In: Statistics and Probability
A food safety guideline is that the mercury in fish should be below 1 part per million (ppm). Listed below are the amounts of mercury (ppm) found in tuna sushi sampled at different stores in a major city. Construct a % confidence interval estimate of the mean amount of mercury in the population. Does it appear that there is too much mercury in tuna sushi?
0.60 0.71 0.10 0.96 1.34 0.54 0.92
What is the confidence interval estimate of the population mean ?
Step 1:
Ho: ≥ 1
Ha: < 1
Step 2: Test statistics
n = 7
sample mean = 5.17 / 7 = 0.7386
sample sd = s
data | data-mean | (data - mean)2 |
0.60 | -0.1386 | 0.01920996 |
0.71 | -0.0286 | 0.00081796 |
0.10 | -0.6386 | 0.40780996 |
0.96 | 0.2214 | 0.04901796 |
1.34 | 0.6014 | 0.36168196 |
0.54 | -0.1986 | 0.03944196 |
0.92 | 0.1814 | 0.03290596 |
s = 0.3896
Assuming that the data is normally distributed and also as the population sd is not given, we will use t stat.
t = -1.775
Step 3:
Assuming =0.05
t critical for left tailed test = - 1.9432
As t stat does not fall in the rejection area, we fail to reject the Null hypothesis.
Confidence interval
t value for CI = TINV(0.05, 6) = 2.447
CI = mean +/- E = 0.7386 +/- 0.360
CI = 0.378 , 1.099
As 1 is in the CI range, we fail to reject the Null hypothesis.