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| 11 Theory slides |
| 11 Exercises - Grade E - A |
| Each lesson is meant to take 1-2 classroom sessions |
Here are a few recommended readings before getting started with this lesson.
Emily is a student at North High and top of her class. Her mathematics teacher asks her to select two students and form a team of three students for the coming year's mathematics competition. When Emily sees the student list, she notices that the four students who come after her have almost identical grades in math.
She decides to select two students out the four possibilities, which includes one boy and three girls. Use a sample space to determine whether the following events are dependent or independent.
To comprehend the probabilities of events in different situations, the following exploration can be used. Suppose there are three marbles — one blue, one green, and one orange — in a bowl.
In the following two cases, try to determine whether events A and B depend on each other or not.
Here the formal definitions of independent and dependent events will be presented.
Two events A and B are independent events if the occurrence of either of these events does not affect the occurrence of the other. It is also said that they are independent if and only if the probability that both events occur is equal to the product of the individual probabilities.
Two events A and B are considered dependent events if the occurrence of either of these events affects the occurrence of the other. If the events are dependent, the probability that both events occur is equal to the product of the probability of the first event occurring and the probability of the second event occurring after the first event.
The formulas that define independent and dependent events are also known as the Multiplication Rule of Probability. When knowing whether events are independent or dependent, this rule can be used to find the probability of both events occurring at the same time. Assume that Davontay flips a coin and rolls a dice at the same time.
Begin by finding the probability of each event separately. Then use the Multiplication Rule of Probability.
Davontay wants to practice the independence of events. To do so, he uses a balanced six-sided die.
He rolls the die and considers the following events.
Based on the definitions of independent and dependent events, he tries to find out whether these events are independent or not. Help Davontay during his practice!
Start by calculating P(A), P(B), and P(A∩B). Use the definition of independent events.
To calculate these probabilities, begin by identifying the sample space. Since Davontay rolls a six-sided die, there are 6 elements in the sample space.
Next, to find the probability that both events occur, identify the common elements in each event.
Notice that there is only one element in common. Therefore, the number of favorable outcomes is 1 and the number of possible outcomes is 6 for P(A∩B).
Finally, check whether these probabilities satisfy the definition of independent events.
Substitute values
Multiply fractions
ba=b/2a/2
Since the probabilities do not satisfy the definition, event A and event B are not independent. This implies that A and B are dependent events.
Davontay decides that one exercise is not enough practice. He needs more practice with independent events. Given the probabilities that both events A and B occur, event A occurs, and event B occurs, help Davontay to decide whether A and B are independent or dependent events.
After Davontay is done practicing, he decides to watch the predictions of the semi-finals of Euro 2020. His favorite teams are England and Italy. He really wants to see these teams in the finals. According to the sports announcer, England has a 56% chance of winning against Denmark.
Davontay gets excited to hear the predictions for his other favorite team. However, the broadcast freezes for a couple of seconds and he misses the projection for Italy. He only hears that the chance of England playing against Italy is 20.72%.
Davontay is quite curious about Italy's chances of winning against Spain. Keeping in mind that England's win does not affect Italy's win, help Davontay satisfy his curiosity.
Use the definition of independent events and the fact that England's and Italy's wins do not affect each other.
P(E∩I)=0.2072, P(E)=0.56
LHS/0.56=RHS/0.56
Rearrange equation
Use a calculator
Davontay is excited to see his favorite teams in the Euro 2020 finals. After the match, he goes to the library to study probability with his friend. Davontay wants to help his friend understand the independent and dependent events. To do this, he puts 8 cards on a desk.
Davontay shuffles these cards and picks two cards, one at a time. Note that he replaces the first card before picking the second card.
Based on this, he defines two different cases for his friend. Help his friend answer these questions.
Using the same method, P(A) and P(S) can be also calculated.
From here, by substituting these values into the equation it can be determined whether event A and event S are independent.
Substitute values
Multiply fractions
ba=b/8a/8
Favorable Outcomes | Total Outcomes | Substitute | |
---|---|---|---|
P(Q∩H) | 1 | 8 | 81 |
P(Q) | 2 | 8 | 82 |
P(H) | 2 | 8 | 82 |
Now that the probabilities have been calculated, Davontay's friend can find out whether the events are independent or dependent.
Substitute values
Multiply fractions
ba=b/4a/4
After playing with the cards, Davontay's friend also wonders if the definition of independent events can be used to find one of the individual probabilities given that the events are independent. Therefore, Davontay provides several exercises for his friend, knowing that the definition of independent events is biconditional.
Let A and B be independent events. Given the probability that both event A and event B occur and the probability that event A occurs, find the probability that event B occurs.
This lesson has covered how to determine whether two events are independent or dependent. Using this knowledge, the challenge provided at the beginning of the lesson can be solved. Recall that Emily is selecting two students out of one boy and three girls who have the greatest math grades after Emily.
Use a sample space to determine whether the following events are dependent or independent.
Number of Girls | Outcome | |
---|---|---|
111222
|
G1BG2BG3BG1G2G1G3G2G3
|
BG1BG2BG3G2G1G3G1G3G2
|
Therefore, there are 12 outcomes in total. The events can be also identified as follows.
By the definition of independent events, if P(A∩B) is the product of P(A) and P(B), then A and B are said to be independent events.
Having found the probabilities, substitute these values into the equation.
Substitute values
ba=b/6a/6
ba=b/3a/3
Multiply fractions
Substitute values
ba=b/3a/3
Multiply fractions
On her way to school, Tiffaniqua passes two crossings with red lights. The following tree diagram shows the probabilities of encountering a red light or a green light at the two crossings.
Calculate the following probabilities in percent.
Tiffaniqua encounters at most one red light.
Tiffaniqua encounters two green lights.
The probability of Tiffaniqua encountering at most one red light means she can encounter one or no red lights. We have marked these below.
To find this, we can determine the probability that Tiffaniqua encounters two red lights and then calculate the complement of this. To calculate the probability of encountering two red lights, we use the Multiplication Rule of Probability. P(R,R)&=0.6* 0.6 &= 0.36 Now, we determine the complement of this by subtracting P(R,R) from 1. 1- 0.36=0.64 The probability of encountering at most one red light is 64 %.
As in Part A, we will use the Multiplication Rule of Probability to determine the probability of encountering two green lights. P(G,G)&=0.4* 0.4 &= 0.16
During a game of basketball, Shaquille O'Neal gets three penalty shots. The statistics show that during earlier games he managed to make 67 out of 108 shots.
In this case we are working with experimental probabilities. We know that Shaq historically has made 67 out of 108 shots. Therefore, the probability of Shaq making any given shot is 67108. Let's draw a tree diagram and mark the path showing Shaq making all of the shots.
Using the Multiplication Rule of Probability, we can determine the probability of Shaq making all three shots.
There is a 24 % probability of Shaq making all three shots.
The probability of Shaq making at least one shot is the complement of Shaq making none of the shots. From the exercise we know that the probability of making one shot is 67108. This means the probability of Shaq not making a shot is 1 minus 67108.
Now we can use the Multiplication Rule of Probability to determine the probability of Shaq not making any of the shots.
Now we can determine the complement of this. P(at least one shot)&=1- 0.05 &=0.95 There is a 95 % probability of Shaq making at least one shot.
Diego is flipping a coin. What is the probability of Diego getting three tails in a row? Answer with a fraction in its simplest form.
If we flip a coin there are two outcomes: heads and tails. Since both outcomes are equally probable, we know that the probability of getting tails on one flip is one-half. Notice that separate coin flips are independent of each other. Let's mark the outcome and related probability of tossing three tails in a tree-diagram.
According to the Multiplication Rule of Probability, we determine the probability of multiple events happening by multiplying their individual probabilities.
The probability of getting three tails is 18.
Dylan is practicing throwing darts. He has worked out that the probability of hitting the target on a single throw is on average 0.8. He throws two darts at the target. What is the average probability that both throws are a hit? Answer in percent.
Notice that each throw is independent of each other. Therefore, the average probability of hitting the target is 80 % for every throw. Let's illustrate this in a tree diagram.
To obtain the probability of multiple events occurring, we will use the Multiplication Rule of Probability. This means we must multiply their individual probabilities.
Heichi is choosing beads from a jar that contains 40 red beads and 60 orange beads.
If the first red bead is replaced, we have a probability of 40100 for picking a red bead the second time. Let's show this in a tree diagram.
Using the Multiplication Rule of Probability, we can determine the probability of picking two red beads.
If the first red bead is not replaced, the probability of picking the second bead changes. This is because the number of red beads and the total number of beads is one less after the first one is picked.
Again, to determine the probability of picking two red beads in a row, we will use the Multiplication Rule of Probability.
The expression P(A ⋂ B) means that A and B both occur. If these are independent events, the product of the individual probabilities — P(A) and P(B) — equals P(A ⋂ B). P(A ⋂ B)= P(A)* P(B) Let's try this for each of the probabilities. i:& 1/4? = 3/4* 1/4 &&⇒ 1/4 ≠ 3/16 &&& -10pt * [1em] ii:& 2/9? = 2/3* 1/3 &&⇒ 2/9 = 2/9 &&& -10pt ✓ [1em] iii:& 1/3? = 1/2* 2/3 &&⇒ 1/3 = 1/3 &&& -10pt ✓ [1em] iv:& 4/15? = 2/6* 4/6 &&⇒ 4/15 ≠ 2/9 &&& -10pt * [1em] As we can see, ii and iii show independent events.
We will calculate the probabilities of the both events provided, one at a time.
It is important to notice that the probability of being struck by a lightning at a given year P(lightning) is independent on whether or not one was struck by a lightning the previous year. Because these are independent events, the probability of being struck by a lightning two years consecutively can be calculated by using the Multiplication Rule of Probability.
Since 1250 000 000 000 < 1300 000 000, it can be concluded that the probability of getting hit by a lightning two consecutive years is less likely than winning the Mega Millions jackpot.
Once more, because the result between each coin toss is independent, the Multiplication Rule of Probability can be used.
Since 133 554 432 > 1300 000 000, getting heads 25 times in a row is more likely than winning the Mega Millions jackpot.