Question

ASAP PLEASE

The histogram shows data collected about the number of passengers using city bus transportation at a specific time of day.

A histogram titled City Bus Transportation. The x-axis is labeled Number Of Passengers and has intervals of 1 to 10, 11 to 20, 21 to 30, 31 to 40, and 42 to 50. The y-axis is labeled Frequency and starts at 0 with tick marks every 1 units up to 9. There is a shaded bar for 1 to 10 that stops at 2, for 11 to 20 that stops at 4, for 21 to 30 that stops at 5, for 31 to 40 that stops at 6, and for 42 to 50 that stops at 3.

Which of the following data sets best represents what is displayed in the histogram?

1 (4, 5, 7, 8, 10, 12, 13, 15, 18, 21, 23, 28, 32, 34, 36, 40, 41, 41, 42, 42)
2 (4, 7, 11, 13, 14, 19, 22, 24, 26, 27, 29, 31, 33, 35, 36, 38, 40, 42, 42, 42)
3 (4, 5, 7, 8, 12, 13, 15, 18, 19, 21, 24, 25, 26, 28, 29, 30, 32, 33, 35, 42)
4 (4, 6, 11, 12, 16, 18, 21, 24, 25, 26, 28, 29, 30, 32, 35, 36, 38, 41, 41, 42)

Answer 1

Explanation:

After organizing the data, the researcher must present them so they can be understood by those who will benefit from reading the study. The most useful method of presenting the data is by constructing statistical charts and graphs. There are many different types of charts and graphs, and each one has a specific purpose.

This chapter explains how to organize data by constructing frequency distributions

and how to present the data by constructing charts and graphs. The charts and graphs

illustrated here are histograms, frequency polygons, ogives, pie graphs, Pareto charts,

and time series graphs. A graph that combines the characteristics of a frequency distribution and a histogram, called a stem and leaf plot, is also explained.

Section 2–2 Organizing Data 35

2–3

Objective

Organize data using

frequency

distributions.

1

2–2 Organizing Data

Suppose a researcher wished to do a study on the number of miles that the

employees of a large department store traveled to work each day. The researcher

first would have to collect the data by asking each employee the approximate distance the

store is from his or her home. When data are collected in original form, they are called

raw data. In this case, the data are

1 2 6 7 12 13 2 6 9 5

18 7 3 15 15 4 17 1 14 5

4 16 4 5 8 6 5 18 5 2

9 11 12 1 9 2 10 11 4 10

9 18 8 8 4 14 7 3 2 6

Since little information can be obtained from looking at raw data, the research

Answer 2

c

Explanation:

its ez