In: Statistics and Probability
2. A new method is developed to determine the content of sodium in a biscuit sample. Student A gets the following results: 24.2, 23.9, 25.0, 23.7 and 25.2 mg, while student B obtains 22.6, 21.9, 23.2 and 23.1 mg.
(a) Report 95% confidence interval of their results individually. Why the standard deviations are non-zero?
(b) At the 95% confidence level, does one of them get more reproducible measurements?
(c) At the 95% confidence level, do they obtain different results? What about 90% confidence level?
(d) According to the manufacturer, the sodium content in the biscuit is 24.0 mg. Comment whether student B’s results are reliable at 90% confidence level.
(e) The results from student C are 25.3, 25.4, 24.9, 25.0, 23.2 and 24.5 mg. Determine whether there is an outlier at the confidence level of 95%? What about 90%?
(a) Report 95% confidence interval of their results individually. Why the standard deviations are non-zero?
24.4000 | mean A |
0.6671 | std. dev. |
0.2983 | std. error |
5 | n |
4 | df |
23.57 | confidence interval 95.% lower |
25.23 | confidence interval 95.% upper |
0.8283 | margin of error |
The 95% confidence interval for Student A is between 23.57 and 25.23.
22.7000 | mean B |
0.5944 | std. dev. |
0.2972 | std. error |
4 | n |
3 | df |
21.75 | confidence interval 95.% lower |
23.65 | confidence interval 95.% upper |
0.9459 | margin of error |
The 95% confidence interval for Student B is between 21.75 and 23.65.
The standard deviations are non-zero because the values are far from the mean.
(b) At the 95% confidence level, does one of them get more reproducible measurements?
Yes, Student A gets more reproducible measurements.
(c) At the 95% confidence level, do they obtain different results? What about 90% confidence level?
24.4000 | mean A |
0.6671 | std. dev. |
0.2983 | std. error |
5 | n |
4 | df |
23.76 | confidence interval 90.% lower |
25.04 | confidence interval 90.% upper |
0.6360 | margin of error |
The 90% confidence interval for Student A is between 23.76 and 25.04.
22.7000 | mean B |
0.5944 | std. dev. |
0.2972 | std. error |
4 | n |
3 | df |
22.00 | confidence interval 90.% lower |
23.40 | confidence interval 90.% upper |
0.6994 | margin of error |
The 90% confidence interval for Student B is between 22.00 and 23.40.
Yes, they do obtain different results at the 90% confidence level.
(d) According to the manufacturer, the sodium content in the biscuit is 24.0 mg. Comment whether student B’s results are reliable at 90% confidence level.
The 90% confidence interval for Student B is between 22.00 and 23.40.
Since the value 24 is not in the confidence interval, we cannot say that student B’s results are reliable at 90% confidence level.
(e) The results from student C are 25.3, 25.4, 24.9, 25.0, 23.2 and 24.5 mg. Determine whether there is an outlier at the confidence level of 95%? What about 90%?
24.7167 | mean C |
0.8085 | std. dev. |
0.3301 | std. error |
6 | n |
5 | df |
23.87 | confidence interval 95.% lower |
25.57 | confidence interval 95.% upper |
0.8485 | margin of error |
The 95% confidence interval for Student C is between 23.87 and 25.57.
24.7167 | mean C |
0.8085 | std. dev. |
0.3301 | std. error |
6 | n |
5 | df |
24.05 | confidence interval 90.% lower |
25.38 | confidence interval 90.% upper |
0.6651 | margin of error |
The 90% confidence interval for Student C is between 24.05 and 25.38.
There is no outlier in the data.