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Another lab group measures the speed of cars on Aloma. They find: the 2-door cars had a mean speed of 49 mph with standard deviation of 5 mph • the 4-door cars had a mean speed of 45 mph with standard deviation of 6 mph If their t' = 15, what can you infer about their experiment?

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Final answer:

A t-value of 15 suggests a statistically significant difference in the mean speeds of 2-door and 4-door cars on Aloma; this means that there is likely a true difference in speeds that is not due to random chance.

Step-by-step explanation:

The student's question pertains to the analysis of a statistical experiment comparing the mean speeds of 2-door cars and 4-door cars, with a given t-value (t') of 15. Drawing an inference based on the t-value indicates whether there is a significant difference in the speeds of the two types of cars. Since the standard deviation and the means for each group are given, this is typically analyzed using a t-test.

In this context, a t-value (t') of 15 is quite high, which suggests that the difference between the two sets of cars' mean speeds is statistically significant. Specifically, this would indicate that the probability of observing such a difference by random chance is extremely low, assuming that there is in fact no difference. High t-values tend to correlate with low p-values, which in hypothesis testing indicates that the null hypothesis (the hypothesis that there is no difference) can likely be rejected in favor of the alternative hypothesis (that there is a difference).

However, without additional context such as the sample size and the degrees of freedom, we cannot calculate the exact p-value or determine the significance level at which the null hypothesis can be rejected. Still, the high t-value here suggests a significant difference in the mean speeds between the two types of cars on Aloma.

User Soham Dasgupta
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