Suppose a survey of adults and teens (ages 12-17) in a certain country was conducted to determine the number of texts sent in a single day. (a) Construct a relative frequency distribution for adults. (b) Construct a relative frequency distribution for teens. (c) Construct a side-by-side relative frequency bar graph. (d) Compare the texting habits of adults and teens. Number of Texts Adults Teens None 1-10 170 13 970 143 247 70 253 121 138 110 149 174 11-20 21-50 51-100 100+

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**Text Messaging Habits: Adults vs. Teens**

A survey was conducted to determine the number of texts sent in a single day among adults and teens (ages 12–17) in a certain country. The data gathered has been categorized based on the number of texts sent, and it has been summarized in the following table:

**Table: Number of Texts Sent Daily by Adults and Teens**

| Number of Texts | Adults | Teens |
|-----------------|--------|-------|
| None            | 170    | 13    |
| 1–10            | 970    | 143   |
| 11–20           | 247    | 70    |
| 21–50           | 253    | 121   |
| 51–100          | 138    | 110   |
| 100+            | 149    | 174   |

### Tasks:
(a) **Construct a relative frequency distribution for adults.**

(b) **Construct a relative frequency distribution for teens.**

(c) **Construct a side-by-side relative frequency bar graph.**

(d) **Compare the texting habits of adults and teens.**

### Explanation:
To fulfill the tasks above, one can follow these steps:

#### (a) Constructing a Relative Frequency Distribution for Adults
The relative frequency is computed by dividing the number of adults in each category by the total number of adults surveyed.

#### (b) Constructing a Relative Frequency Distribution for Teens
Similarly, the relative frequency for teens can be computed by dividing the number of teens in each category by the total number of teens surveyed.

#### (c) Constructing a Side-by-Side Relative Frequency Bar Graph
A side-by-side bar graph will help visualize the relative frequencies of text messages sent by adults and teens. Each category of the number of texts (e.g., None, 1–10, etc.) will have two bars standing next to each other, one representing adults and the other representing teens.

#### (d) Comparing the Texting Habits of Adults and Teens
To compare the texting habits of both groups, the differences in texting frequencies across the different text categories will be analyzed, highlighting notable disparities and possible reasons behind these patterns.

In sum, this study offers insights into how the text messaging behaviors of adults and teens differ, aiding in understanding the digital communication trends across different age groups.
Transcribed Image Text:**Text Messaging Habits: Adults vs. Teens** A survey was conducted to determine the number of texts sent in a single day among adults and teens (ages 12–17) in a certain country. The data gathered has been categorized based on the number of texts sent, and it has been summarized in the following table: **Table: Number of Texts Sent Daily by Adults and Teens** | Number of Texts | Adults | Teens | |-----------------|--------|-------| | None | 170 | 13 | | 1–10 | 970 | 143 | | 11–20 | 247 | 70 | | 21–50 | 253 | 121 | | 51–100 | 138 | 110 | | 100+ | 149 | 174 | ### Tasks: (a) **Construct a relative frequency distribution for adults.** (b) **Construct a relative frequency distribution for teens.** (c) **Construct a side-by-side relative frequency bar graph.** (d) **Compare the texting habits of adults and teens.** ### Explanation: To fulfill the tasks above, one can follow these steps: #### (a) Constructing a Relative Frequency Distribution for Adults The relative frequency is computed by dividing the number of adults in each category by the total number of adults surveyed. #### (b) Constructing a Relative Frequency Distribution for Teens Similarly, the relative frequency for teens can be computed by dividing the number of teens in each category by the total number of teens surveyed. #### (c) Constructing a Side-by-Side Relative Frequency Bar Graph A side-by-side bar graph will help visualize the relative frequencies of text messages sent by adults and teens. Each category of the number of texts (e.g., None, 1–10, etc.) will have two bars standing next to each other, one representing adults and the other representing teens. #### (d) Comparing the Texting Habits of Adults and Teens To compare the texting habits of both groups, the differences in texting frequencies across the different text categories will be analyzed, highlighting notable disparities and possible reasons behind these patterns. In sum, this study offers insights into how the text messaging behaviors of adults and teens differ, aiding in understanding the digital communication trends across different age groups.
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