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A normal quartile plot is given below for a sample of scores on an aptitude test. Use the plot to assess the normality of scores on this test. Explain your reasoning. A normal quartile plot is given below for a sample of scores on an aptitude test. Use the plot to assess the normality of scores on this test. Explain your reasoning.

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Since the normal quartile plot...

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The given values are discrete. Use the continuity correction and describe the region of the normal distribution that corresponds to the indicated probability. The probability of exactly 44 green marbles


A) The area between 43.5 and 45.5
B) The area between 43.5 and 44
C) The area between 43.5 and 44.5
D) The area between 44 and 44.5

E) A) and C)
F) A) and B)

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If z is a standard normal variable, find P(z>0.97) P ( z > 0.97 )


A) 0.1922
B) 0.1660
C) 0.8340
D) 0.1685

E) B) and C)
F) A) and D)

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Three randomly selected households are surveyed as a pilot project for a larger survey to be conducted later. The numbers of people in the households are 5, 7, and 9. Consider the values of 5, 7, and 9 to be a population. Assume that samples of size n = 2 are randomly selected with replacement from the population of 5, 7, and 9. The nine different samples are as follows: (5, 5), (5, 7), (5, 9), (7, 5), (7, 7), (7, 9), (9, 5), (9, 7), and (9, 9). (i)Find the mean of each of the nine samples, then summarize the sampling distribution of the means in the format of a table representing the probability distribution. (ii)Compare the population mean to the mean of the sample means. (iii)Do the sample means target the value of the population mean? In general, do means make good estimators of population means? Why or why not?

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(i)
people.
(iii) The sample means tar...

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Estimate the indicated probability by using the normal distribution as an approximation to the binomial distribution. Estimate P(6) for n=18 and p=0.3 .


A) 0.1239
B) 0.1015
C) 0.8513
D) 0.1958

E) A) and B)
F) C) and D)

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Define the central limit theorem and its relationship to the sampling distribution of sample means. Define how you can approximate a normal distribution from an original population that is not normally distributed

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The central limit theorem: for all samples of the same size \(n\) with \(n > 30\), the sampling distribution of \(\bar { x }\) can be approximately by a normal distribution with mean \(\mu\) and standard deviation \(\sigma / \sqrt { n }\). If an original population is not normally distributed, the distribution is approximately a normal distribution if \(n > 30\).

The distribution of certain test scores is a nonstandard normal distribution with a mean of 50 and a standard deviation of 6. What are the values of the mean and standard deviation after all test scores have been standardized by converting them to z-scores using zx=−() μ /σ?


A) The mean is 100 and the standard deviation is 10.
B) The mean is 0 and the standard deviation is 1.
C) The mean is 10 and the standard deviation is 100.
D) The mean is 1 and the standard deviation is 0.

E) A) and B)
F) None of the above

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Using the following uniform density curve, answer the question. Using the following uniform density curve, answer the question.   What is the probability that the random variable has a value greater than 5 ? A)   0.325  B)   0.250  C)   0.375  D)   0.500 What is the probability that the random variable has a value greater than 5 ?


A) 0.325
B) 0.250
C) 0.375
D) 0.500

E) B) and C)
F) B) and D)

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State the central limit theorem. Describe the sampling distribution for a population that is uniform and for a population that is normal.

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Assume that the random variable blured image has a d...

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A bank's loan officer rates applicants for credit. The ratings are normally distributed with a mean of 200 and a standard deviation of 50. If an applicant is randomly selected, find the probability of a rating that is between 200 and 275.


A) 0.4332
B) 0.9332
C) 0.0668
D) 0.5

E) A) and B)
F) B) and D)

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The heights of adult females are normally distributed. If you were to construct a histogram of 40 randomly selected women, what shape would the histogram of those heights have and what pattern would you expect in a normal quantile plot of these data?


A) The histogram would be approximately bell-shaped, and the normal quantile plot would have data points have follow a straight-line pattern.
B) The histogram would by approximately bell-shaped, and the normal quantile plot would have data points that would be bell-shaped.
C) The histogram would by non-symmetric, and the normal quantile plot would have data points that would be non-linear.
D) The histogram would by approximately bell-shaped, and the normal quantile plot would have data points that would be non-linear.

E) B) and C)
F) C) and D)

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The weights of college football players are normally distributed with a mean of 200 pounds and a standard deviation of 50 pounds. If a college football player is randomly selected, find the probability that he weighs between 170 and 220 pounds.


A) 0.1554
B) 0.3811
C) 0.2257
D) 0.0703

E) A) and B)
F) All of the above

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If z is a standard normal variable, find the probability: P(0.73<z<2.27) P ( - 0.73 < z < 2.27 )


A) 0.7557
B) 1.54
C) 0.4884
D) 0.2211

E) All of the above
F) C) and D)

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A

If z is a standard normal variable, find the probability that z lies between −2.41 and 0


A) 0.5080
B) 0.4910
C) 0.0948
D) 0.4920

E) C) and D)
F) None of the above

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B

In one region, the September energy consumption levels for single -family homes are found to be normally distributed with a mean of 1050 kWh and a standard deviation of 218 kWh. For a randomly selected home, find the probability that the September energy consumption level is Between 1100 kWh and 1225 kWh.


A) 0.3791
B) 0.2881
C) 0.1971
D) 0.0910

E) A) and D)
F) A) and C)

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The given values are discrete. Use the continuity correction and describe the region of the normal distribution that corresponds to the indicated probability. The probability of no more than 35 defective CDs


A) The area to the left of 35
B) The area to the left of 35.5
C) The area to the right of 35.5
D) The area to the left of 34.5

E) C) and D)
F) B) and D)

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Define a density curve and describe the two properties that it must satisfy. Show a density curve for a uniform distribution. Make sure that your graph satisfies both properties.

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A density curve is a graph of a continuo...

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Assume that z scores are normally distributed with a mean of 0 and a standard deviation of 1. If P(a<z<a) P ( - a < z < a ) =0.4314 , find a.a .


A) -0.18
B) 0.3328
C) 0.57
D) 1.49

E) A) and B)
F) B) and C)

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Scores on a test have a mean of 70 and Q3Q _ { 3 } is 83 . The scores have a distribution that is approximately normal. Find P90P _ { 90 } (You will need to first find the standard deviation.)


A) 92.9
B) 93.7
C) 95.6
D) 94.8

E) A) and B)
F) B) and D)

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Assume that the red blood cell counts of women are normally distributed with a mean of 4.577 million cells per microliter and a standard deviation of 0.382 million cells per microliter. Find the value closest to the probability that a randomly selected woman has a red Blood cell count above the normal range of 4.2 to 5.4 million cells per microliter.


A) 0.1611
B) 0.0409
C) 0.0158
D) 0.9842

E) B) and D)
F) A) and C)

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