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Which table would be used to answer the question assuming someone has a flower garden?

Which table would be used to answer the question assuming someone has a flower garden?

Table B

What is the best description of the value 0.375 in the table?

The best description is that: It was given that the program was targeted so there is a 37.5% chance that it was recorded. Since the value 0.375 is obtained when the frequency of the targeted adults with the recorded show were divided by the total frequency of the adults. i.e.

Which value for why in the table would be least likely to indicate an association between the variables?

0.69 would be the correct answer.

Which could be a conditional relative frequency?

Conditional relative frequency is determined based upon a row or column. It is the ratio of a frequency in the center of the table to the frequency’s row total or column total. In the conditional relative frequency table, the “total” column will sum to . Therefore, Table 2 is the conditional relative frequency table.

What is the difference between relative frequency and conditional relative frequency?

Explain your answer. A conditional relative frequency compares a frequency count to the marginal total that represents the condition of interest. The differences in conditional relative frequencies are used to assess whether or not there is an association between two categorical variables.

What is conditional frequency How do you determine which value is the denominator?

In order to determine the denominator, we add all the values in given column, and for second column,we add all the numbers in 2nd column, & it would be the denominator for each & every cell in that column. Hope this helps!

What is the difference between joint and marginal frequency?

Joint relative frequency is the ratio of the frequency in a particular category and the total number of data values. Marginal relative frequency is the ratio of the sum of the joint relative frequency in a row or column and the total number of data values.

What does joint frequency mean?

A joint frequency is how many times a combination of two conditions happens together.

How do you calculate joint frequency?

A joint relative frequency is found by dividing a frequency that is not in the Total row or the Total column by the frequency’s row total or column total. Example 1 : A survey is made among 100 students in a middle school.

What is the purpose of a joint frequency table?

The table shows one way to arrange the data. The joint relative frequencies are the values in each category divided by the total number of values, shown by the shaded cells in the table. Each value is divided by 20, the total number of individuals.

How do you solve a two way frequency table?

Two Way Relative Frequency Table. To convert counts into relative frequencies, divide the count by the total number of items. In the above table, the first count is for men / Rom-com (count=6), so 6/60 = 0.1.

How do you interpret a relative frequency table?

How you do this:

  1. Count the total number of items. In this chart the total is 40.
  2. Divide the count (the frequency) by the total number. For example, 1/40 = . 025 or 3/40 = . 075.

What is two way table?

Definition. A two-way table of counts organizes data about two categorical variables. Values of the row variable label the rows that run across the table, and values of the column variable label the columns that run down the table.

What is two way table example?

A two-way or contingency table is a statistical table that shows the observed number or frequency for two variables, the rows indicating one category and the columns indicating the other category. The row category in this example is gender – male or female.

How do you find the probability of a two way frequency table?

Two-Way Table and Sample Space

  1. Model real-life data using two-way frequency tables.
  2. Recognize that the conditional probability, p(A|B), represents the joint probability for A and B divided by the marginal probability of B.
  3. Use p(A|B) = p(A ∩ B)/p(B) to calculate conditional probabilities from a two-way frequency table.