Name: _ Date: _
A)
B)
C)
D)
1.Eggs that are contaminated with salmonella can cause food poisoning among consumers.
A large egg producer takes an SRS of 200 eggs from all the eggs shipped in one day. The
laboratory reports that 11 of these eggs had salmone
Name: _ Date: _
A)
B)
C)
D)
A)
B)
C)
D)
1.A 99% confidence interval for the mean of a population is computed from a random
sample and found to be 6 3. We may conclude that:
there is a 99% probability that is between 3 and 9.
there is a 99% probability tha
Name: _ Date: _
1.Do SAT coaching classes work? Do they help students to improve their test scores? Four
students were selected randomly from all of the students that completed an SAT coaching
class. For each student, we recorded their first SAT score (be
Name: _ Date: _
A)
B)
C)
D)
A)
B)
C)
D)
Employees at a large company
are surveyed about their health
insurance status. Employees are
coded as 1 if health insurance
is obtained through the
company's benefit program, 2
1.
if health insurance is obtained
fro
Name: _ Date: _
A)
B)
C)
D)
1.A roulette wheel has 38 slots in which the ball can land. Two of the slots are green, 18 are
red, and 18 are black. The ball is equally likely to land in any slot. The roulette wheel is
going to be spun twice and the outcomes
Name: _ Date: _
A)
B)
C)
D)
1.A candidate for one of Ohio's two U.S. Senate seats wishes to compare her support
among registered voters in the northern half of the state with her support among
registered voters in the southern half of the state. A random
Name: _ Date: _
D)
1.When a felony convict is released from prison, the person is often placed on parole for
some time. During parole, the person can be returned to prison by the supervising parole
agent without a trial and conviction. A criminologist pla
Name: _ Date: _
A)
B)
C)
D)
A)
B)
C)
D)
A)
B)
C)
D)
1.A level 0.95 confidence interval is:
any interval with margin of error 0.95.
a range of values computed from sample data that will contain the true value of the
parameter of interest 95% of the time.
a
Name: _ Date: _
A)
B)
C)
D)
1.Suppose we toss a fair coin repeatedly. We continue to do this until a tail is observed.
Let X be the number of tosses required. Then X has a binomial distribution, with:
mean 0.50.
mean 2.
variance 0.707.
None of the above
A
Name: _ Date: _
C)
D)
1.I toss a penny and observe whether it lands heads up or tails up. Suppose the penny is
fair, that is, the probability of heads is 1/2 and the probability of tails is 1/2. This means
that:
every occurrence of a head must be balanced
Name: _ Date: _
A)
B)
C)
D)
1.A veterinary researcher takes an SRS of 60 horses presenting with colic. The average age
of the 60 horses with colic is 12 years. The average age of horses seen at the veterinary
clinic was determined to be 10 years. The rese
Name: _ Date: _
A)
B)
C)
D)
1.The margin of error in a confidence interval refers to:
sampling error.
sonresponse error.
measurement error.
All of the above
A)
B)
C)
D)
2.A group of veterinary researchers plan a study to estimate the average number of
ent
Name: _ Date: _
A)
B)
C)
D)
1.Each month, the census bureau mails survey forms to 250,000 households asking
questions about the people living in the household and about such things as motor
vehicles and housing costs. Telephone calls are made to household
Name: _ Date: _
1.A study was conducted on horses t
contribute to the formation of enter
of the horse and eventually lead to
below summarizes disease status b
What percent of geldings had enter
41%
47%
21%
56%
A)
B)
C)
D)
2.A study was conducted on horses
Name: _ Date: _
A)
B)
C)
D)
1.Some researchers have noted that adolescents who spend a lot of time playing video or
computer games are at greater risk of depression and violence. This is an example of
a(n):
valid conclusion because more time yields more a
Name: _ Date: _
A)
B)
C)
D)
1.Which question can be used to draw conclusions from a test of significance?
If p is less than the significance level , then reject the null hypothesis.
If p is greater than the significance level , then reject the null hypoth
Name: _ Date: _
1.In a study, nine tires of a particular brand were driven on a track under identical
conditions. Each tire was driven a particular controlled distance (measured in thousands
of miles) and the tread depth was measured after the drive. Trea
Name: _ Date: _
1.A violin student records the number of hours she spends practicing during each of nine
consecutive weeks.
6.2
A)
B)
C)
D)
5.0
4.3
7.4
5.8
7.2
8.4
1.2
6.3
What is the mean number of hours spent practicing per week during this period?
6.15
Name: _ Date: _
A)
B)
C)
D)
1.A frequent food questionnaire (FFQ) is used to gather nutritional information on people.
It typically is a one-time assessment of a person's typical diet. A study examined the
accuracy of a FFQ by randomly selecting a group o
Name: _ Date: _
1.For this density curve, the third quartile is:
A)
B)
C)
D)
0.5.
0.75.
1.5.
1.75.
2.For this density curve, what percent of the observations lie above 0.2?
A)
B)
C)
D)
10%
20%
80%
90%
3.For this density curve, what percent of the observat
1
Introduction to Statistics: Lecture 05
Review
Normal distributions
Scatterplot
Review
IQR = Q3 Q1
The 1.5xIQR rule for outliers
Common measure of spread: variance (var) or standard deviation (sd)
Density curve: describes the general or overall patter
1
Introduction to Statistics: Lecture 03
Review
Measuring center: mean and median
Measuring spread: the quantiles
Boxplots, the interquartile range (IQR), and outliers
Measuring spread: variance and standard deviation
Review
Most data are organized in re
1
Introduction to Statistics: Lecture 02
Review
How are data organized and types of variables
Distribution of a variable
Pie charts and bar graphs of categorical variables
Histograms of quantitative variables
Review
What is Statistics? Answer: the scienc
1
Introduction to Statistics: Lecture 04
Review
The interquartile range (IQR), and outliers
Measuring spread: variance and standard deviation
Density curves and normal distributions
Review
Measuring center: mean (arithmetic average); median (50% percenti
1
Introduction to Statistics: Lecture 06
Review
Do some questions related to Chapters 1-3
Review
Among various distributions, the Normal distributions are often shown in
many data sets
A Normal distribution is uniquely determined by its mean and its s
( 1) 1 arrangements of length using each symbol once and only once. This
product is denoted by !. Note that ! = ( 1)!
( 1) ( + 1) arrangements of length k using each symbol at most once. This
!
product is denoted by () (n to k factors). Note that () =
() =
104 94
3439
=
4
10
10000
Example 3:
A pin number of length 4 is formed by randomly selecting four digits from the set cfw_0, 1, 2, 9 without
replacement. Find the probability of the events:
A.
B.
C.
D.
The pin number is even.
The pin number has only