In: Statistics and Probability
Listed below are the lead concentrations in μg/g measured in different traditional medicines. Use a 0.01 significance level to test the claim that the mean lead concentration for all such medicines is less than 16 μg/g.
21
33
6.5
20.5
9.5
13.5
16.5
15.5
13.5
99
What are the null and alternative hypotheses?
Determine the test statistic
State the final conclusion that addresses the original claim.
(Reject or Fail to Reject) H0. There is (not sufficient or sufficient) evidence to conclude that the mean lead concentration for all such medicines is (greater than or not or equal to or less than) 16 μg/g.
Step 1:
Ho: ≥ 16
Ha: < 16 (Claim)
Step 2: Test statistics
n = 10
sample mean = 248.50 / 10 = 24.85
sample sd = s
data | data-mean | (data - mean)2 |
21.00 | -3.85 | 14.8225 |
33.00 | 8.15 | 66.4225 |
6.50 | -18.35 | 336.7225 |
20.50 | -4.35 | 18.9225 |
9.50 | -15.35 | 235.6225 |
13.50 | -11.35 | 128.8225 |
16.50 | -8.35 | 69.7225 |
15.50 | -9.35 | 87.4225 |
13.50 | -11.35 | 128.8225 |
99.00 | 74.15 | 5498.2225 |
Assuming that the data is normally distributed and also as the population sd is not given, we will use t stat.
Step 3:
df = 9
= 0.01
The t-critical value for a left-tailed test, for a significance level of α=0.01
tc = −2.821
As t stat (1.035) does not fall in the rejection region, we fail to reject the Null hypothesis.
Fail to Reject H0. There is not sufficient evidence to conclude that the mean lead concentration for all such medicines is less than16 μg/g.