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.
Random, regular, and clumped distributions.
Independent assortment of chromosomes at meiosis explains Mendel’s ratio
An immunoblot. Lanes 1 to 3 are from an SDS gel; samples from successive stages
Independent and Dependent Variables
Independent assortment of alleles of two genes