Answer: I love math, but I am not for sure on this one. But I think it is A,D, and C. I am not for sure on C. But I think so. But I Hope I helped you. I am not super duper smart. I am only in 6th grade. But I am pretty smart. Anyways have a great day. BYYYE
Answer:
p-value
Step-by-step explanation:
When performing any hypothesis test the first step is to formulate Null Hypothesis and Alternate Hypothesis. Next we calculate the test statistic and based on the test statistic we calculate a p-value.
This p-value gives the probability of obtaining the test result which is as atleast as extreme as our original test result, if the Null hypothesis is assumed to be true.
So, this means, the null hypothesis is assumed to be true and the statistical test is performed which gives a p-value. p-value gives a measure in terms of probability that how true is the result.
A higher p-value means probability occurrence of hypothesized value of Null Hypothesis is larger, so we accept the Null Hypothesis. A small p-value indicates the probability of occurrence of hypothesized value is very small, and, therefore, the null hypothesis must be rejected.
Answer:
a. Yes. This provides convincing evidence that the true proportion of all attendees who ate the fish that got sick (80%) is more than the true proportion of all attendees who did not eat the fish that got sick.
b. The mistake here would have been the rejection of the Doctor's theory or hypothesis to the effect that more attendees who ate the fish got sick than those who did not eat the fish. This is a Type 1 error. A Type 1 error occurs when a null hypothesis is rejected when it is true. On the other hand, a Type II error occurs when the null hypothesis is accepted when it should be rejected. While a Type I error is equivalent to a false positive, a Type II error is equivalent to a false negative.
Step-by-step explanation:
Total number of attendees who ordered fish = 1,000
Sample size of the attendees who ate fish = 80
Number of attendees who ate the fish and got sick = 64 (80% or 64/80)
Sample size of attendees who did not eat fish = 60
Number of attendees who did not eat fish and got sick = 39 (65% or 39/60)
Answer:
200
Step-by-step explanation:
15% × ? = 30
? =
30 ÷ 15% =
30 ÷ (15 ÷ 100) =
(100 × 30) ÷ 15 =
3,000 ÷ 15 =
200
The answer is no..........