Answer:
the probability is 90% that the sample percentage is contained within 45.5% and 54.5% symmetric limits of the population percentage.
Explanation:
From the given information:
Sample size n = 200
The standard deviation for a sampling distribution for two brands are equally likely because the individual has no ability to discriminate between the two soft drinks.
∴
The population proportion
= 1/2 = 0.5
NOW;
![\sigma _p = \sqrt{(p_o(1-p_o))/(n)}](https://img.qammunity.org/2021/formulas/mathematics/college/lph0cto56aj797g3zew9bge0yed1jrtg9e.png)
![\sigma _p = \sqrt{(0.5(1-0.5))/(200)}](https://img.qammunity.org/2021/formulas/mathematics/college/a87u1sxv0tijmm51oyf9j9uylofqd1939j.png)
![\sigma _p = \sqrt{(0.5(0.5))/(200)}](https://img.qammunity.org/2021/formulas/mathematics/college/9ojxff51xtsd3tmlmzh7830xs7a4xffi64.png)
![\sigma _p = \sqrt{(0.25)/(200)}](https://img.qammunity.org/2021/formulas/mathematics/college/egglncxui0tsmi125i79h8a7lwg311yfqo.png)
![\sigma _p = √(0.00125)](https://img.qammunity.org/2021/formulas/mathematics/college/zd2nvjs56lpp608z6c28lyrgrder0ljdc1.png)
![\sigma _p = 0.035355](https://img.qammunity.org/2021/formulas/mathematics/college/5x9w3umu2z86fwrlbpdumwhk3384mt27ed.png)
However, in order to determine the symmetrical limits of the population percentage given that the z probability is 90%.
we use the Excel function as computed as follows in order to determine the z probability = NORMSINV (0.9)
z value = 1.281552
Now the symmetrical limits of the population percentage can be determined as: ( 1.28, -1.28)
![1.28 = (X - 0.5)/(0.035355)](https://img.qammunity.org/2021/formulas/mathematics/college/e246hwzqrodx1iduc6d83pnzg1snwrwfv3.png)
1.28 × 0.035355 = X - 0.5
0.0452544= X - 0.5
0.0452544 + 0.5 = X
0.5452544 = X
X
0.545
X = 54.5%
![-1.28 = (X - 0.5)/(0.035355)](https://img.qammunity.org/2021/formulas/mathematics/college/j5j3kv4ic830p1h8d5tdx0vkope1kwbz79.png)
- 1.28 × 0.035355 = X - 0.5
- 0.0452544= X - 0.5
- 0.0452544 + 0.5 = X
0.4547456 = X
X
0.455
X = 45.5%
Therefore , we can conclude that the probability is 90% that the sample percentage is contained within 45.5% and 54.5% symmetric limits of the population percentage.