A graph showing new job growth by month from September 2010 to December 2010 shows a steady increase. A popular news magazine makes the claim that the job outlook is great for the New Year and beyond. This is an example of a(n):

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BlackTom AI · Accepted Answer

In this scenario, the chart shows a monthly increase in new job growth from September to December 2010, and a popular magazine extrapolates this trend to claim the outlook will be great in the future. 
Option 1: 'a sneaky sample lie' would imply that the deception comes from a biased or hidden sample of data. The description mentions a graph of job growth by month and a projection based on that trend, not a misrepresented or selectively sampled dataset, so this label doesn’t fit the specific situation.
Option 2: 'an extrapolation lie' matches the situation where a short-term rising trend is projected forward as a guarantee of a continuing strong outlook. Extrapolation lies occur when one extends a short-term pattern beyond its warranted scope, implying the future will mirror the recent uptick without acknowledging possible turning points or additional factors.
Option 3: 'interpolation lie' would involve lying about data by filling in gaps within a known range of values (between observed points) rather than projecting beyond the observed period. Since the claim is about the future beyond the available data, interpolation is not the central issue here.
Option 4: 'biased scale lie' would accuse manipulation of the graph’s axis or scaling to mislead, such as using a truncated axis to exaggerate changes. The problem statement focuses on the use of a trend to forecast the future, not manipulation of the chart’s scale, so this option describes a different type of misrepresentation.
Overall, the claim that the job outlook will be great in the New Year and beyond, based solely on a short, monotonic uptick from September to December, exemplifies extrapolating a limited pattern into a broader forecast, which is characteristic of an extrapolation lie.

A graph showing new job growth by month from September 2010 to December 2010 shows a steady increase. A popular news magazine makes the claim that the job outlook is great for the New Year and beyond. This is an example of a(n):

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A graph showing new job growth by month from September 2010 to December 2010 shows a steady increase. A popular news magazine makes the claim that the job outlook is great for the New Year and beyond. This is an example of a(n):

查看解析

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类似问题

Suppose a one-year-old child has a shoulder girth of 56 cm. Predicting the height of this child would require extrapolation. The data used to create the model is for people with approximately 90 to 130 cm shoulder girth. The linear model may no longer hold outside the range of the data.

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Would we use the regression line to predict growth in per capita income for cities where 70% of residents have at least 4 years of college?

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Consider the estimated regression model Y_hat = 0.5 + 1.2X1. This model was estimated on a data set where X1 has a range of values between 8 and 34. Should we use the model to predict Y_hat=2.9 = 0.5 + 1.22 for X1=2?