Ralph is leasing a car worth $24,000 for three years. His leasing company says that the car Ralph is leasing will only be worth
2 answers:
Answer:
The answer is C. 33%
Step-by-step explanation:
The car was worth $24,000, being this the original value, after three years the car will be worth $16,000.
Therefore to know the percentage of the car’s original value will Ralph need to pay as part of his lease, we need to know the difference between the original value and the new value.
24,000-16,000= $8000.
And the percentage can be calculated dividing the difference by the original value of the car.
Therefore the percentage will be 33%
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Answer:
Null Hypothesis, :
= 136 mm Hg
Alternate Hypothesis, :
136 mm Hg
In this context type I error is rejecting that the μ is equal to 136 mm Hg when in fact μ is equal to 136 mm Hg.
Step-by-step explanation:
We are given that the mean systolic blood pressure, μ, of CEOs of major corporations is different from 136 mm Hg, which is the value reported in a possibly outdated journal article.
He measures the systolic blood pressures of a random sample of CEOs of major corporations and finds the mean of the sample to be 126 mm Hg and the standard deviation of the sample to be 18 mm Hg.
So, Null Hypothesis, :
= 136 mm Hg {means that the mean systolic blood pressure, μ, of CEOs of major corporations is 136 mm Hg}
Alternate Hypothesis, :
136 mm Hg {means that the mean systolic blood pressure, μ, of CEOs of major corporations is 136 mm Hg}
Type I error states that the null hypothesis is rejected when in fact the null hypothesis was true. So, in this context type I error is rejecting that the μ is equal to 136 mm Hg when in fact μ is equal to 136 mm Hg.
Suppose the researcher decides not to reject the null hypothesis. It means the researcher is making a type I error.