MAT 540 Week 2 Guided Responses

Mat 540 Week 2 Discussion 1

Guided Response: Review the posts from your classmates, and respond to at least three, comparing your classmates’ reviews of graphical analysis with your own.

Respond to Shaun Scale post

Guidelines for Graphical Tools

· The utilization of graphics is to make your measurable discoveries more obvious and not unpredictable. A decent segment of the time in factual discoveries there are mind boggling collaborations between information gathered and the discoveries are spoken to. The graphical portrayal should separate this intricate circumstance yet at the same time give enough data to appropriately speak to the information

· Use graphics to speak to relativity, which is the connection between two informational collections. These graphics are significant in appearing changed or comparable informational indexes can be to each other.

· To speak data information utilizing lines and bends you should utilize various lines and bends to help speak to the information. This can be accomplished by utilizing naming instruments or various hues and giving an information key at the base or sides of the diagram that demonstrates the relationship between’ s the information and the hues and which ones speak to which.

· If at least two informational collections are in a solitary issue, at that point you should speak to the information in various sets through various particular designs which are independent.

Importance of Graphical analysis in research

· The utilization of graphical examination takes into consideration visual improvements as it gives a visual review of data in an issue that would have not been identified before without visual portrayal if a quantitative investigation approach was utilized because of the data given being spoken to in chart structure.

· Graphical investigation or analysis additionally takes into consideration a correlation of various parameters.

· Graphical investigation or analysis additionally helps scientists by demonstrating genuine information focuses rather than abridged composed examination.

Comparison

· Both graphical examination or analysis and quantitative investigation or analysis are scientific models in which information is broke down with the aim of understanding certain conditions.

· Both investigation strategies or analysis are carefully engaged with quantitative measurable assessments in which information is gathered and watched.

Reference:

Lind, D. A., Marchal, W. G., & Wathen, S. A. (2017).  Statistical techniques in business and economics. (17th ed.). Retrieved from http://connect.mheducation.com/class/Links to an external site.

       Passy. (2012, March 13). Misleading graphs (Links to an external site.)Links to an external site.Links to an external site.. Retrieved from http://passyworldofmathematics.com/misleading-graphs/

Respond to Bradley Pasvogel post

The technique of graphical analysis is essential to provide a visual of quantitative data and can be very useful for showing historical data trends between groups. Graphical analysis is demonstrated using images such as bar graphs which are visually helpful to show contrasts between areas and places or pie charts that can show statistical data, for example. However, there are also many other different ways to provide an overall data study in a brief snapshot such as histograms that show numerical data and scatter diagrams that compare two various measures of data to show the correlation between the information. The graphical representation includes massive amounts of statistical data and makes it more visually appealing if done correctly and will support decision making.

Although it is crucial that there are not too many data points which make them hard to understand and that the data is labeled and presented to emphasize the study and doesn’t become overwhelming with too many different data segments. When presenting graphs, it is important to understand your audience so that the meaning doesn’t get lost. The general rule to follow when building a PowerPoint that we have all seen is to have only five bullet points. If an individual essentially combines all the data of a PowerPoint presentation into a single table or graph, it won’t be valid to many members of the audience. I bring this up as it’s frustrating when someone has the talent to build very robust graphical information presentation, and it looks fancy, but it is so “busy” that it takes away from what the point of the presentation is about. When this happens, it relates to the quote, “all models are wrong, but some models are useful.”

Key guidelines for using graphical tools when presenting information clearly and effectively are to ensure the visual matches the information being presented and not to be a distraction and take away from the message but rather reinforce the presentation. Many times, a lot of data can be hard to read, so it’s vital to make sure it’s presented in a visually appealing fashion. That means clearly labeling, coloring, and sizing. Also, the presenter should understand what type of graph or chart should be used to convey the data. For example, a line graph would be useful to show changes over time or in the distance, whereas a bar graph is simple and contrasts data between areas and places.

Respond to Reginald Whimbush post

Graphical analysis is a science of describing, interpreting, and analyzing data by making numbers visible. Other forms of statistics are inferential, analytical, and descriptive statistics. Graphical analysis is represented in the form of pictures which are graphs. Graphs reiterate the worth of pictures as compared to a ‘thousand’ words. While conveying information about a given process, long lists of data are not practical for conveying such information (Lind, Marchal, & Wathen, 2017). There are many graphical tools which help in easier and faster production of graphs. As the numbers are made visible through graphs, there are instances where that data can be presented as numerical data. Unlike in graphical analysis where data is presented in the form of pictures, the qualitative analysis offers information which can be measured in terms of numbers. The graphical analysis enables clarity of communication as compared to quantitative analysis which collects a narrower and at times superficial dataset.

Some of the different techniques of graphical analysis used are line charts, pie charts, and dot plots among others. Line charts connect data points with straight lines to highlight trends in the data being represented. Time series plots, radar charts, SPC charts, and run charts are some of the examples of line charts. Pie charts are widely used and represent each category using a slice of the pie (Passy's World of Mathematics, 2012). Dot plots are graphical representations of data using dots as a form of a frequency distribution. Graphical help understands sources of variation in the data presented and this provides a focus for further analysis. Depending on the format of graphical analysis used, there are several parts required for information to be effectively and clearly presented. A figure number, caption, headnote, scales and axes, data field, symbols, and source line or credits are some of the most common parts which improve the validity of the graphical analysis.

References

Lind, D. A., Marchal, W. G., & Wathen, S. A. (2017). Statistical Techniques in Business and Economics. McGraw-Hill Education.

Passy's World of Mathematics. (2012). misleading-graphs. Retrieved from passyworldofmathematics.com: http://passyworldofmathematics.com/misleading-graphs/.Links to an external site.