The answer is Vertical angles are equal.
Answer:
The probability that the sample mean is more than 110 is 0.0384.
Step-by-step explanation:
According to the Central Limit Theorem if we have an unknown population with mean <em>μ</em> and standard deviation <em>σ</em> and appropriately huge random samples (n > 30) are selected from the population with replacement, then the sampling distribution of the sample mean will be approximately normally distributed.
Then, the mean of the sampling distribution of sample mean is given by:
And the variance of the sampling distribution of sample mean is given by:
The information provided is:
Since <em>n</em> = 50 > 30, the central limit theorem can be applied to approximate the sampling distribution of sample mean by the normal distribution.
The mean variance of the sampling distribution for the sample mean are:
That is, .
Compute the probability that the sample mean is more than 110 as follows:
*Use a <em>z</em>-table.
Thus, the probability that the sample mean is more than 110 is 0.0384.
The best answer is "The buyer paid over 20% of the sales price of the home as a down payment." This indicates that not only is the buyer paying above the minimum down payment, which means he/she has more cash than the minimum needed to purchase the home, but also that the monthly payments, interest, and total loan will be lower. All of this indicates a less risky prospective borrower.
Answer:
It has been scaled down by 3.
Step-by-step explanation: