MTH 156 CSU Data Presentation Is Crucial Aspect of Contemporary World Responses



In an word published proper this year by shaftulates and statistics zealot Flo Tausend, Flo outlines separate stances of how shaftulates is skewed to minister a preferred fable (Tausend, 2020). The scenarios he describes includes “Truncated Y-axis”, purport that in a bar-graph pattern, the Y axis may not be set to set-on-foot at Zero. It may be set to set-on-foot where the graph begins changing past entireally, as demonstrated in the visual underneath.

Figure 1

When the graph manufacturer set-on-footed the graph at 2.8, the modify looked past entire than if it was set-on-footed at naught. This is an mimicry. It’d be past ghostly to consent delay a banner of a naught’d Y axis, which would peaceful allot an analyst to pronounce into a discriminating (but real) modify.

In another stance, Tausend explains how those in dismissal balance clime modify frequently tail their statements by looking at a particular shaftulates set betwixt the years 2000 and 2013. This is referred to “Cherry-picking” or discarding unfavorable shaftulates. See Figure 2 versus Figure 3.

Figure 2

Temperature Anomaly 2002–2013 (Source: NASA)

Figure 3


     Temperature Anomaly Complete (Source: NASA)

In Figure 3, it unquestionably can be seen that clime has modifyd entireally balance the developed few decades; nevertheless, it’s intentionally neglected by those who revere they own something to reach from clime modify not nature an shafterity. The ample draw must be made advantageous, gross period.

In a consider published by the American Accounting Association past than a decade ago, a knot of graph-makers or “decision-makers” was examined antecedently and following a inoculation session (Raschke & Steinbart, 2008). The meaning was to see if inoculation a knot of “decision-makers” encircling the principles of graph-making would subdue the affectness of decision-making biases when giveing shaftulates. The outcomes of the exemplification showed that there was no uttering modify. Even when deformity was defined, graph-makers chose to utter the fable they preferred.

Ultimately, this indicates that ethics in statistics and shaftulates delivery is censorious and that organizations must own consent checks in situate to gain strong representations of shaftulates are unjaundiced. Otherwise, stories affect those of Diederik Stapel, which we learn of in our passage are past affectly. When shaftulates is advantageous, it is ironical to give it in a way that supports an real feeling; nevertheless, stating the shaftulates as plainly as potential is the merely way that conducive renewal can be smitten on a statistic.

Tausend, F. (2020, April 17). Misleading Delay Postulates & Statistics. Retrieved May 15, 2020, from (Links to an visible predicament.)

Raschke, R. L., & Steinbart, P. J. (2008, September 01). Mitigating the Effects of Misleading Graphs on Decisions by Educating Users encircling the Principles of Graph Design. Retrieved May 15, 2020, from

Second shaft belo

There own been confused reports regarding the Covid 19 bane and the seasonal flu in percentages and deaths. This prompted my inquiry for notice on the seasonal flu in the United States. Underneath is a graph that illustrates the indispuconsideration tested cases of the flu on a bar graph.

flu cases.PNG

Figure 1 - Influenza Indispuconsideration Tests (Center for Disease Control and Prevention, 2020). 

According to (OpenStax, 2019), the shaftulates is indispensable discrete shaftulates owing it is numerical and can merely be in the arrange of gross enumerate (OpenStax, 2019). For stance, a idiosyncratic cannot be half indispuconsideration for the flu; the enumerate would be 1 idiosyncratic for a indispuconsideration or disclaiming outcome.  The graph itself is not misleading; nevertheless, one would nonproduction to learn the similar shaftulates on the consideration to individualize the developed equality of living-souls tested so that the notice on the graph could be implicit past completely or if one was comparing the figures to other banees for percentage of cases or percentage of indisputables. The shaftulates is underneath:

Figure 2 - Influenza Postulates (Center for Disease Control and Prevention, 2020)

For stance, the week of 201940 reflects 1.3% indispuconsideration cases but one would nonproduction to comprehend of how divers living-souls were tested to land at that percentage, which the consideration reflects 19,851. Due to the ever-changing enumerate of living-souls tested compared to indisputables, the percentage of indisputables to tests obtain constantly be changing.


Center for Disease Control and Prevention. (2020).Weekly U.S. Influenza Surveillance Report. Retrieved from

OpenStax. (2019). Introductory statistics. CC BY-SA. Houston, TX: OpenStax College. Retrieved from