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| 16 Theory slides |
| 9 Exercises - Grade E - A |
| Each lesson is meant to take 1-2 classroom sessions |
However, there are situations where making predictions is more challenging. In such cases, probability can be used to arrive at informed decisions and determine the likelihood of events happening. These concepts will be explored in this lesson.
Here are a few recommended readings before getting started with this lesson.
Probability measures the likelihood that something will occur. It can be any value from 0 to 1 or from 0% to 100%, inclusive. When it is certain that the situation will not occur, the probability is 0. Likewise, when it is certain that the situation will occur, the probability is 1.
Kevin and Davontay want to finish their homework quickly so they can convince their parents to take them out for burgers. Their assignment requires them to categorize a set of statements based on their probability.
Statement (Probability of) | |
---|---|
A | Drawing a card with the number 14 from a standard deck |
B | Independence Day will be on July 4th |
C | A coin toss resulting in heads |
D | Being born on leap day |
E | Getting a number greater than 1 on the roll of a standard die |
Analyze each statement one at a time. Weigh the chances of the outcome happening against the chances of it not happening.
Each statement will be analyzed one at a time to determine its likelihood.
Look at the given statement.
Drawing a card with the number 14 from a standard deck |
A standard deck has 52 cards divided into four suits — spades, clubs, hearts, and diamonds. Each suit has 14 cards which include an ace, a 2, a 3, a 4, a 5, a 6, a 7, a 8, a 9, a 10, a jack, a queen, and a king. Drawing a card with the number 14 is impossible since no such card exists in the deck.
Now, consider the second statement.
Independence Day will be on July 4th |
Independence Day is always celebrated on July 4th, so it is a guaranteed occurrence. It will happen.
Consider the third statement.
A coin toss resulting in heads |
When flipping a coin, there are only two possible outcomes — heads or tails. Because both outcomes have an equal chance of occurring, the likelihood of getting heads is the same as the likelihood of not getting heads.
Let's breakdown the given statement.
Being born on leap day |
Leap Day, February 29, is added to the calendar every four years, so it takes three years before it happens again. As a result, being born on Leap Day is unlikely to happen.
Consider the final statement.
Getting a number greater than 1 on the roll of a standard die |
A standard die has six sides with numbers from 1 to 6. Getting a number greater than 1 is likely to happen because most outcomes are greater than 1.
All statements have been analyzed. The results are summarized in the table below.
Statement (Probability of) | Likelihood | |
---|---|---|
A | Drawing a card with the number 14 from a standard deck | Will not happen |
B | Independence Day will be on July 4th | Will happen |
C | A coin toss resulting in heads | Equally likely to happen or not happen |
D | Being born on leap day | Unlikely to happen |
E | Getting a number greater than 1 on the roll of a standard die | Likely to happen |
An outcome is a possible result of a probability experiment. For example, when rolling a six-sided die, getting a 3 is one possible outcome.
An event is a combination of one or more specific outcomes. For example, when playing cards, an event might be drawing a spade or a heart. For this event, one possible outcome is drawing the A♠ or drawing the 7♡.
However, these are not the only outcomes of this event. All the possible outcomes that satisfy the event are listed below.
The probability of an event is a ratio that compares the number of favorable outcomes to the number of possible outcomes.
P(event)=Number of possible outcomesNumber of favorable outcomes
Davontay and Kevin finish their homework, and it is now time to order burgers! They each ordered a happy meal. Davontay choose the meal set that gives away a toy car. He hopes to get a Twin Mill Hot Wheel. Kevin, on the other hand, ordered a meal that offers a book. He hopes to get the book The Sparkle Tales
.
The Sparkle Tales? Calculate the ratio of the number of favorable outcomes to the number of possible outcomes.
The Sparkle Tales. This yields one favorable outcome out of five possible outcomes.
Kevin was able to get the book he wanted, but Davontay, unfortunately, did not get the Twin Mill he had hoped for. To cheer Davontay up, Kevin took him to the ball pit and made a bet. He challenged Davontay to pick one ball from the pit blindly. If the ball he picks is not red, Kevin will give his extra Twin Mill that he has at home to Davontay.
Assume there are 240 balls, equally divided into blue, red, yellow, green, pink, and orange balls. What is the probability of Davontay selecting a non-red ball? Answer in fraction form.Consider that the sum of the probabilities of two complementary events equals 1.
Davontay and Kevin were given four games to choose from, but they could only pick one. Winning the selected game will earn them a prize.
Find possible and favorable outcomes for each event. Consider that each outcome has an equal chance of occurring under the uniform probability model.
The probability of each event will be determined by analyzing all possible outcomes and their corresponding favorable outcomes. In addition, given that each experiment follows a uniform probability model, the probability of each outcome occurring is equal.
This experiment consists of picking a number from the set formed by the numbers from 1 to 20. The event of interest is that the chosen number corresponds to a multiple of 4. Begin by highlighting the multiples of 4 from the given set.
A standard deck of cards consists of 52 cards divided into four suits — spades, clubs, hearts, and diamonds. The colors of the suits are red for hearts and diamonds and black for spades and clubs.
The roulette wheel is divided into three equal sections representing the different possible outcomes. Of these three outcomes, only one is colored blue, representing the only favorable outcome.
Therefore, the probability of landing on the blue section is given by 31.
For this experiment, a letter will be randomly selected from the English Alphabet. The event is to get the letter M and every letter has an equal chance of being chosen.
Since there are 26 letters in the alphabet and only one of those is the letter M, the probability of selecting the letter M is 261.
All games have been analyzed. The table below pairs each of them with their corresponding probability.
Game (Experiment) | How to Win (Event) | Probability of Winning |
---|---|---|
Randomly picking a number from the set formed by the numbers from 1 to 20 | Picking a multiple of 4 | 41 |
Randomly drawing a card from a standard deck of cards | Drawing a red card | 21 |
Spinning a 3-colored roulette wheel evenly divided | Landing on blue | 31 |
Randomly selecting a letter from the English Alphabet | Picking the letter M | 261 |
Out of all the games available, the likelihood of drawing a red card from a standard deck of cards is higher. Therefore, if Davontay and Kevin want to increase their chances of winning, they should choose this game.
When all outcomes in a sample space are equally likely to occur, the theoretical probability of an event is the ratio of the number of favorable outcomes to the number of possible outcomes.
P(event)=Number of possible outcomesNumber of favorable outcomes
Experimental probability is the probability of an event occurring based on data collected from repeated trials of a probability experiment. For each trial, the outcome is noted. When all trials are performed, the experimental probability of an event is calculated by dividing the number of times the event occurs, or its frequency, by the number of trials.
P(Theme Park Passes) | |
---|---|
Experimental Probability | Theoretical Probability |
203=0.15 | 61=0.16 |
It is reasonable to conclude that the experimental probability is close to the theoretical probability because 0.15 is close to 0.16.
This lesson discussed simple events and their probabilities. These are events that cannot be broken down further and only have one outcome. However, events can also be made up two or more simple events. To illustrate this, consider the example of flipping a fair coin and rolling a fair six-sided die.
In this experiment, multiple individual events or outcomes are combined to create compound events. Examples include getting heads (H) on a coin and rolling a 3 on the die, or getting tails (T) on the coin and rolling a 6 on the die.
Flipping a Coin and Rolling a Die | |||||
---|---|---|---|---|---|
Possible Outcomes | |||||
(H,1) | (H,2) | (H,3) | (H,4) | (H,5) | (H,6) |
(T,1) | (T,2) | (T,3) | (T,4) | (T,5) | (T,6) |
Choose the appropriate answer that describes all outcomes of the following experiments.
When conducting a probability experiment, an outcome refers to a possible result. In this experiment, we want to determine the potential outcomes of a soccer game between Arsenal and Real Madrid.
In this case, there are three possibilities — Arsenal wins, Real Madrid wins, or they draw. Outcomes: {Arsenal wins, Real Madrid wins, draw} It is worth mentioning that the other options do not describe all outcomes. For instance, Arsenal winning and Real Madrid losing represent the same outcome. Also, Real Madrid winning and Arsenal losing represents only one outcome.
Our goal is to identify all the possible outcomes of selecting a fruit from a basket that only consists of pears, mangoes, strawberries, and oranges.
It is worth noting that the quantity of each fruit in the basket is irrelevant. The only available options for selection are the fruits that are present in the basket, namely a pear, a mango, a strawberry, or an orange. Outcomes: {pear, mango, strawberry, orange}
Classify each event as one of the following: likely to happen, unlikely to happen, will happen, will not happen, or equally likely to happen or not happen.
Consider the given event.
Rolling a fair six-side die and getting a number less than 7.
A standard die has six sides with numbers ranging from 1 to 6.
We can guarantee that the result will be a number less than 7 as all possible outcomes are below 7. Therefore, this event will happen.
Let's begin by looking at the given event.
Drawing a red marble from a bag containing 5 red marbles and 40 marbles in total.
We have a bag containing 40 marbles, of which 5 are red. This implies that 35 marbles are of some other color. The probability of drawing a red marble is low because there are more non-red marbles in the bag. Therefore, this event is unlikely to happen.
Consider the given event.
Picking a random number between 1 and 10 and having it be both odd and even.
A number can only be either odd or even, but not both at the same time. This means it is impossible to find a number in the range 1--10 that is both even and odd. As a result, this event will not happen.
Determine the likelihood of the following scenarios. Write the answer in the form of a simplified fraction.
Selecting a month at random from the year and it turning out to be July. |
Drawing a card randomly from a standard deck and it being a face card (either a Jack, Queen, or King). |
Picking a random number between 1 and 30 and it being a multiple of 3. |
Look at the given event.
Selecting a month at random from the year and it turning out to be July.
We want to determine the probability of randomly choosing July from the twelve months in a year. January, February, March, April May, June, July, August September, October, November, December Since July is only one of the twelve potential outcomes, the probability of selecting it is represented by the ratio 1: 12. Let's write this ratio as a fraction. P(July)=1/12
Consider the given event.
Drawing a card randomly from a standard deck and it being a face card (either a Jack, Queen, or King).
A standard deck has four suits. Each suit has three face cards — a jack, a queen, and a king. The product of the face cards per suit and the number of suits gives the number of favorable outcomes. Number of favorable outcomes= 3* 4 ⇕ Number of favorable outcomes= 12 A standard deck has a total of 52 cars. Therefore, the ratio of 12 to 52 gives the probability of drawing a face card from a deck of cards. P(Face card)=12/52 ⇕ P(Face card)=3/13
Begin by looking at the given event.
Picking a random number between 1 and 30 and it being a multiple of 3.
We can create a list of all the multiples of 3 that are less than or equal to 30. Afterwards, we can count the number of favorable outcomes for this event. Multiples of3:& 3,6,9,12,15,18, & 21,24,27,30 Out of the total of 30 possible outcomes, there are 10 multiples of 3, which is the number of favorable outcomes. We can express the probability of obtaining a multiple of 3 as a ratio of 10 to 30. P(Multiple of3)=10/30 ⇕ P(Multiple of3)=1/3
We will examine each event individually to determine its probability. To do so, we will identify all possible outcomes and the favorable outcomes for each event.
Let's look at event A.
A friend selects a random month and it is a month with exactly 30 days.
We are interested in determining the probability of selecting a month with precisely 30 days. We know that there are 12 months, which is the total number of possible outcomes. Now, let's write a list of every month and its corresponding number of days.
Month | Number of Days |
---|---|
January | 31 |
February | 28 in a common year and 29 in a leap year |
March | 31 |
April | 30 |
May | 31 |
June | 30 |
July | 31 |
August | 31 |
September | 30 |
October | 31 |
November | 30 |
December | 31 |
We can see that only 4 months have exactly 30 days. This number represents the total number of favorable outcomes. Let's write the ratio of the number of favorable outcomes to the number of possible outcomes to determine the probability of picking a month with precisely 30 days. P(A)=4/12 ⇔ P(A)=1/3
Let's focus on event B.
A friend picks a random number from 1 to 13 that is a prime number.
We want to calculate the probability of randomly choosing a prime number from 1 to 13. A prime number is a number that only has 1 and itself as factors. Let's make a list of all the numbers from 1 to 13 and highlight the prime numbers. 1, 2, 3,4, 5,6, 7, 8,9,10, 11,12, 13 Out of the 13 possible outcomes, the 6 highlighted numbers are the favorable ones. Let's write the ratio of the favorable outcomes to the possible outcomes to determine the probability of event B. P(B)=6/13
Consider event C.
A friend draws a card from a standard deck that is a red queen.
There are 52 cards in a standard deck, and each suit has one queen. Out of the four queens, 2 are red — hearts and diamonds. Number of favorable outcomes= 2 Number of possible outcomes= 52 We can write the ratio of the number of favorable outcomes to the number of possible outcomes to find the probability of event C. P(C)=2/52 ⇔ P(C)=1/26
We have determined the probability of each of the given events. Let's summarize our results in a table.
Event | Description | Probability |
---|---|---|
A | A friend selects a random month and it is a month with exactly 30 days. | 1/3 |
B | A friend picks a random number from 1 to 13 that is a prime number. | 6/13 |
C | A friend draws a card from a standard deck that is a red queen. | 1/26 |
Heichi has 58 books in his collection, with 6 being fantasy and 8 being science.
We need to determine the probability of Heichi selecting a book that is not a fantasy or science. The probability of not choosing a fantasy or science book is the opposite of choosing one. This means that the sum of these complementary events adds up to 1. P(Not choosing a fantasy or science book) + P(Choosing a fantasy or a science book) =1 We know that out of the 58 books, 6 are fantasy and 8 are science. That means we have a total of 6+8= 14 books that fall into either of these categories. We can use the ratio of 14 to 58 to find the probability of choosing a fantasy or science book. P(Choosing a fantasy or science book)=14/58 ⇕ P(Choosing a fantasy or science book)=7/29 We can now substitute this ratio into the equation written previously for the sum of the complementary events. P(Not choosing a fantasy or science)+ 7/29=1 We now need to find the number that added to this ratio equals 1. This number is 2229. P(Not choosing a fantasy or science)+ 7/29=1 ⇓ 22/29+ 7/29=1 We can then infer that the probability of Heichi not choosing a fantasy or science book is 2229.