Common Core: High School - Statistics and Probability : Summarize Interpret Categorical Data in Two-Way Frequency Tables: CCSS.Math.Content.HSS-ID.B.5
Study concepts, example questions & explanations for Common Core: High School - Statistics and Probability
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Example Questions
Example Question #83 : High School: Statistics & Probability
Suppose a social scientist wants to know the effects of gender upon film preferences. She samples fifty men and women and asks them to mark their preference between to genres: documentaries and dramas. She then constructs a two-way frequency table as shown:
What is the conditional probability of men who like documentaries?
This question requires us to calculate a conditional probability from a two-way frequency chart. Before we can calculate this probability, we need to consider the composition of these tables. The numbers located within the table are not quantitative (i.e. they simply represent the number of times a particular phenomenon occurs). These tables are made up of marginal and joint frequencies. Marginal frequencies occur in the columns and rows labeled as “titles,’” while the joint frequencies are embedded in the table. Let’s observe the frequency table given in the question:
Conditional probabilities are calculated by dividing a joint frequency by a marginal frequency. In this case we need to divide the number of men who like documentaries by the total number of men in the study (i.e. the two conditions we know).
Example Question #84 : High School: Statistics & Probability
Suppose a social scientist wants to know the effects of gender upon film preferences. She samples fifty men and women and asks them to mark their preference between to genres: documentaries and dramas. She then constructs a two-way frequency table as shown:
What is the conditional probability of men who like documentaries?
This question requires us to calculate a conditional probability from a two-way frequency chart. Before we can calculate this probability, we need to consider the composition of these tables. The numbers located within the table are not quantitative (i.e. they simply represent the number of times a particular phenomenon occurs). These tables are made up of marginal and joint frequencies. Marginal frequencies occur in the columns and rows labeled as “titles,’” while the joint frequencies are embedded in the table. Let’s observe the frequency table given in the question:
Conditional probabilities are calculated by dividing a joint frequency by a marginal frequency. In this case we need to divide the number of men who like documentaries by the total number of men in the study (i.e. the two conditions we know).
Example Question #85 : High School: Statistics & Probability
Suppose a social scientist wants to know the effects of gender upon film preferences. She samples fifty men and women and asks them to mark their preference between to genres: documentaries and dramas. She then constructs a two-way frequency table as shown:
What is the conditional probability of men who like documentaries?
This question requires us to calculate a conditional probability from a two-way frequency chart. Before we can calculate this probability, we need to consider the composition of these tables. The numbers located within the table are not quantitative (i.e. they simply represent the number of times a particular phenomenon occurs). These tables are made up of marginal and joint frequencies. Marginal frequencies occur in the columns and rows labeled as “titles,’” while the joint frequencies are embedded in the table. Let’s observe the frequency table given in the question:
Conditional probabilities are calculated by dividing a joint frequency by a marginal frequency. In this case we need to divide the number of men who like documentaries by the total number of men in the study (i.e. the two conditions we know).
Example Question #86 : High School: Statistics & Probability
Suppose a social scientist wants to know the effects of gender upon film preferences. She samples fifty men and women and asks them to mark their preference between to genres: documentaries and dramas. She then constructs a two-way frequency table as shown:
What is the conditional probability of men who like documentaries?
This question requires us to calculate a conditional probability from a two-way frequency chart. Before we can calculate this probability, we need to consider the composition of these tables. The numbers located within the table are not quantitative (i.e. they simply represent the number of times a particular phenomenon occurs). These tables are made up of marginal and joint frequencies. Marginal frequencies occur in the columns and rows labeled as “titles,’” while the joint frequencies are embedded in the table. Let’s observe the frequency table given in the question:
Conditional probabilities are calculated by dividing a joint frequency by a marginal frequency. In this case we need to divide the number of men who like documentaries by the total number of men in the study (i.e. the two conditions we know).
Example Question #81 : Interpreting Categorical & Quantitative Data
Suppose a social scientist wants to know the effects of gender upon film preferences. She samples fifty men and women and asks them to mark their preference between to genres: documentaries and dramas. She then constructs a two-way frequency table as shown:
What is the conditional probability of men who like documentaries?
This question requires us to calculate a conditional probability from a two-way frequency chart. Before we can calculate this probability, we need to consider the composition of these tables. The numbers located within the table are not quantitative (i.e. they simply represent the number of times a particular phenomenon occurs). These tables are made up of marginal and joint frequencies. Marginal frequencies occur in the columns and rows labeled as “titles,’” while the joint frequencies are embedded in the table. Let’s observe the frequency table given in the question:
Conditional probabilities are calculated by dividing a joint frequency by a marginal frequency. In this case we need to divide the number of men who like documentaries by the total number of men in the study (i.e. the two conditions we know).
Example Question #88 : High School: Statistics & Probability
Suppose a social scientist wants to know the effects of gender upon film preferences. She samples fifty men and women and asks them to mark their preference between to genres: documentaries and dramas. She then constructs a two-way frequency table as shown:
What is the conditional probability of men who like documentaries?
This question requires us to calculate a conditional probability from a two-way frequency chart. Before we can calculate this probability, we need to consider the composition of these tables. The numbers located within the table are not quantitative (i.e. they simply represent the number of times a particular phenomenon occurs). These tables are made up of marginal and joint frequencies. Marginal frequencies occur in the columns and rows labeled as “titles,’” while the joint frequencies are embedded in the table. Let’s observe the frequency table given in the question:
Conditional probabilities are calculated by dividing a joint frequency by a marginal frequency. In this case we need to divide the number of men who like documentaries by the total number of men in the study (i.e. the two conditions we know).
Example Question #89 : High School: Statistics & Probability
Suppose a social scientist wants to know the effects of gender upon film preferences. She samples fifty men and women and asks them to mark their preference between to genres: documentaries and dramas. She then constructs a two-way frequency table as shown:
What is the conditional probability of men who like documentaries?
This question requires us to calculate a conditional probability from a two-way frequency chart. Before we can calculate this probability, we need to consider the composition of these tables. The numbers located within the table are not quantitative (i.e. they simply represent the number of times a particular phenomenon occurs). These tables are made up of marginal and joint frequencies. Marginal frequencies occur in the columns and rows labeled as “titles,’” while the joint frequencies are embedded in the table. Let’s observe the frequency table given in the question:
Conditional probabilities are calculated by dividing a joint frequency by a marginal frequency. In this case we need to divide the number of men who like documentaries by the total number of men in the study (i.e. the two conditions we know).
Example Question #90 : High School: Statistics & Probability
Suppose a social scientist wants to know the effects of gender upon film preferences. She samples fifty men and women and asks them to mark their preference between to genres: documentaries and dramas. She then constructs a two-way frequency table as shown:
What is the conditional probability of men who like documentaries?
This question requires us to calculate a conditional probability from a two-way frequency chart. Before we can calculate this probability, we need to consider the composition of these tables. The numbers located within the table are not quantitative (i.e. they simply represent the number of times a particular phenomenon occurs). These tables are made up of marginal and joint frequencies. Marginal frequencies occur in the columns and rows labeled as “titles,’” while the joint frequencies are embedded in the table. Let’s observe the frequency table given in the question:
Conditional probabilities are calculated by dividing a joint frequency by a marginal frequency. In this case we need to divide the number of men who like documentaries by the total number of men in the study (i.e. the two conditions we know).
All Common Core: High School - Statistics and Probability Resources
