Quantitative data refers to data obtained with a(n)
ordinal scale
nominal scale
either interval or ratio scale
only interval scale
Statistical inference
refers to the process of drawing inferences about the sample based on the
characteristics of the population
is the same as descriptive statistics
is the process of drawing inferences about the population based on the information
taken from the sample
is the same as a census
A statistics professor asked students in a class their ages. On the basis of this
information, the professor states that the average age of all the students in the
university is 24 years. This is an example of
a census
descriptive statistics
an experiment
statistical inference
A tabular method that can be used to summarize the data on two variables
simultaneously is called
simultaneous equations
crosstabulation
a histogram
an ogive
In a scatter diagram, a line that provides an approximation of the relationship between
the variables is known as
approximation line
trend line
line of zero intercept
line of zero slope
In a cumulative percent frequency distribution, the last class will have a cumulative
percent frequency equal to
one
100
the total number of elements in the data set
none of the above
Since population size is always larger than sample size, then the sample statistic
can never be larger than the population parameter
can never be equal to the population parameter
can be smaller, larger, or equal to the population parameter
can never be smaller than the population parameter
The weights (in pounds) of a sample of 36 individuals were recorded and the following
statistics were calculated.
mean = 160 range = 60
mode = 165 variance = 324
median = 170
The coefficient of variation equals
0.1125%
11.25%
203.12%
0.20312%
If a six sided die is tossed two times and “3” shows up both times, the probability of
“3” on the third trial is
much larger than any other outcome
much smaller than any other outcome
Which of the following is a required condition for a discrete probability function?
f (x) ≥ 1 for all values of x
f (x) < 0
A continuous random variable may assume
any value in an interval or collection of intervals
only integer values in an interval or collection of intervals
only fractional values in an interval or collection of intervals
only the positive integer values in an interval
For any continuous random variable, the probability that the random variable takes on
exactly a specific value is
1.00
0.50
any value between 0 to 1
almost zero
Which of the following is not a characteristic of the normal probability distribution?
The mean, median, and the mode are equal
The mean of the distribution can be negative, zero, or positive
The distribution is symmetrical
The standard deviation must be 1
Consider a binomial probability experiment with n = 3 and p = 0.1 . Then, the
probability of x = 0 is
0.0000
0.0001
0.001
0.729
A population consists of 500 elements. We want to draw a simple random sample of 50
elements from this population. On the first selection, the probability of an element
being selected is
0.100
0.010
0.001
0.002
As the sample size increases, the
As the sample size increases, the
population mean increases
standard error of the mean decreases
standard error of the mean increases
From a population with a variance of 900, a sample of 225 items is selected. At 95%
confidence, the margin of error is
15
2
3.92
4
An estimate of a population parameter that provides an interval of values believed to
contain the value of the parameter is known as the
confidence level
interval estimate
parameter value
population estimate
The level of significance is the
maximum allowable probability of Type II error
maximum allowable probability of Type I error
same as the confidence coefficient
same as the p-value
Your investment executive claims that the average yearly rate of return on the stocks
she recommends is more than 10.0%. You plan on taking a sample to test her claim.
The correct set of hypotheses is
For a two-tailed test at 86.12% confidence, Z =
1.96
1.48
1.09
0.86
Poisson distribution
t distribution with 60 degrees of freedom
t distribution with 59 degrees of freedom
t distribution with 58 degrees of freedom
Brakes Shop, Inc., is a franchise that specializes in repairing brake systems of
automobiles. The company purchases brake shoes from a national supplier. Currently,
lots of 1,000 brake shoes are purchased, and each shoe is inspected before being
installed on an automobile. The company has decided instead of 100% inspection to
adopt an acceptance sampling plan.
Explain what is meant by the acceptance sampling plan. If the company decides to
adopt an acceptance sampling plan, what kinds of risks are there?
Brakes Shop, Inc., is a franchise that specializes in repairing brake systems of
automobiles. The company purchases brake shoes from a national supplier. Currently,
lots of 1,000 brake shoes are purchased, and each shoe is inspected before being
installed on an automobile. The company has decided instead of 100% inspection to
adopt an acceptance sampling plan.
The quality control department of the company has decided to select a sample of 10
shoes and inspect them for defects. Furthermore, it has been decided that if the
sample contains no defective parts, the entire lot will be accepted. If there are 50
defective shoes in a shipment, what is the probability that the entire lot will be
accepted?
State the null and alternative hypotheses.
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