Circumference i need help bad
1 answer:
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Answer and Step-by-step explanation:
A) For the model to be a probability distribution, it has to follow two conditions:
1) The probability of each value of the discrete random variable is between, and included, 0 and 1:
2) The sum of all probabilities is 1;
In the table shown, the probabilities are from 0 to 0.3 - between 0 and 1;
Adding the probabilities: 0 + 0.3 + 0.1 + 0.3 + 0.3 = 1
Therefore, this model is a valid probability distribution model.
B) They are discrete because each value correspond to a finite number of possible values.
C) Expected value is calculated by
E(X) = 2.6
D) P(X=3) = P(3), which means probability of 3:
P(X=3) = 0.3
E) P(X<4): probabilities of values of X that are less than 4:
P(X<4) = P(0) + P(1) + P(2) + P(3)
P(X<4) = 0 + 0.3 + 0.1 + 0.3
P(X<4) = 0.7
F) P(X>0) = P(1) + P(2) + P(3) + P(4)
P(X>0) = 0.3 + 0.1 + 0.3 + 0.3
P(X>0) = 1
G) P(X=5) = P(5)
There is no probability of P(5) because the model doesn't "cover" that number.
H) P(X=0) = P(0)
P(X=0) = 0
I) The total area of any density curve is 1 because it represents all the possible values a variable can assume.
The question is not complete, so i have attached it.
Answer:
A) Option B: μ ≤ 19,000
B) Option C:
H0: μ ≤ 19,000
Ha: μ > 19,000
C) Option D: The null hypothesis H0: μ ≤ 19,000 is the claim
Step-by-step explanation:
A) From the question, we are told that an amusement park claims that the mean daily attendence at the park is at most 19,000 people.
Now, since it's at most 19000 people, it means that they are either 19000 or less. So the claim is;
μ ≤ 19,000 which is option B
B) Now, the claim is usually the null hypothesis. Thus, the null hypothesis is;
H0: μ ≤ 19,000
While the alternative hypothesis which states the opposite of the claim is;
Ha: μ > 19,000
So, option C is the correct answer
C) The claim is μ ≤ 19,000
Now, this also happens to be the null hypothesis.
Thus, the null hypothesis H0: μ ≤ 19,000 is the claim.
So option D is correct.
