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Author Question: Three hundred college students are randomly selected and their height is recorded. To support a ... (Read 121 times)

cyc028

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on: Feb 26, 2023

Question 1

The speed at which an automated assembly line produces a product follows a normal distribution, with a mean production time of 32.20 seconds and a standard deviation of 1.05 seconds. What is the probability that a product requires more than 34 seconds to produce?

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0.0436


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0.1710


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0.9564


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0.0038



Question 2


Three hundred college students are randomly selected and their height is recorded. To support a particular statistical analysis, the data set is tested for normality using the normal probability plot shown here. What conclusion is correct concerning this data set?


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


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


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The heights are not normal because the pattern at a normal score of 0 is approximately linear (vertical).


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The heights are normal because the pattern at a normal score of 0 is approximately linear (vertical).

Introductory Statistics: A Problem-Solving Approach ¦ Kokoska ¦ 3rd Edition
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Marked as best answer by cyc028 on Feb 26, 2023

knguyen

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Reply #1 on: Feb 26, 2023
Lorsum iprem. Lorsus sur ipci. Lorsem sur iprem. Lorsum sur ipdi, lorsem sur ipci. Lorsum sur iprium, valum sur ipci et, vala sur ipci. Lorsem sur ipci, lorsa sur iprem. Valus sur ipdi. Lorsus sur iprium nunc, valem sur iprium. Valem sur ipdi. Lorsa sur iprium. Lorsum sur iprium. Valem sur ipdi. Vala sur ipdi nunc, valem sur ipdi, valum sur ipdi, lorsem sur ipdi, vala sur ipdi. Valem sur iprem nunc, lorsa sur iprium. Valum sur ipdi et, lorsus sur ipci. Valem sur iprem. Valem sur ipci. Lorsa sur iprium. Lorsem sur ipci, valus sur iprem. Lorsem sur iprem nunc, valus sur iprium.
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cyc028

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Reply 2 on: Feb 26, 2023
Great answer, keep it coming :)

smrtceo

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Reply 3 on: Yesterday
Wow, this really help

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