In: Statistics and Probability
When subjects were treated with a drug, their systolic blood pressure readings (in mm Hg) were measured before and after the drug was taken. The results are given in the table below. Assume that the paired sample data is a simple random sample and that the differences have a distribution that is approximately normal. Using a 0.050 significance level, is there sufficient evidence to support the claim that the drug is effective in lowering systolic blood pressure?
Before: 205 159 208 195 205 210 207 157 189 167 164 169
After: 176 163 183 176 143 179 189 152 155 177 148 186
In this example, Md is the mean value of the differences d for the population of all pairs of data, where each individual difference d is defined as the systolic blood pressure reading before the drug was taken minus the reading after the drug was taken. What are the null and alternative hypotheses for the hypothesis test?
Thank you in advance.
Here, we have given that,
The Paired sample data Xi and Yi and the difference Di is approximately normally distributed.
Xi: Before the drug measurement of Systolic blood pressure
Yi: After the drug measurement of Systolic blood pressure
Xi (Before) | Yi (After) | Difference Di=Xi-Yi |
205 | 176 | 29 |
159 | 163 | -4 |
208 | 183 | 25 |
195 | 176 | 19 |
205 | 143 | 62 |
210 | 179 | 31 |
207 | 189 | 18 |
157 | 152 | 5 |
189 | 155 | 34 |
167 | 177 | -10 |
164 | 148 | 16 |
169 | 186 | -17 |
n=number of observations= 12
= sample mean of differences =
=
=
Sd= sample standard deviation of differences
=
=
= 21.73
we are using paired t-test to test the hypothesis.
Claim: To check whether the drug is effective in lowering systolic blood pressure.
The null and alternative hypothesis is as follows,
v/s
where = the mean value of the differences d for the population of all pairs of data.
Now,
Now, we can find the test statistic
Now, first, we find the
=
=6.272
Now,
=
= 2.764
we get the test statistics is 2.764
Now, we want to find the p-value
Degrees of freedom=n-1=12-1=11
= level of significance=0.05
This is left one-tailed test as our interest is to see the drug in lowering the systolic blood pressure,
P-value =1- P( T > statistics)
= 1- 0.0092( using EXCEL =TDIST( |t-statistics |= 2.020,D.F=11,tail=1))
=0.9908
we get the p-value is 0.9908
Decision:
P-value (0.9908) > 0.05 ()
Conclusion:
That is we fail to reject Ho (Null Hypothesis)
There is not sufficient evidence to support the claim the drug is effective in lowering systolic blood pressure.