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Three hundred college students were randomly selected and the height was recorde

ID: 3258425 • Letter: T

Question




Three hundred college students were randomly selected and the height was recorded for each. In order to check if the underlying distribution is normally distributed, a normal probability plot was constructed and is shown above. What conclusion is CORRECT concerning these data? The heights are not normal because the plot does not conform well to a linear pattern, but has a curvilinear pattern instead. The heights are normal because the plot does not conform well to a linear pattern, but has a curvilinear pattern instead. The heights are normal because the pattern at normal score of 0 is approximately linear (vertical). The heights are not normal because the pattern at normal score of 0 is approximately linear (vertical).


Three hundred college students were randomly selected and the height was recorded for each. In order to check if the underlying distribution is normally distributed, a normal probability plot was constructed and is shown above. What conclusion is CORRECT concerning these data?


Three hundred college students were randomly selected and the height was recorded for each. In order to check if the underlying distribution is normally distributed, a normal probability plot was constructed and is shown above. What conclusion is CORRECT concerning these data? The heights are not normal because the plot does not conform well to a linear pattern, but has a curvilinear pattern instead. The heights are normal because the plot does not conform well to a linear pattern, but has a curvilinear pattern instead. The heights are normal because the pattern at normal score of 0 is approximately linear (vertical). The heights are not normal because the pattern at normal score of 0 is approximately linear (vertical).

Explanation / Answer

The heights are not normal because the plot does not conform well to a linear pattern, but has a curvilinear pattern instead. If heights were normal the normal plot would be approximately linear.

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