
4.8 & 4.9 Mean and SD of Rand Var & Combining Random Variables
Presentation
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Mathematics
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9th - 12th Grade
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Practice Problem
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Medium
+10
Standards-aligned
Jeffrey Reed
Used 13+ times
FREE Resource
27 Slides • 23 Questions
1
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3
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Match
Probability of spinning 1 and A
Probability of spinning even and C
Probability of spinning 7 and B
Probability of spinning 9 and A
1/16
1/12
1/24
0
1/16
1/12
1/24
0
6
7
Multiple Choice
What are the key differences between discrete and continuous random variables?
Discrete random variables can take on any value within a range.
Continuous random variables can only take on specific values.
Discrete random variables are countable, while continuous random variables are measurable.
Both types of random variables are used in probability distributions.
8
9
10
Multiple Choice
The random variable X has mean 12 and standard deviation 3. The random variable W is defined as W=7+2X. What are the mean and standard deviation of W?
11
Multiple Choice
When you add a positive constant to a random variable the effects on the random variables distribution are as follows:
the shape is changed, the mean is increased by a value of "a" and the standard deviation is unchanged.
the shape and standard deviation are unchanged and the mean is increased by a value of "a".
all three aspects are unchanged
the shape and mean are unchanged and the standard deviation is increased by a value of "a".
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Open Ended
Compare the shape, center, and spread of the two probability distributions.
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15
Multiple Choice
How does multiplying or dividing by a constant affect a random variable?
It changes the shape of the distribution
It only affects the mean
It affects measures of center and spread
It has no effect on the distribution
16
Multiple Choice
If 20 is added to the data set below, which statement will be true?
50, 55, 55, 60, 62
The median will be 20
The mode will increase
The mean will increase
The mean will decrease
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Multiple Choice
50, 55, 55, 60, 62
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Multiple Choice
What are the means and standard deviations of the collected money (C) and profit (V) for Pete's Jeep Tours?
Mean of C: $562.50, SD of C: $163.50; Mean of V: $462.50, SD of V: $163.50
Mean of C: $500.00, SD of C: $150.00; Mean of V: $400.00, SD of V: $100.00
Mean of C: $600.00, SD of C: $200.00; Mean of V: $500.00, SD of V: $150.00
Mean of C: $550.00, SD of C: $160.00; Mean of V: $450.00, SD of V: $170.00
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Multiple Choice
The number of DVDs rented daily at DVD rental machine has a mean of 134 with a standard deviation of 32.
The cost of the electricity to keep the DVD rental machine on is $1.45 per day. Each DVD rental increases the electricity cost by $0.02. What are the mean and standard deviation of the electricity cost per day?
Mean = $4.13, Standard Deviation = $0.64
Mean = $4.13, Standard Deviation = $1.77
Mean = $4.13, Standard Deviation = $2.09
Mean = $2.68, Standard Deviation = $0.64
Mean = $2.68, Standard Deviation = $2.09
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Multiple Choice
What are the mean and variance of T, where T = X + Y?
Mean = 3.75, Variance = 1.090
Mean = 3.10, Variance = 0.943
Mean = 6.85, Variance = 2.033
Mean = 4.85, Variance = 1.500
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Multiple Choice
How many total passengers can Pete and Erin expect on a randomly selected day?
5.00
6.85
7.50
8.00
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Multiple Choice
What are independent random variables?
Variables that are dependent on each other
Variables that do not affect each other
Variables that are always equal
Variables that are always different
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Open Ended
What do you notice about the variance of T?
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The number of calories in a 1-ounce serving of a certain breakfast
cereal is a random variable with mean 110 and standard deviation
10. The number of calories in a cup of whole milk is a random
variable with mean 140 and standard deviation 12. For breakfast,
you eat 1 ounce of the cereal with 1/2 cup of whole milk. Let T be
the random variable that represents the total number of calories in
this breakfast.
37
Multiple Choice
The number of calories in a 1-ounce serving of a certain breakfast
cereal is a random variable with mean 110 and standard deviation
10. The number of calories in a cup of whole milk is a random
variable with mean 140 and standard deviation 12. For breakfast,
you eat 1 ounce of the cereal with 1/2 cup of whole milk. Let T be
the random variable that represents the total number of calories in
this breakfast. The mean of T is
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Multiple Choice
What is the variance of T if T = X + Y for two independent random variables X and Y?
σ²T = σ²X + σ²Y
σ²T = σ²X - σ²Y
σ²T = σ²X * σ²Y
σ²T = σ²X / σ²Y
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Multiple Choice
The number of calories in a 1-ounce serving of a certain breakfast
cereal is a random variable with mean 110 and standard deviation
10. The number of calories in a cup of whole milk is a random
variable with mean 140 and standard deviation 12. For breakfast,
you eat 1 ounce of the cereal with 1/2 cup of whole milk. Let T be
the random variable that represents the total number of calories in
this breakfast. The standard deviation of T is
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Multiple Choice
What is the variance of D when D = X - Y for any two independent random variables X and Y?
Var(D) = Var(X) + Var(Y)
Var(D) = Var(X) - Var(Y)
Var(D) = Var(X) * Var(Y)
Var(D) = Var(X) / Var(Y)
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Multiple Choice
What is the probability that Mr. Starnes's tea will taste right if he likes between 8.5 and 9 grams of sugar?
0.8480
0.9772
0.1292
0.16
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Multiple Choice
Multiplying a random variable by a positive constant "b" affects the distribution of the random variable as follows:
the shape is unchanged, measures of center and spread, both, are multiplied by "b".
the shape, measures of center and measures of spread are all multiplied by "b".
the shape and measures of center are unchanged, the measures of center are multiplied by "b".
there is no change in the distribution.
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Multiple Choice
If X and Y are independent random variables, what is the relationship between their variances?
Var(X^2 + Y^2) = Var(X) + Var(Y)
Var(X^2 + Y^2) = Var(X) * Var(Y)
Var(X^2 + Y^2) = Var(X) - Var(Y)
Var(X^2 + Y^2) = Var(X) / Var(Y)
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Multiple Choice
A discrete random variable X has the probability distributions shown in the table. Find the value of k. (Remember that a valid probability distribution must add up to 1)
1/3
7/12
1/12
1/4
50
Poll
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