D388 Fundamentals of Spreadsheets and Data Presentations - Set 3 - Part 1

Test your knowledge of technical writing concepts with these practice questions. Each question includes detailed explanations to help you understand the correct answers.

Question 1: What is the primary purpose of using descriptive statistics in data analysis?

To make predictions about future data

To summarize and describe the main features of a dataset

To establish cause-and-effect relationships

To compare multiple datasets

Question 2: In Excel, what does the function =SUM(A1

do?

Counts the number of entries in the range

Calculates the total of the numbers in the specified range

Finds the average of the numbers in the specified range

Question 3:

Data that can be ordered or ranked

Data that consists of categories without a specific order

Numerical data that can be measured

Question 4:

A characteristic of a sample

A numerical summary of a population

A graphical representation of data

Question 5:

The frequency of different categories

The relationship between two quantitative variables

The distribution of categorical data

Question 6:

=MAX

=MIN

=AVERAGE

Question 7:

To reduce the sample size

To ensure representation from various subgroups

To simplify the sampling process

Question 8:

The correctness and consistency of data

The visual presentation of data

The method of data collection

Question 9:

To show parts of a whole

To visualize the distribution of data through quartiles

To illustrate trends over time

Question 10:

It summarizes data without making predictions.

It allows conclusions to be drawn about a population based on a sample.

It is used only for large datasets.

Question 11:

calculate?

The sum of values in the range

The total count of entries in the range

Question 12:

It complicates the analysis process.

It transforms raw data into clear, visual formats to enhance understanding.

Question 13:

Line chart

Pie chart

Question 14:

The color of a car

The weight of a person

Question 15:

The central tendency of a dataset

The spread or variability of a dataset

Question 16:

After the analysis is complete

Before data is visualized

Question 17:

By averaging the highest and lowest values

By finding the median of the dataset

Question 18:

A common data point

A value that falls significantly outside the expected range

Question 19:

TEXTJOIN

CONCATENATE

Question 20:

Cleaning the data

Transforming data from one format to another

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