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Two way frequency tables are valuable tools in the field of statistics, allowing us to examine the relationship between two categorical variables. These tables not only display counts or frequencies but also highlight patterns and relationships when comparing data sets. The concept of conditional relative frequency emerges from this, helping to determine the proportion or percentage of a particular outcome given a specific condition. By using these tools, professionals and researchers can make informed decisions, predict outcomes, and derive meaningful insights from vast amounts of data.
Show less Show more expand_more| Student Learning Objectives: |
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| | 12 Theory slides |
| | 7 Exercises - Grade E - A |
| | Each lesson is meant to take 1-2 classroom sessions |
Zosia attends North High School in Honolulu. She asked 50 students whether they prefer a chocolate bar or a piece of fruit as a lunchtime snack and whether or not they surf. She obtained the following information.
Letting A be the event that a student surfs and B be the event that a student prefers fruit as a lunchtime snack, Zosia wants to calculate the following probabilities.
A two-way frequency table, also known as a two-way table, displays categorical data that can be grouped into two categories. One of the categories is represented in the rows of the table, the other in the columns. For example, the table below shows the results of a survey where 100 participants were asked if they have a driver's license and if they own a car.
Here, the two categories are car
and driver's license.
Both have possible responses of yes
and no.
The numbers in the table are called joint frequencies. Also, two-way frequency tables often include the total of the rows and columns — these are called marginal frequencies. Select any frequency in the table below to display more information.
Totalrow and the
Totalcolumn, which in this case is 100, equals the sum of all joint frequencies. This is called the grand total. A joint frequency of 43 shows that 43 people have a driver's license and own a car. A marginal frequency of 53 shows that 53 people do not have a car. The rest of the numbers from the table can also be interpreted.
Organizing data in a two-way frequency table can help with visualization, which in turn makes it easier to analyze and present the data. To draw a two-way frequency table, three steps must be followed.
Suppose that 53 people took part in an online survey, where they were asked whether they prefer top hats or berets. Out of the 18 males that participated, 12 prefer berets. Also, 15 of the females chose top hats as their preference. The steps listed above will now be used to analyze and present the data.
The total row and total column are included to write the marginal frequencies.
Zain has a job leading backpackers on excursions in the High Sierras. To better understand what time of day to plan certain activities, Zain posed a question to 50 backpackers about their sleep patterns: Are you a night owl or an early bird?
Zain then categorized the participants by sleep pattern and age — younger than 30 and 30 or older. Here is part of what was gathered.
Zain made a two-way frequency table with the data they collected. Unfortunately, some of the data values got smudged and are unable to be read! The missing data values have been replaced with letters, for now.
Find the missing joint and marginal frequencies to help Zain complete the table. Zain's next excursion depends on it.
With this information, the joint frequency B that represents the number of night owls aged 30 or older can be calculated. Of the 27 participants aged 30 or older, 11 are early birds. Therefore, the number of night owls aged 30 or older is the difference between these two values. 27-11= 16 This information can also be added to the table.
The missing marginal frequency C in the last row will now be calculated. Of the 50 participants, 28 said they are night owls. To find the number of early birds, the difference between these two values will be calculated. 50-28= 22 One more cell can be filled in!
Finally, the missing joint frequencies D and E in the first row can be found. D: & 22-11=11 E: & 28-16=12 The table can be completed with this information! Click on each cell to see its interpretation.
In a two-way frequency table, a joint relative frequency is the ratio of a joint frequency to the grand total. Similarly, a marginal relative frequency is the ratio of a marginal frequency to the grand total. Consider the following example of a two-way table.
Here, the grand total is 100. The joint and marginal frequencies can now be divided by 100 to obtain the joint and marginal relative frequencies. Clicking in each cell will display its interpretation.
Previously, Zain made a two-way frequency table about backpackers sleep patterns.
Zain wants to dig deeper into the data for even more clear interpretations, so they plan to calculate the joint and marginal relative frequencies.
Zain is beginning to feel a little tired themselves. Give them a hand and complete the table by matching each value with its corresponding cell.
The table below shows the joint and marginal relative frequencies.
One finding — of a variety — based on the joint and marginal relative frequencies, shows that about one-third of the participants who are 30 or older are night owls. Additionally, Zain can see that the participants are almost equally distributed among the categories, as both pairs of marginal relative frequencies have values close to 50-50.
A conditional relative frequency is the ratio of a joint frequency to either of its two corresponding marginal frequencies. Alternatively, it can be calculated using joint and marginal relative frequencies. As an example, the following data will be used.
Referring to the column totals, the left column of joint frequencies should be divided by 67 and the right column by 33. Furthermore, since the column totals are used, the sum of the conditional relative frequencies of each column is 1.
The resulting two-way frequency table can be interpreted to obtain the following information.
Using their two-way frequency table, Zain wants to continue improving the interpretation of their data by finding the conditional relative frequencies.
Zain will use the row totals to make the calculations.
Zain, really feeling close to being able to make some rock-solid interpretations, could still use a bit more help!
The table below shows the conditional relative frequencies.
Zain will now consider the two-way table that shows conditional relative frequencies obtained using row totals.
They want to calculate some conditional probabilities by using the table. Help Zain find these probabilities!
Knowing that a person is aged 30 or older, find the probability that they are a night owl.
Knowing that a person is younger than 30, find the probability that they are an early bird.
Knowing that a person is younger than 30, find the probability that they are a night owl.
Knowing that a person is aged 30 or older, find the probability that they are an early bird.
Likewise, the first cell of the second row shows the probability of a person being a night owl given that they aged 30 or older. Similarly, the second cell of the second row shows the probability of a person being an early bird given that they are aged 30 or older.
Paulina conducted a survey at Washington High. She asked 170 students whether they have cable TV and whether they took a vacation last summer. She displays the results in a two-way frequency table.
Using the table, Paulina wants to find out whether or not taking a vacation
and having cable TV
are independent events for this population of 170 students.
With this information, the probability of randomly choosing a student who took a vacation can be found.
Next, the probability that a random student who has cable TV took a vacation last summer P(A | B) will be found. The table shows that out of the 72 students who have cable TV, 41 took a vacation last summer.
Now, the probability of event A given event B can be found.
Comparing the found probabilities, it can be seen that they are not equal. P(A) & ≠ P(A|B) [0.5em] 0.33 & ≠ 0.57 This means that event B, a student having cable TV, affects event A, a student took a vacation last summer. Therefore, these events are not independent. Also, since P(A)< P(A|B), students with cable TV are more likely to have taken a vacation last summer.
At the beginning of the lesson, Zosia asked 50 students of North High School in Honolulu whether they prefer a chocolate bar or a piece of fruit as a lunchtime snack and whether they surf or not.
Letting A be the event that a student surfs and B the event that a student prefers a piece of fruit as a lunchtime snack, Zosia wants to calculate the following probabilities.
Next, the missing marginal frequencies can be calculated.
Now, two of the three missing joint frequencies can be calculated.
Finally, the last empty cell can be filled.
Now that the two-way table is complete, the desired probabilities can be found. Out of a total of 50 students, 42 surf and 28 prefer fruit as a lunch snack.
With this information, P(A) and P(B) can be calculated. c|c P(A) =42/50 & P(B)=28/50 ⇕ & ⇕ P(A)=21/25 & P(B)=14/25 Also, of the 28 students who prefer fruit, 27 surf. Likewise, of the 42 students who surf, 27 prefer fruit.
Knowing this, P(A|B) and P(B|A) can be calculated. c|c & P(B|A)=27/42 P(A|B)=27/28 & ⇕ & P(B|A)=9/14
At a high school, some students signed up for either the Drama Club or the Science Club. The following two-way frequency table shows what they signed up for this year.
Use the given information to calculate the probability that a randomly selected student is either a boy or in the science club P(S⋃ B). Answer with a fraction in its simplest form.
We need to find the probability that a randomly selected student is either a boy or is in the science club P(S⋃ B). Recall that the probability of a compound event can be calculated by using the Addition Rule of Probability. P(S⋃ B)=P(S)+P(B)- P(S⋂ B) The first two terms of the right-hand side represent the probabilities that a student is in the science club and the probability that a student is a boy, respectively. P(S⋃ B)=P(S)+P(B)- P(S⋂ B) The last term represents the probability that a student is in the science club and is a boy. P(S⋃ B)=P(S)+P(B)-P(S⋂ B) To determine these probabilities, we will first determine all marginal frequencies and the grand total.
Now we can determine P(S), P(B), and P(S⋂ B). P(S)&= 60/120 [1em] P(B)&= 64/120 [1em] P(S⋂ B)&= 38/120 Now let's calculate the probability that a randomly selected student is either a boy or is in the science club.