# Question

Refer to the weight data in Table 2.8 on page 53. Note that there are 37 observations, the smallest and largest of which are 129.2 and 278.8, respectively.

Apply the preceding procedure to choose classes for cutpoint grouping. Use approximately eight classes. Note: If in Step 2 you decide on 20 for the class width and in Step 3 you choose 120 for the lower cutpoint of the first class, then you will get the same classes as used in Example 2.14; otherwise, you will get different classes (which is fine).

Contingency Tables. The methods presented in this section and the preceding section apply to grouping data obtained from observing values of one variable of a population. Such data are called univariate data. For instance, in Example 2.14 on page 53, we examined data obtained from observing values of the variable "weight" for a sample of 18- to 24-year-old males; those data are univariate. We could have considered not only the weights of the males but also their heights. Then, we would have data on two variables, height and weight. Data obtained from observing values of two variables of a population are called bivariate data. Tables called contingency tables can be used to group bivariate data, as explained in Exercise 2.84.

Apply the preceding procedure to choose classes for cutpoint grouping. Use approximately eight classes. Note: If in Step 2 you decide on 20 for the class width and in Step 3 you choose 120 for the lower cutpoint of the first class, then you will get the same classes as used in Example 2.14; otherwise, you will get different classes (which is fine).

Contingency Tables. The methods presented in this section and the preceding section apply to grouping data obtained from observing values of one variable of a population. Such data are called univariate data. For instance, in Example 2.14 on page 53, we examined data obtained from observing values of the variable "weight" for a sample of 18- to 24-year-old males; those data are univariate. We could have considered not only the weights of the males but also their heights. Then, we would have data on two variables, height and weight. Data obtained from observing values of two variables of a population are called bivariate data. Tables called contingency tables can be used to group bivariate data, as explained in Exercise 2.84.

## Answer to relevant Questions

The following bivariate data on age (in years) and gender were obtained from the students in a freshman calculus course. The data show, for example, that the first student on the list is 21 years old and is a male. a. Group ...According to JiWire, Inc., the top 10 countries by number of Wi-Fi locations, as of October 27, 2008, are as shown in the following table. Identify the type of data provided by the information in each of the following ...Explain the relative positioning of the bars in a histogram to the numbers that label the horizontal axis when each of the following quantities is used to label that axis. a. Lower class limits b. Lower class cutpoints c. ...For a qualitative data set, what is a a. Frequency distribution? b. Relative-frequency distribution? The following graph is based on one that appeared in an Arizona Republic newspaper article entitled "Hand That Rocked Cradle Turns to Work as Women Reshape U.S. Labor Force." The graph depicts the labor force participation ...Post your question

0