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ExtremeBDS [4]
3 years ago
14

A fast-food franchise is considering building a restaurant at a busy intersection. A financial advisor determines that the site

is acceptable only if, on average, more than 300 automobiles pass the location per hour. The advisor tests the following hypotheses: H 0: μ ≤ 300. HA: μ > 300. The consequences of committing a Type I error would be that ________.
Mathematics
1 answer:
STatiana [176]3 years ago
7 0

Answer:

Null hypothesis: \mu \leq 300

Alternative hypothesis: \mu >300

When we talk about a type I of error we are refering to a“false positive” and is associated when we reject a null  hypothesis when it is actually true.

And for this special case would be reject the null hypothesis that the true mean is lower or equal than 300 [/tex]\mu\leq 300[/tex] but that in fact is true.

This type of error is associated to the significance level \alpha assumed for the statistical test

Step-by-step explanation:

For this case we define the random variable X as the number of automobiles pass at a location per hour and we are tryng to proof this:

Null hypothesis: \mu \leq 300

Alternative hypothesis: \mu >300

When we talk about a type I of error we are refering to a“false positive” and is associated when we reject a null  hypothesis when it is actually true.

And for this special case would be reject the null hypothesis that the true mean is lower or equal than 300 [/tex]\mu\leq 300[/tex] but that in fact is true.

This type of error is associated to the significance level \alpha assumed for the statistical test

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Andrews [41]

Answer:

  (a)  13.85 °C

Step-by-step explanation:

The temperature difference is a decaying exponential function of time. Here, it decreases from an initial difference of 15 °C to 10 °C after 25 minutes. So, that temperature difference can be modeled as ...

  ΔT = 15(10/15)^(t/25)

We want to find the value of this at t=55. It is ...

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The temperature of the drink after 55 minutes is about 13.85 °C.

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Answer:

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Step-by-step explanation:

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