Question

Together with histograms and other graphing techniques,

a. Can be used to represent data effectively.
b. Are ineffective for data representation.
c. Should be avoided in statistical analysis.
d. Are only suitable for qualitative data.

Answer 1

Answer: A

Step-by-step explanation:

B: Histograms and graphing techniques are known to be effective in rep data. So B is wrong.
C: This does not make sense as statistical analysis commonly uses these techniques.
D: Histograms and Graphing techniques are usually used for quantitative data. So D is wrong.

I may be wrong so I am open to any correction. Thank you

Answer 2

Histograms, frequency polygons, and time series graphs are effective tools for representing data, particularly for large data sets and data over time.

Step-by-step explanation:

Histograms, frequency polygons, and time series graphs are all effective tools for representing data. Histograms are particularly useful for displaying large, continuous, quantitative data sets. They consist of bars of equal width drawn adjacent to each other, with the heights of the bars corresponding to frequency values. Frequency polygons, on the other hand, can be used when graphing large data sets with data points that repeat, with the data usually displayed on the y-axis and the frequency on the x-axis. Time series graphs are helpful for analyzing data for one variable over a period of time.