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Author Question: To compare the effectiveness of two kinds of bumper guards, two independent random samples of six ... (Read 69 times)

markburs

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on: Feb 26, 2023
To compare the effectiveness of two kinds of bumper guards, two independent random samples of six compact cars were outfitted with one of the two guards (6 cars with type 1 and 6 cars with type 2). Then, each car was run into a concrete wall at 5 mph. The average damage estimate for guard 1 was $1440. We know that the population variance of damage using bumper type 1 is 3632. The guard 2 sample had an average of $1490. We know that the population variance of damage using bumper type 2 is 2020. If we assume the populations are normally distributed, does it appear that the guards differ in effectiveness? Select the correctp-value and decision and state the null hypothesis. Useα= 0.05.

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p-value = 0.1032; fail to rejectH0; The null hypothesis is that the guards are equally effective.


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p-value = 0.0516; fail to rejectH0; The null hypothesis is that the guards are not equally effective.


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p-value = 0.0516; rejectH0; The null hypothesis is that the guards are not equally effective.


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p-value = 0.9894; fail to rejectH0; The null hypothesis is that the guards are equally effective.

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Marked as best answer by markburs on Feb 26, 2023

marufp

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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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markburs

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Reply 2 on: Feb 26, 2023
Excellent

kthug

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Reply 3 on: Yesterday
Wow, this really help

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