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University of Phoenix QNT 561 - QNT 561 Final Exam Answers (includes 7)


Description:

All Answers to the Final Exams are included.

  1. Final exam 1

  2. Final exam 2

  3. Final exam 3

  4. Final exam 4

  5. Final exam 5

  6. Final exam 6

  7. Final exam 7



Preview exam questions:

A point estimate is
A. Always an estimate of the population mean.
B. Always equal to the population value.
C. An estimate of the population parameter.
D. None of these

Which of the following statements is not a characteristic of the t distribution?
A. It is symmetrical.
B. Like z there is only one t distribution.
C. It is a continuous distribution.
D. It has a mean of 0.

If we wished to decrease the width of a confidence interval, we would not do which of the following
A. Increase the size of the sample
B. Reduce the size of the population
C. Decrease the level of confidence
D. None of the above

Which of the following statements is true regarding a sample?
A. It is a part of population.
B. It must contain at least five observations.
C. It refers to descriptive statistics
D. All of these are correct

A discrete variable is
A. Can assume only certain clearly separated values
B. Cannot be negative.
C. An example of a qualitative variable.
D. Can assume only whole number values.

In a two-sample test of means for independent samples, we use the z distribution when
A. Both population standard deviations are known.
B. nB and n(1-B) are both greater than 5.
C. The population standard deviations are equal.
D. Both populations have at least 4,000 observations.

In a contingency table a sample of 400 people is classified by gender and hair color (4 groups: blond, brown, black, and red). How many degrees of freedom are there?
A. 3
B. 8
C. 399
D. None of these

In a contingency table
A. The number of rows must be the same as the number of columns.
B. A variable is classified according to two criteria.
C. There must be at least 10 observations in each cell.
D. All of these

In a goodness-of-fit test where the sample size is 200, there are 5 categories, and the significance level is .05. The critical value of X2 is
A. 9.488
B. 11.070
C. 43.773
D. None of these

A confidence interval
A. Always includes the population parameter.
B. Decreases in width as the sample size is increased.
C. Cannot include a value of 0
D. None of these

Which of the following is not a type of probability?
A. Relative frequency
B. Classical
C. Subjective
D. Independent

We use the General Rule of Multiplication to combine
A. Events that total more than 1.00.
B. Events based on subjective probabilities
C. Events that are not independent.
D. Mutually exclusive events.

Which of the following is a correct statement about a probability?
A. It may be greater than 1.
B. It cannot be reported to more than 1 decimal place.
C. It may range from 0 to 1.
D. It may assume negative values.

We wish to develop a confidence interval for the population mean. The shape of the population is not known, but we have a sample of 40 observations. We decide to use the 92% level of confidence. The appropriate value of z is:
A. 1.96
B. 2.58
C. 1.75
D. 1.65

Suppose a population consisted of 20 items. How many different samples of n = 3 are possible?
A. 6840
B. 20
C. 120
D. 1140

Which of the following statements is not a characteristic of the t distribution?
A. It is a continuous distribution.
B. It is symmetrical.
C. Like z there is only one t distribution.
D. It has a mean of 0

The alternate hypothesis
A. None of these
B. Will always contain the equal sign.
C. Is accepted if the null hypothesis is rejected.
D. Tells the value of the sample mean.

The expected value of the a probability distribution
A. Is the same as the random variable
B. Is another term for the mean
C. Is also called the variance
D. Cannot be greater than 1

For a binomial distribution with n = 15 as ? changes from .50 toward .05 the distribution will

A. Become more positively skewed
B. Become more negatively skewed
C. Become symmetrical
D. All of the above

In a continuous probability distribution
A. Only certain outcomes are possible.
B. All the values within a certain range are possible
C. The sum of the outcomes is greater than 1.00
D. None of the above

For a binomial distribution
A. n must assume a number between 1 and 20 or 25
B. ? must be a multiple of .10
C. There must be at least 3 possible outcomes
D. None of the above

Which of the following is not a requirement of a probability distribution
A. Equally likely probability of a success
B. Sum of the possible outcomes is 1.00
C. The outcomes are mutually exclusive
D. The probability of each outcome is between 0 and 1

In which of the following distributions is the probability of a success usually small?
A. Binomial
B. Poisson
C. Hypergeometric
D. All distribution


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Filename: QNT561 Finals.zip
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