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Statistics Chapters 1-5 Quiz (Maurice Ross) Flashcards | StudBud
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Statistics Chapters 1-5 Quiz (Maurice Ross)
(Chapter 3) What is the range in a data set?
(Chapter 3) What is the range in a data set?
Statistics Chapters 1-5 Quiz (Maurice Ross)
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1
(Chapter 3) What is the range in a data set?
s = (Σ xi - x̄)² / n
s = √[ Σ(xi - μ )² / N
s = Σ (xi / n)
s = √[ Σ(xi - x̄)² / (n - 1) ]
2
(Chapter 3) What is the range in a data set?
The average of the data
The difference between the highest and lowest values
The highest value minus the mean
The maximum divided by the sample size
3
(Chapter 5) What is the formula for expected value (mean) of a probability distribution?
E(X) = √[∑[P(x)]
E(X) = ∑[x * P(x)]
E(X) = ∑x/P(x)
E(X) = ∑x2) / n
4
(Chapter 3) What is the mode of a data set?
The value that appears most frequently
The average of the data set
The difference between max and min
The middle value in an ordered set
5
(Chapter 4) What is the formula for the complement of an event?
P(A') = P(B)
P(A') = 1 + P(A)
P(A') = (1/P(A))
P(A') = 1 - P(A)
6
(Chapter 1) Define parameter and statistic.
A statistic is for populations; a parameter is for samples
A parameter and statistic are interchangeable
A parameter describes trends over time
A parameter describes a population; a statistic describes a sample
7
(Chapter 3) How do you calculate the interquartile range (IQR)?
Q1 x Q3
Q3 / Q1
Q1 + Q3
Q3 - Q1
8
(Chapter 5) What defines a binomial experiment?
Only continuous variables allowed
Fixed trials, two outcomes, constant probability, independence
Changing probabilities per trial
One trial with one outcome
9
(Chapter 4) What does it mean when events are mutually exclusive?
They must happen together
They are complementary
They cannot occur at the same time
They are independent
10
(Chapter 4) What is the addition rule for two events A and B?
P(A and B) = P(A) + P(B)
P(A or B) = P(A) + P(B) - P (A and B)
P(A or B) = P(B) - P(A)
P(A or B) = P(A) x P(B)
11
(Chapter 4) What is the sample space in probability?
The set of all possible outcomes
The set of most likely outcomes
The range of a data set
The number of trials in an experiment
12
(Chapter 2) How do you calculate the midpoint of a class?
Add the lower and upper class limits and divide by 2
Subtract the class width from the mean
Add all data points and divide by 2
Use the formula Range / 2
13
(Chapter 1) What is the difference between a population and a sample?
A population is a subset of a sample
A sample is always larger than a population
A population includes all members; a sample is a subset
They're the same thing
14
(Chapter 5) What is a probability distribution?
A graphical representation only
A method for data collection
A listing of all outcomes with associated probabilities
A measure of standard deviation
15
(Chapter 1) What is the formula for population variance?
σ² = Σ(xᵢ - xᵢ)²/n-1
σ² = (Σ(xᵢ - μ)²)/N
σ = Σ(xᵢ - μ)²)/N
σ² = Σ (xᵢ²)/N
16
(Chapter 1) What is the formula for calculating the sample mean?
μ = ( Σ xi ) / n
x̄ = ( Σ xi ) / n
x̄ = xi/ (Σ n)
x̄ = ( Σ xi ) / N
17
(Chapter 2) What is class width in a frequency distribution?
The median of the data
The difference between class limits
The highest value in a class
The number of data points
18
(Chapter 2) How do you compute relative frequency?
Midpoint times class frequency
Class frequency divided by total frequency
Class frequency divided by range
Total frequency divided by midpoint
19
(Chapter 2) What is the purpose of descriptive statistics?
To collect large samples
To predict future outcomes
To organize and summarize data
To draw conclusions from populations
20
(Chapter 5) What is the binomial probability formula?
f(x)=P[X=x]=(nx)
f(x)=P[X=x]=(nx)px
f(x)=P[X=x]=(nx)px(1−p)n−x
f(x)=px(1−p)n−x/px(1−p)n−x
