sample.

The problem that demonstrates inference from two independent samples will use hypothetical data from the American Association of Poison Control Centers.

There are two groups of independent data collected in different regions, which also calls for a Mest. The numbers represent the number of recorded cases of poisoning with chemicals in the homes of 100,000 people in two regions.

Table: Cases of Poisoning With Chemicals

Year

Region 1

Region 2

1

150

11

2

160

10

3

132

14

4

110

12

5

85

10

6

45

11

       7

123

9

8

180

11

9

143

10

10

150

14

Using the Minitab statistical analysis program to enter the data and perform the analysis, complete the following:

• Formulate a null and an alternative hypothesis for a two-sided test
• Conduct the test at the 0.05 level of significance.

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Anonymous user

4/20/2016 6:41:40 AM

Please read the problem and information provided above carefully and provide solution to the applied statistics problem. In the cross-sectional study, the participants are observing at only one point of time. Two samples are stated to be independent if the data points in one sample are not related to the data points in second sample. The problem which illustrates inference from the two independent samples will make use of hypothetical data from the American Association of Poison Control Centers. There are 2 groups of independent data collected in various regions, which as well calls for a Mest. The numbers symbolize the number of recorded cases of poisoning by chemicals in the homes of 100,000 people in two areas. By using the Minitab statistical assessment program to enter the data and carry out the analysis, complete the given: a) Prepare a null and an alternative hypothesis for the two-sided test. b) Carry out the test at 0.05 level of significance.