Complete the mcq:
Q1: Suppose a population is normally distributed with a mean of 200 and a standard deviation of 40. The probability that x> 190 is:
.5987
.4013
.7671
.0987
Q2: Another name for the normal distribution is:
exponential distribution
Gaussian distribution
regular distribution
healthy distribution
Q3: Values are uniformly distributed between 50 and 80. The height of this distribution is:
.0333
.0555
.1285
.0437
Q4: Suppose x is normally distributed with a mean of 56. Eighty percent of the values are greater than 48. The standard deviation is approximately:
9.52
15.38
26.67
40.00
Q5: Who of the following is not given some credit for developing or discovering the normal distribution?
Pierre-Simon de Laplace
Abraham de Moivre
Karl Gauss
Karl Pearson
Q 6: Suppose gasoline prices are uniformly distributed across the country ranging from $1.55 to $2.10. If the gasoline price at a particular location is randomly selected, the probability that the price is between $1.70 and $1.80 is:
.1818
.0182
.3333
.4072
Q7: Suppose gasoline prices are uniformly distributed across the country ranging from $1.55 to $2.10. The mean gasoline price for this distribution is:
$1.80
$1.825
$1.85
.0182
Q8: Suppose gasoline prices are uniformly distributed across the country ranging from $1.55 to $2.10. If the gasoline price at a particular location is randomly selected, the probability that the price is between $2.15 and $2.40 is:
.0000
.0182
.3333
.4545
Q9: Problems from which of the following binomial distributions can be worked by the normal curve because the approximation is good enough?
n = 10, p = .50
n = 12, p = .60
n = 13, p = .70
n = 14, p = .80
Q10: Which of the following distributions represent things that are "measured" as opposed to "counted"?
disjoint distributions
metered distributions
discrete distributions
continuous distributions
Q11: The normal curve is sometimes referred to as the:
curve of inflection
bell-shaped curve
de Moivre's curve
unipeaked curve
Q12: An appliance store sells washing machines and dryers among other things. The average sale on washers and dryers is $530 with a standard deviation of $100. Suppose that sales figures on washers and dryers are normally distributed. If a sale is randomly selected, the probability that it is between $650 and $700 is:
.0705
.3849
.1652
.8403
Q13: Suppose x is normally distributed with a standard deviation of 7. Seventy-one percent of the values are less than 45. The mean is:
48.85
41.15
43.53
46.47
Q14: In order to work a binomial distribution problem by the normal curve, what must be true?
0 <=n
square root of (npq) >= 2.75
n> 5 and .4
n> 5 and .4
Q15: Suppose a population is normally distributed with a mean of 200 and a standard deviation of 40. The probability that x< 150 is:
.1069
.2276
.1056
.3944
Q16: A researcher is working a binomial problem using a normal curve approximation.
In the binomial problem, the researcher is trying to determine the probability of 51
50.5
50.5 x 56.5
51.5
50.5
Q17: Suppose 41% of all workers in the telecommunications industry are satisfied with their work. If 63 telecommunications workers are randomly selected what is the probability that fewer than 23 are satisfied with their work?
.1977
.2743
.2358
.3023
Q18: A z score is:
the distance a value is from the mean
the number of standard deviations a value is above or below the mean
the probability that a value has in a normal distribution
the peakedness of the curve
Q19: An appliance store sells washing machines and dryers among other things. The average sale on washers and dryers is $530 with a standard deviation of $100. Suppose that sales figures on washers and dryers are normally distributed. If a sale is randomly selected, the probability that it is greater than $600 is:
.7580
.2943
.2580
.2420
Q20: Suppose 29% of all commuter cars leaving downtown at 5 P.M. are going somewhere other than home. If 45 commuter cars leaving downtown at 5 P.M. are tracked, what is the probability that more than 11 are going somewhere other than home?
.1950
.2486
.6950
.7486
Q21: Values are uniformly distributed between 50 and 80. The probability of x> 75 is:
.0333
.3333
.1667
.0000
Q22: Suppose the average hourly wage of a production line worker in a particular industry is normally distributed with a mean of $9.40. Sixty percent of the workers earn less than $10.25. The standard deviation is:
$1.42
$3.40
$8.50
$2.13
Q23: A researcher is working a binomial problem using a normal curve approximation.
In the binomial problem, the researcher is trying to determine the probability of x >=13. In working the problem by the normal curve, the solution will be found at:
X >= 12.5
X >= 13.5
12.5 <=x <= 13.5
x> 13
Q24: Values are uniformly distributed between 50 and 80. The mean of this distribution is:
.5000
65
70
.0333
Q25: Suppose 57% of all shoppers use credit cards for their purchase in department stores. If 80 such shoppers are randomly selected, what is the probability that more than 49 use a credit card?
.3106
.1894
.2578
.2946