What are the pros and cons of histograms?

What are the pros and cons of histograms?

Pros and cons

• Histograms are useful and easy, apply to continuous, discrete and even unordered data.
• They use a lot of ink and space to display very little information.
• It’s difficult to display several at the same time for comparisons.

What is an advantage of using a histogram?

The main advantages of a histogram are its simplicity and versatility. It can be used in many different situations to offer an insightful look at frequency distribution.

What are the weaknesses of a histogram?

Histograms have many benefits, but there are two weaknesses. A histogram can present data that is misleading. For example, using too many blocks can make analysis difficult, while too few can leave out important data.

Why can histograms be misleading?

Histograms can sometimes be misleading because of the way they conflate data into larger bins. For example, the graph showing year of composition shows five tragedies written between 459 and 450 BCE.

Why would someone create a misleading graph intentionally?

Misleading graphs may be created intentionally to hinder the proper interpretation of data or accidentally due to unfamiliarity with graphing software, misinterpretation of data, or because data cannot be accurately conveyed. Misleading graphs are often used in false advertising.

What is the function of histogram?

A histogram is used to summarize discrete or continuous data. In other words, it provides a visual interpretation. This requires focusing on the main points, factsof numerical data by showing the number of data points that fall within a specified range of values (called “bins”).

What does a histogram tell you about the data?

In short, histograms show you which values are more and less common along with their dispersion. You can’t gain this understanding from the raw list of values. Summary statistics, such as the mean and standard deviation, will get you partway there. But histograms make the data pop!

When would you use a histogram instead of a bar graph?

Histograms are used to show distributions of variables while bar charts are used to compare variables. Histograms plot quantitative data with ranges of the data grouped into bins or intervals while bar charts plot categorical data.

Can histograms be used for qualitative data?

Pie charts and bar graphs are used for qualitative data. Histograms (similar to bar graphs) are used for quantitative data. Line graphs are used for quantitative data.

How is quantitative data reliable?

The second measure of quality in a quantitative study is reliability, or the accuracy of an instrument. In other words, the extent to which a research instrument consistently has the same results if it is used in the same situation on repeated occasions.

Why are results of quantitative research generalizable?

Because sound generalizability requires data on large populations, quantitative research — experimental for instance — provides the best foundation for producing broad generalizability. The larger the sample population, the more one can generalize the results.

Can use statistics to generalize a finding quantitative research?

With this in mind, caution should be used when applying statistical generalization to case studies. In order to statistically generalize the findings of a research study the sample must be randomly selected and representative of the wider population. Such biases can limit statistical generalization.

What is generalization of results in quantitative research?

Generalisability in quantitative research refers to the extent to which we can generalise the findings from a sample to an entire population (provided that the sample is representative for the population) regardless of context, transferability refers to the extent to which we can transfer the findings found in a …

Is behavior qualitative or quantitative?

As quantitative research explicitly specifies what is measured and how it is measured in order to uncover patterns in – for example – behavior, motivation, emotion, and cognition, quantitative data collection is considered to be much more structured than qualitative methods.

What is the advantage of using deductive reasoning?

Essentially, deduction starts with a hypothesis and examines the possibilities within that hypothesis to reach a conclusion. Deductive reasoning has the advantage that, if your original premises are true in all situations and your reasoning is correct, your conclusion is guaranteed to be true.

What are some problems with inductive reasoning?

The negation of the conclusion of the inductive inference is not a contradiction. It is not a contradiction that the next piece of bread is not nourishing. Therefore, there is no demonstrative argument for the conclusion of the inductive inference.