stat 3
in the textile industry a manufacturer is interested in the number of blemishes or flaws occurring in each 100 feet of material the probability distribution that has the greatest chance of applying to this situation is the
Poisson distribution
A continuous probability distribution that is useful in describing the time or space between occurrences of an event is a(n)
Poisson probability distribution
refer to exhibit 5-8 the probability that there are 8 occurrences in 10 minutes is
.0731
For a standard normal distribution the probability of Z<0 is
.5
The probability that there are less than 3 occurrences in 10 minutes is
.1016
The probability of assembling the product between 7-9 minutes is
.50
Z is a standard normal random variable the P(-1.5<1.09) equals
.7953
Refer to exhibit 6-6 What is the probability that a randomly selected individual with an MBA degree will get a starting salary of at least 30,000
.9772
X is a normal distribution random variable with a mean of 12 and standard deviation of 3 the probability that X equals 19.62 is
0.000
Use the normal approximation to the binomial distribution to answer this question. Fifteen percent of all students at a large university are absent on Monday. If a random sample of 12 names is called on a Monday what is the probability that four students our absent?
0.0213
the exponential probability distribution is used with
a continuos random variable
the weight of an object is an example of
a continuous random variable
The number of customers that enter a store during one day is an example of
a discrete random variable
A normal distribution with a mean of 0 and standard deviation of 1 is called
a standard normal distribution
The probability that a continous random variable takes any specific value
is equal to zero
the center of normal curve is
is the mean of the distribution
The random variable X is the number of occurrences of an event over an interval of ten minutes m can be assumed that the probability of an occurrence is the same in any two times periods of an equal length known that the mean number of occurrences in ten minutes is 5.3
m=5.3
A negative value of Z indicates that
the number of standard deviations of an observation is to the left of the mean
Largest value of the standard deviation result in a normal curve that is
wider and flatter
The uniform normal and exponential distribution are
all continous probability distribution
A value of .5 that is added and/or subtracted from a value of X when the continuous normal distribution is used to approximate the discrete binomial distribution is called
continuous correct factor
The poisson probability distribution is a
discrete probability distribution
The fact that the sample distribution of sample means can be approximated by a normal probability distribution whenever the sample size is large is based on the
Central limit theorem
The sample statistic is the point estimator of
Standard deviation
For a standard normal distribution the probability of z < 0 is
0.5
the student body of a large university consists of 60% female students. A random sample 8 students is selected. What is the probability that among the students in the sample exactly two are female?
.0413
The probability of a player weighing more than 241.25 pounds is
.0495
The random variable X is known to be uniformly distributed between 70 and 90. the probability of X having a value between 80 to 95 is
.05
Refer to Exhibit 5-8 the probability that there are ecaxtly 8 occurrences in ten minutes is
.0771
What is the minimum weight of the middle 90% of the player?
158.88
The standard deviation of assembly time (in minutes) is approximately
1.1547
A simple random sample of 100 observations was taken from a large population. The sample mean and the standard deviation were determined to be 80 and 12 standard error of the mean is
1.20
Refer to exhibit 5-8 the expected value of the random variable X is
5.3
Assume that you have a binomial experiment with P=.05 and sample of 100. The expected value of this distribution is
50
A population has a mean of 75 and standard deviation of 8. A random sample of 800 is selected.the expect value of X is
75
Refer to exhibit 6-6 What percentage of MBA's will have starting salaries of 34000 to 46000
76.98%
If you are conducting an experiment where the probability of a success is .02 and you are interested in the probability of 4 successes in 15 trials, the correct probability function to use is the
Binomial probability function
refer to exhibit 5-8 the random variable X satisfies which of the following discrere probability
Poisson