Answer:
The probability that the sample proportion is between 0.35 and 0.5 is 0.7895
Step-by-step explanation:
To calculate the probability that the sample proportion is between 0.35 and 0.5 we need to know the z-scores of the sample proportions 0.35 and 0.5.
z-score of the sample proportion is calculated as
z= where
- p(s) is the sample proportion of first time customers
- p is the proportion of first time customers based on historical data
For the sample proportion 0.35:
z(0.35)= ≈ -1.035
For the sample proportion 0.5:
z(0.5)= ≈ 1.553
The probabilities for z of being smaller than these z-scores are:
P(z<z(0.35))= 0.1503
P(z<z(0.5))= 0.9398
Then the probability that the sample proportion is between 0.35 and 0.5 is
P(z(0.35)<z<z(0.5))= 0.9398 - 0.1503 =0.7895
Answer:
D. No, he chose members that were not part of the population
Step-by-step explanation:
A random sample is a sampling technique in which each sample has an equal chance of being chosen. For example, blindly selecting five names from a hat filled with named sheets of paper is a random sample.
Daniel's sample is not random because each sample did not have an equal probability of being chosen. All names he does not recognize are immediately eliminated from being chosen. With this, we can eliminate choices A and B.
Daniel did not chose names from the town he was collecting data for. He chose ones from his own neighborhood. It wasn't in the population he was focusing on.
Therefore, the best answer is D.
hope this helps :)
X+40 =3x (vertical angles)
2x = 40
x = 20
answer is A. 20 (first choice)
Answer:
Consider: (a+b)(a-b)=a^2-ab+ab-b^2=a^2-b^2. This is a binomial. Hence, it is not always true that the product of two binomials is a trinomial.
Step-by-step explanation:
Answer:
I don't have a problem at this question as to what is the answer for the