Answer:
50%
Step-by-step explanation:
Let :
Winter = W
Summer = S
P(W) = 0.85
P(S) = 0.65
Recall:
P(W u S) = p(W) + p(S) - p(W n S)
Since, none of them did not like both seasons, P(W u S) = 1
Hence,
1 = 0.85 + 0.65 - p(both)
p(both) = 0.85 + 0.65 - 1
p(both) = 1.50 - 1
p(both) = 0.5
Hence percentage who like both = 0.5 * 100% = 50%
Answer:
D: Reject the claim that the percentage of children who suffer from the disorder is equal to 10% when that percentage is actually 10%.
Step-by-step explanation:
In statistics, type I error is when we reject the null hypothesis even when it is true.
Now, the claim which is the null hypothesis is that that 10 % of children suffer from a certain disorder.
This means that a type I error will be;
Reject the claim that the percentage of children who suffer from the disorder is equal to 10% when that percentage is actually 10%.
The answer is 9 for this one
Answer:
A recent Harris poll asked a random sample of 1016 adults nation-wide whether or not they smoked cigarettes. 22% said they smoked. Based on this sample, can you conclude that...
a.) The expected value for the percent of all adults world-wide who would say they smoked cigarettes is 22%?
b). The expected value for the percent of students at UI who would say they smoked cigarettes is 22%?
c). The expected value for the percent of professors at UI who would say they smoked cigarettes is 22%?
d). The expected value for the percent of all US adults who would say they smoked cigarettes is 22%?
The correct answer is
d).The expected value for the percent of all US adults who would say they smoked cigarettes is 22%?
Step-by-step explanation:
The expected value is arrived at by finding the product of a possible output and the probability that the output will occur and summing up the results. Expected value can be used for investment management to calculate options and make decisions most likely to bring about the desired gain. The random variable provides categorisation of the outcomes of the game while the expected provides the probability of aan outcome
In the above, the source of the sample is nationwide whereby 22 % said they smoked therefore it cannot be applied to a different population that has a different expected value for the same survey.
