This quantitative data-analysis technique provides a summary of the orderly or sequential data obtained from the sample through the data-gathering instrument used? Skip to main content

This quantitative data-analysis technique provides a summary of the orderly or sequential data obtained from the sample through the data-gathering instrument used?

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Question: This quantitative data-analysis technique provides a summary of the orderly or sequential data obtained from the sample through the data-gathering instrument used?

The quantitative data analysis technique that provides a summary of the orderly or sequential data obtained from the sample through the data-gathering instrument used is called descriptive statistics.

Descriptive statistics are used to summarize and describe data. They can be used to calculate the central tendency (mean, median, and mode), dispersion (standard deviation and range), and distribution (shape) of a dataset. Descriptive statistics can also be used to compare two or more datasets.

Here are some examples of descriptive statistics:

  • Mean: The mean is the average of all the values in a dataset.
  • Median: The median is the middle value in a dataset when the values are ordered from least to greatest.
  • Mode: The mode is the most frequent value in a dataset.
  • Standard deviation: The standard deviation is a measure of how spread out the values in a dataset are.
  • Range: The range is the difference between the largest and smallest values in a dataset.
  • Distribution: The distribution of a dataset refers to its shape. For example, a dataset may have a normal distribution, a skewed distribution, or a uniform distribution.

Descriptive statistics can be used to summarize and describe data from a variety of sources, including surveys, experiments, and observational studies. They are an essential tool for researchers and analysts who want to understand and communicate the results of their work.

Here is an example of how descriptive statistics can be used to summarize and describe data from a survey:

A researcher conducts a survey of 100 students to learn about their study habits. The researcher collects data on the number of hours that each student studies per week. The researcher then uses descriptive statistics to summarize and describe the data.

The researcher calculates the mean, median, mode, standard deviation, and range of the data. The researcher also creates a histogram to show the distribution of the data.

The researcher finds that the mean number of hours that a student studies per week is 15 hours. The median number of hours that a student studies per week is 14 hours. The mode number of hours that a student studies per week is 12 hours. The standard deviation is 3 hours. The range is 10 hours.

The histogram shows that the distribution of the data is normal.

The researcher uses this information to conclude that the average student studies for 15 hours per week. The researcher also concludes that there is a wide variation in the number of hours that students study per week.

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