Sophia - Statistics - Unit 3 - Milestone 3
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Southern New Hampshire University *
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SOPHIA
Subject
Statistics
Date
May 23, 2024
Type
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2
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1
CONCEPT
→
Independent vs. Dependent Events 2
CONCEPT
→
"And" Probability for Dependent Events 3
CONCEPT
→
Law of Large Numbers/Law of Averages 4
CONCEPT
→
"Either/Or" Probability for Non-Overlapping Events 5
CONCEPT
→
Expected Value 6
CONCEPT
→
Conditional Probability 7
CONCEPT
→
"Either/Or" Probability for Overlapping Events 8
CONCEPT
→
Paradoxes 9
CONCEPT
→
Conditional Probability 10
CONCEPT
→
Conditional Probability and Contingency Tables 11
CONCEPT
→
Fundamental Counting Principle 12
CONCEPT
→
False Positives/False Negatives 13
CONCEPT
→
Overlapping Events 14
CONCEPT
→
Theoretical Probability/A Priori Method 15
25/27
"
that's 93%
RETAKE
#
25 questions were answered correctly
.
#
2 questions were answered incorrectly
.
A bag holds 20 red marbles and 40 green ones, for a total of 60 marbles. Ryan picks one marble from the bag at
random, hoping to pick a red marble.
Which of the following statements is true?
RATIONALE
The probability that Ryan will pick a red marble on the first try would be 20/60, or 33%.
If Ryan keeps the red marble
and doesn't replace it, then the likelihood of a green marble goes from 40/60, or 0.66, from the first try, to 40/59, or
0.678, on the second try. The second try has a higher probability.
Report an issue with this question
Annika was having fun playing poker. She needed the next two cards dealt to be diamonds so she could make a
flush (five cards of the same suit). There are 15 cards left in the deck, and five are diamonds.
What is the probability that the two cards dealt to Annika (without replacement) will both be diamonds? Answer
choices are in percentage format, rounded to the nearest whole number.
RATIONALE
If there are 15 cards left in the deck with 5 diamonds, the probability of being dealt 2 diamonds if they are dealt without
replacement means that we have dependent events because the outcome of the first card will a
ff
ect the probability of
the second card. We can use the following formula:
The probability that the first card is a diamond would be 5 out of 15, or
. The probability that the second card is a
diamond, given that the first card was also a diamond, would be
because we now have only 14 cards remaining and
only 4 of those cards are diamond (since the first card was a diamond).
So we can use these probabilities to find the probability that the two cards will both be diamonds:
Report an issue with this question
Joseph selects a card from a standard deck of 52 cards and then replaces it afterwards. He decides to record the
total number of red cards that he selects and calculates the proportion of red cards that he has selected so far
after each pick. He then constructs a graph to visualize his results.
Which of the following statements is FALSE?
RATIONALE
Since we are only graphing the proportion of red cards, there is no information in the sampling distribution about the
actual suit of the card.
Report an issue with this question
Zhi and her friends moved on to the card tables at the casino. Zhi wanted to figure out the probability of drawing a
King of clubs or an Ace of clubs.
Choose the correct probability of drawing a King of clubs or an Ace of clubs. Answer choices are in the form of a
percentage, rounded to the nearest whole number.
RATIONALE
Since the two events, drawing a King of Clubs and drawing an Ace of Clubs, are non-overlapping, we can use the
following formula:
Report an issue with this question
Dida bought a scratch ticket for $2.00. The potential payo
ff
s and probability of those payo
ff
s are shown below.
Value
Probability
$0.00
0.15
$0.50
0.50
$1.00
0.20
$2.00
0.10
$10.00
0.05
What is the expected value for the scratch ticket that Dida bought?
RATIONALE
The expected value, also called the mean of a probability distribution, is found by adding the products of each
individual outcome and its probability. We can use the following formula to calculate the expected value, E(X): Report an issue with this question
Luke went to a blackjack table at the casino. At the table, the dealer has just shu
ffl
ed a standard deck of 52
cards.
Luke has had good luck at blackjack in the past, and he actually got three blackjacks with Queens in a row the last
time he played. Because of this lucky run, Luke thinks that Queens are the luckiest card.
The dealer deals the first card to him. In a split second, he can see that it is a face card, but he is unsure if it is a
Queen.
What is the probability of the card being a Queen, given that it is a face card? Answer choices are in a
percentage format, rounded to the nearest whole number.
RATIONALE
The probability of it being a Queen given it is a Face card uses the conditional formula:
Note that there are 12 out of 52 that are face cards. Of those 12 cards, only 4 of them are also Queens.
Report an issue with this question
Using this Venn diagram, what is the probability that event A or event B occurs?
RATIONALE
To find the probability that event A or event B occurs, we can use the following formula for overlapping events:
The probability of event A is ALL of circle A, or 0.43 + 0.11 = 0.54.
The probability of event B is ALL of circle B, or 0.23 + 0.11 = 0.34.
The probability of event A and B is the intersection of the Venn diagram, or 0.11.
We can also simply add up all the parts = 0.43 + 0.11 + 0.23 = 0.77.
Report an issue with this question
Kate was trying to decide which type of frozen pizza to restock based on popularity: pepperoni pizza or sausage
pizza. After studying the data, she noticed that pepperoni flavors sold best on the weekdays and on the
weekends, but not best overall.
Which paradox has Kate encountered?
RATIONALE
This is an example of Simpson's paradox, which is when the trend overall is not the same that is examined in smaller
groups. Since the sale of pepperoni flavors on weekend/weekdays is larger but this trend changes when looking at
overall sales, this is a reversal of the trend.
Report an issue with this question
Using the Venn Diagram below, what is the conditional probability of event A occurring, assuming that event B
has already occurred [P(A|B)]? RATIONALE
To get the probability of A given B has occurred, we can use the following conditional formula:
The probability of A and B is the intersection, or overlap, of the Venn diagram, which is 0.1.
The probability of B is all of Circle B, or 0.1 + 0.35 = 0.45.
Report an issue with this question
A credit card company surveys 125 of its customers to ask about satisfaction with customer service. The results of
the survey, divided by gender, are shown below.
Males
Females
Extremely Satisfied
25
7
Satisfied
21
13
Neutral
13
16
Dissatisfied
9
14
Extremely Dissatisfied
2
5
If you were to choose a female from the group, what is the probability that she is satisfied with the company's
customer service? Answer choices are rounded to the hundredths place.
RATIONALE
The probability of a person being "satisfied" given she is a female is a conditional probability. We can use the following
formula:
Remember, to find the total number of females, we need to add all values in this column: 7 + 13 + 16 + 14 + 5 = 55.
Report an issue with this question
For a math assignment, Jane has to roll a set of six standard dice and record the results of each trial. She wonders
how many di
ff
erent outcomes are possible after rolling all six dice.
What is the total number of possible outcomes for each trial? RATIONALE
We can use the general counting principle and note that for each step, we simply multiply all the possibilities at each
step to get the total number of outcomes. Each die has 6 possible outcomes, so the overall number of outcomes for
rolling 6 die with 6 possible outcomes each is:
Report an issue with this question
Which of the following is an example of a false positive?
RATIONALE
Sending a man to jail, when in fact he is innocent, is a false positive.
Report an issue with this question
Select the following statement that describes
overlapping events.
RATIONALE
Events are overlapping if the two events can both occur in a single trial of a chance experiment. Since she wants a
Jack {Jack of Hearts, Jack of Clubs, Jack of Diamonds, Jack of Spades} and a diamond {Ace, 2, 3, 4, 5, 6, 7, 8, 9, 10,
Jack, Queen, or King: all as diamonds}, the overlap is Jack of Diamonds.
Report an issue with this question
What is the theoretical probability of drawing a king from a well shu
ffl
ed deck of 52 cards? RATIONALE
Recall that there are four kings in a standard deck of cards. The probability of a king is:
Report an issue with this question
Maria flipped a coin 60 times, and the coin came up tails 32 times.
What is the relative frequency of the coin turning up heads in this experiment? Answer choices are rounded to
the hundredths place. ●
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The probability that Ryan will pick a red marble on the first try is
33%. If he keeps this marble and picks another from the bag, the
probability that he will pick a green marble decreases.
●
The probability that Ryan will pick a red marble on the first try is
33%. If he keeps this marble and picks another from the bag, the
probability that he will pick a green marble increases.
$
The probability that Ryan will pick a red marble on the first try is
67%. If he keeps this marble and picks another from the bag, the
probability that he will pick a green marble decreases.
●
The probability that Ryan will pick a red marble on the first try is
67%. If he keeps this marble and picks another from the bag, the
probability that he will pick a green marble increases.
●
33%
●
29%
$
10%
●
13%
●
The theoretical probability for selecting a red card in each pick is
0.5.
●
The relative frequency of selecting a red card changes with the
increase in number of selections.
●
This is an example of the law of large numbers.
$
For a given number of selections, we can use Joseph's graph to find
the number of diamonds that he has picked so far.
●
8%
●
2%
●
6%
$
4%
●
$0.50
$
$1.15
●
$2.00
●
$1.50
●
8%
●
77%
●
4%
$
33%
●
0.66
$
0.77
●
0.23
●
0.11
●
False Negative
●
Benford's Law
$
Simpson's Paradox
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False Positive
●
0.05
●
0.71
$
0.22
●
0.10
●
0.13
$
0.24
●
0.38
●
0.62
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7,776
●
36
$
46,656
●
216
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Sending a guilty man to jail.
$
Sending an innocent man to jail.
●
A medical test coming back positive for a disease you do have.
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A medical test coming back negative for a disease you don't have.
●
Amanda wants a black card so she can have a winning hand, and
she receives the two of hearts.
$
Receiving a Jack of diamonds meets the requirement of getting
both a Jack and a diamond.
●
Amanda rolls a three when she needed to roll an even number.
●
Amanda understands that she cannot get a black diamond when
playing poker.
$
●
●
●
●
0.53
UNIT 3 — MILESTONE 3
SCORE
25/27
CONCEPT
→
Relative Frequency Probability/Empirical Method 16
CONCEPT
→
Venn Diagrams 17
CONCEPT
→
Outcomes and Events 18
CONCEPT
→
"Either/Or" Probability for Overlapping Events 19
CONCEPT
→
Normal Distribution Approximation of the Binomial Distribution 20
CONCEPT
→
Binomial Distribution 21
CONCEPT
→
Poisson Distribution 22
CONCEPT
→
Two-Way Tables/Contingency Tables 23
CONCEPT
→
Complement of an Event 24
CONCEPT
→
Geometric Distribution 25
CONCEPT
→
"And" Probability for Independent Events 26
CONCEPT
→
Odds 27
CONCEPT
→
Probability Distribution RATIONALE
Recall that, of the 60 flips, there are 32 tails. This means the remaining are heads, or 60-32 = 28 heads. The relative
frequency of a head is:
Report an issue with this question
Two sets A and B are shown in the Venn diagram below.
Which statement is TRUE?
RATIONALE
The intersection, or middle section, would show the common elements, which is 3.
The number of elements of Set A is everything in Circle A, or 8+3 = 11 elements, not 8 elements.
The number of elements of Set B is everything in Circle B, or 7+3 = 10 elements, not 7 elements.
To get the total number of items in the Venn diagram, we add up what is in A and B and outside, which is 8+3+7+2=20
elements, not 2 elements.
Report an issue with this question
Sadie is selecting two pieces of paper at random from the stack of colored paper in her closet. The stack contains
several sheets of each of the standard colors: red, orange, yellow, green, blue, and violet.
All of the following are possible outcomes for Sadie's selection, EXCEPT: RATIONALE
Since black is not part of the original set, it cannot be chosen into the sample. Report an issue with this question
What is the probability of drawing a spade or a jack from a standard deck of 52 cards?
RATIONALE
Since it is possible for a card to be a spade and a jack, these two events are overlapping. We can use the following
formula:
In a standard deck of cards, there are 13 cards that have Spade as their suit, so
. There is a total of 4
Jacks, so
. Of the 4 Jacks, only one is spade so
.
Report an issue with this question
Mark looked at the statistics for his favorite baseball player, Jose Bautista. Mark looked at seasons when Bautista
played 100 or more games and found that Bautista's probability of hitting a home run in a game is 0.173.
If Mark uses the normal approximation of the binomial distribution, what will be the variance of the number of
home runs Bautista is projected to hit in 100 games? Answer choices are rounded to the tenths place.
RATIONALE
In this situation, we know:
n = sample size = 100 p = success probability = 0.173
We can also say that q, or the complement of p, equals:
q = 1 - p = 1 - 0.173 = 0.827
The variance is equivalent to n*p*q:
Report an issue with this question
Which of the following is a property of binomial distributions?
RATIONALE
Recall that for the binomial distribution we are concerned with an event occurring (successes) or not occurring (failures)
in a given number of trails (n).
Report an issue with this question
The average number of tunnel construction projects that take place at any one time in a certain state is 3. Find the probability of exactly five tunnel construction projects taking place in this state.
RATIONALE
Since we are finding the probability of a given number of events happening in a fixed interval when the events occur
independently and the average rate of occurrence is known, we can use the following Poisson distribution formula:
The variable k is the given number of occurrences, which in this case, is 5 projects.
The variable
λ
is the average rate of event occurrences, which in this case, is 3 projects.
Report an issue with this question
A credit card company surveys 125 of its customers to ask about satisfaction with customer service. The results of
the survey, divided by gender, are shown below.
Males
Females
Extremely Satisfied
25
7
Satisfied
21
13
Neutral
13
16
Dissatisfied
9
14
Extremely Dissatisfied
2
5
If a survey is selected at random, what is the probability that the person is a female with neutral feelings about
customer service? Answer choices are rounded to the hundredths place.
RATIONALE
If we want the probability of selecting a survey that is from a female who marked "neutral feelings," we just need to look
at the box that is associated with both categories, or 16. To calculate the probability, we can use the following formula:
Report an issue with this question
What is the probability of NOT drawing a face card from a standard deck of 52 cards? RATIONALE
Recall that the probability of a complement, or the probability of something NOT happening, can be calculated by
finding the probability of the event happening, and then subtracting that from 1. Note that there are a total of 12 face
cards in a standard deck of 52 cards. So the probability of NOT getting a face card is equivalent to:
Report an issue with this question
A basketball player makes 60% of his free throws. We set him on the free throw line and asked him to shoot free
throws until he misses. Let the random variable X be the number of free throws taken by the player until he
misses.
Assuming that his shots are independent, find the probability that he will miss the shot on his 6th throw.
RATIONALE
Since we are looking for the probability until the first success, we will use the following Geometric distribution formula:
The variable k is the number of trials until the first success, which in this case, is 6 throws.
The variable p is the probability of success, which in this case, a success is considered missing a free throw. If the
basketball player has a 60% of making it, he has a 40%, or 0.40, chance of missing.
Report an issue with this question
Carl throws a single die twice in a row. For the first throw, Carl rolled a 2; for the second throw he rolled a 4.
What is the probability of rolling a 2 and then a 4? Answer choices are in the form of a percentage, rounded to
the nearest whole number.
RATIONALE
The two events (first roll and second roll) are independent of each other. To find the probability of getting a 2 on the
first roll and getting a 4 on the second roll, we can use the following formula:
Note that the probability of rolling a two is , and rolling a four is the same probability, .
Report an issue with this question
John randomly selects a ball from a bag containing di
ff
erent colored balls. The odds in favor of his picking a red
ball are 3:11.
What is the probability ratio for John picking a red ball from the bag? RATIONALE
Recall that we can go from "
" odds to a probability by rewriting it as the fraction "
". So odds of 3:11 is
equivalent to the following probability:
Report an issue with this question
Which of the following situations describes a continuous distribution?
RATIONALE
Since the weight of newborns can be an infinite number of values, such as 8 pounds, 9 ounces, etc, this would be an
example of a continuous distribution.
Report an issue with this question
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$
0.47
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2.14
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1.88
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There are a total of 2 elements shown in the Venn diagram.
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Sets A and B have 3 common elements.
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Set A has 8 elements.
$
Set B has 7 elements.
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Red, red
$
Blue, black
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Orange, yellow
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Green, violet
●
●
$
●
$
14.3
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3.8
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17.3
●
0.8
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The expected value is equal to the number of successes in the
experiment.
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There are exactly four possible outcomes for each trial.
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All of the observations made are dependent of each other.
$
The variable of interest is the total number of successes or failures
for a given number of observations.
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0.020
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0.048
$
0.10
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0.023
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0.19
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0.29
●
0.5
$
0.13
●
0.81
●
●
●
$
●
0.00614
●
0.04666
●
0.01866
$
0.03110
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36%
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22%
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33%
$
3%
●
$
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A probability distribution showing the amount of births in a hospital
in a month
●
A probability distribution showing the average number of days
mothers spent in the hospital
$
A probability distribution showing the weights of newborns
●
A probability distribution showing the number of vaccines given to
babies during their first year of life
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