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Deliverable 05 – Worksheet

Instructions: The following worksheet describes two examples – one is an example for independent samples and the other one for dependent samples. Your job is to demonstrate the solution to each scenario by showing how to work through each example in detail. You are expected to explain all of the steps in your own words.

Independent samples: One of our researchers wishes to determine whether people with high blood pressure can reduce their systolic blood pressure by taking a new drug we have developed. The sample data is shown below, where represents the mean blood pressure of the treatment group and represents the mean for the control group. Use a significance level of 0.01 and the critical value method to test the claim that the drug reduces the blood pressure. We do not know the values of the population standard deviations.

Treatment Group

Control Group

n1

80

n2

70

186.7

201.9

s1

38.5

s2

39.8

1. Write the hypotheses in symbolic form, determine if the test is right-tailed, left-tailed, or two tailed and explain why.

Answer and Explanation

Hypothesis:

Null Hypothesis Ho:

Alternative Hypothesis Ha:

From the Hypothesis we conclude that is test is two tailed

2. Calculate the critical value and the test statistic.

Answer and Explanation

The Critical values is calculated using excel function: =TINV(alpha, Df)

Df=n1+n2-2

Df=80+70-2

Alpha=0.01

T-test= -2.369301445

T-critical= ±2.609456331

Calculation done using attached Excel sheet

3. Make a decision about the null hypothesis and explain your reasoning, then make a conclusion about the claim in nontechnical terms.

Answer and Explanation

If the T-test is smaller or greater than T-critical reject the null hypothesis.

Out T-test (T-test= -2.369301445) between the critical (T-critical= ±2.60945633) so fail to reject the null hypothesis and there are insufficient evidence to support the claim so we cannot support the claim that the drug reduces the blood pressure.

Dependent samples

This same new drug was tested on another group, but this time the test was done before the drug was administered, and then tested after the drug was given to the same group. The results are shown in the table below:

Subject

Before

After

1

200

191

2

174

170

3

198

177

4

170

167

5

179

159

6

182

151

7

193

176

8

209

183

9

185

159

10

155

145

11

169

146

12

210

177

Use the data above with a significance level of 0.05 to test the claim that for the populations of blood pressures before and after the drug, the differences have a mean greater than 0 mm Hg (so the claim is that the drug helps lower the blood pressure). Use the P-Value method to determine whether or not to reject the null hypothesis and state your conclusion.

4. Write the hypotheses in symbolic form, determine if the test is right-tailed, left-tailed, or two tailed and explain why.

Answer and Explanation

Hypothesis:

Null Hypothesis Ho:

Alternative Hypothesis Ha:

From the Hypothesis we conclude that is test is two tailed

5. Calculate the test statistic and the P-Value.

Answer and Explanation

The Critical values is calculated using excel function: =TINV (alpha, Df)

Df=n-1

Df=12-1=11

Alpha=0.05

T-Critical ±2.20098516

Calculation done using attached Excel sheet

Calculation done using attached Excel sheet

Calculation done using attached Excel sheet

T-test= -2.369301445

T-critical= ±2.609456331

6. Make a decision about the null hypothesis and explain your reasoning, then make a conclusion about the claim in nontechnical terms.

Answer and Explanation

If P values is less than a=0.05 reject null hypothesis otherwise accept.

In our case P ( < 0.05 so reject the null hypothesis and there are sufficient evidence to support the claim that the drug helps lower the blood pressure.