In: Statistics and Probability
Q4) The following yields were recorded by using two agricultural products.
Perform a two sample hypothesis test to consider if the yields for product A and product B are different. Use the default significance level of α=0.05.
You may assume that the population variances for product A and B are equal.
You should take the mean of Yield A first in your test statistic.
Yield A |
Yield B |
452 |
546 |
874 |
547 |
554 |
774 |
447 |
465 |
356 |
459 |
754 |
665 |
558 |
467 |
574 |
365 |
664 |
589 |
682 |
534 |
547 |
456 |
435 |
651 |
245 |
665 |
546 |
|
537 |
|
654 |
(1 Mark)
(1 Mark)
Q5) 184 patients with coronavirus have been hospitalised in the city hospital. 92 have been treated with anti-viral medication and 92 have not.
Perform a hypothesis test to determine if there is an association between patients being given anti-viral drugs and developing pneumonia. Use a 5% level of significance.
The Observed frequencies are presented in the table below.
Treated with anti-viral drugs |
|||
With drugs |
No drugs given |
Total |
|
Pneumonia |
31 |
15 |
46 |
No pneumonia |
61 |
77 |
138 |
Total |
92 |
92 |
184 |
Expected Values |
|||
With drugs |
No drugs given |
Total |
|
Pneumonia |
46 |
||
No pneumonia |
138 |
||
Total |
92 |
92 |
184 |
(state accurate to 4dp)
Contributions to the χ2 test statistic |
||
With drugs |
No drugs given |
|
Pneumonia |
2.7826 |
|
No pneumonia |
0.9275 |
(1 mark)
(1 mark)
Q6) A sample of the various prices for a particular product has been conducted in 16 stores which were selected at random in a city. The following prices were noted, in GBP:
95, 108, 97, 112, 99, 106, 105, 100, 99, 98, 104, 110, 107, 111, 103, 110.