The answer would be $2.70
Answer with explanation:
Let p be the proportion of adults have heard of the new electronic reader.
Given claim : The accompanying technology display results from a test of the claim that 38% of adults have heard of the new electronic reader.
i.e.
Then , the set of hypothesis will be :-
![H_0: p=0.38\\\\H_a:p\neq0.38](https://tex.z-dn.net/?f=H_0%3A%20p%3D0.38%5C%5C%5C%5CH_a%3Ap%5Cneq0.38)
Since, the alternative hypothesis is two tailed , so the test is two-tailed test.
Also, it is given that the sample size : ![n=1558](https://tex.z-dn.net/?f=n%3D1558)
Number of adults showed that they have heard of a new electronic reader=522
So the sample proportion for adults have heard of the new electronic reader : ![\hat{p}=\dfrac{522}{1558}\approx0.34](https://tex.z-dn.net/?f=%5Chat%7Bp%7D%3D%5Cdfrac%7B522%7D%7B1558%7D%5Capprox0.34)
The test statistic for proportion is given by :-
By using standard normal distribution table , the P-value for two tailed test corresponds to the obtained z-value =![=0.0011541](https://tex.z-dn.net/?f=%3D0.0011541)
<span>For "The probability a business major is female" - you're looking for the probability of being female. That the person is a business major is already given. So, P(A|B)
</span>For "The probability a female student is majoring in business" - you're looking for the probability of being majoring in business. That the person is a female is already given. So, P(B|A)
Answer:
no
Step-by-step explanation:
:)