7. Which of the following is true when finding the probability based on – sampling distribution?...

7. Which of the following is true when finding the probability based on – sampling distribution?

A. Normality is given by BOTH the population being normal and n ≥ 30

B. Normality is given by BOTH np ≥ 5 and nq ≥ 5.

C. We have to either add or subtract .5 to the x-value to make our answer more accurate.

D. To find the standard error of the mean we take the population standard deviation and divide by the square root of the sample size.

E. None of the above – all are false.

Expert Solution

orchestra answered 2 years ago

Find the probability of a correct result by finding the probability of a true positive or...

Find the probability of a correct result by finding the probability of a true positive or a true negative.

If n1<n2 and n3<n2, which of the following statements are true when it comes to finding...

If n1<n2 and n3<n2, which of the following statements are true when it comes to finding out if you have destructive interference of the reflected rays? You do need to know if n1 is bigger or smaller than n3. You cannot make any calculations unless you know the numerical value of n3. You cannot make any calculations unless you know the numerical value of n2. The reflected ray from the interface between medium 1 and medium 2 will undergo a...

Which of the following is true about finding the present value of cash flows? Finding the...

Which of the following is true about finding the present value of cash flows? Finding the present value of cash flows tells you what a cash flow will be worth in future years at a specified rate of return Finding the present value of cash flows tells you how much you need to invest today so that it grows to a given future amount at a specified rate of return. Which of the following investments that pay will $6,000 in 7 years will...

True of False the sampling distribution of a parameter is the distribution of the parameter value...

True of False the sampling distribution of a parameter is the distribution of the parameter value if repeated random samples are obtained The central lmit theorem is important in statistics because for a large random sample, it says the sampling distribution of the sample mean is approximately normal

Which is true for the sampling distribution of the sample mean (note multiple answers may be...

Which is true for the sampling distribution of the sample mean (note multiple answers may be correct)? A. The standard deviation for the sample mean is always less than the standard deviation for the underlying population that created the mean. B. The sample mean will only follow a normal distribution if the sample from which the mean was constructed is also a normal distribution. C. The sample mean will follow a normal distribution only if the sample constructing the mean...

The following require calculating the probability of the specified event based on an assumed probability distribution....

The following require calculating the probability of the specified event based on an assumed probability distribution. Remember to consider whether the event involves discrete or continuous variables. You are measuring height of vegetation in a grassland using a Robel pole and a 5 m. radius. Based on 100 random samples from the grassland, you obtain a mean height of 0.6 m with a standard deviation of 0.04 m2. a) What distribution is the appropriate reference for this problem? b) Ninety...

1-6:True or False? 1) The sampling distribution of a statistic is the distribution that is formed...

1-6:True or False? 1) The sampling distribution of a statistic is the distribution that is formed using the computed statistic from a every possible sample, only of a given size, taken from the population. 2) The mean of the sampling distribution of a sample mean equals the population mean divided by the square root of the sample size. 3) The standard deviation of the sampling distribution of a sample mean equals the population standard deviation divided by the square root...

Which of the following is NOT a characteristic of the normal probability distribution? a....

1. Which of the following is NOT a characteristic of the normal probability distribution? a. The distribution is symmetrical. b. The mean, median, and mode are equal. c. The standard deviation must be 1. d. The mean of the distribution can be negative, zero, or positive. 2. For a standard normal distribution, P(Z 0) is a. Zero b.one D c.0.5 d.HOS

Which of the following is not a characteristic of the normal probability distribution?

Which of the following is not a characteristic of the normal probability distribution? a. symmetry b. The total area under the curve is always equal to 1. c. 99.72% of the time the random variable assumes a value within plus or minus 1 standard deviation of its meand. The mean is equal to the median, which is also equal to the mode.

Random probability sampling includes all except which of the following? a. Simple random sampling b. Stratified...

Random probability sampling includes all except which of the following? a. Simple random sampling b. Stratified random sampling c. Cluster sampling d. Purposive sampling

Question