Answer: The distribution of sample means is:
As the sample size is more than 30 so the sampling distribution of the sample means can be said to be approximately normal with the mean equal to 10.53 hours and standard deviation equals to 0.33 hours.
Explanation:
The mean,
μ=10.53
The population standard deviation,
σ= 2
The sample size, n=36
z score:
z= (xbar −μ)/σ
The standard error:
σxbar=σ/√n
=2/√36
=0.33
The standard error represents the distribution sample mean is 0.33.
Answer:
D. services.
Explanation:
Examples of services are financial service, delivery services.
The economic activities that typically produce an tangible product are referred to as goods.
I hope my answer helps you
The answer is D because it is not a
Answer:
- <em>As explained below, given that the score of the person is among the 0.03125 fraction of the best applicants, </em><u><em>he can count on getting one of the jobs.</em></u>
<em></em>
Explanation:
The hint is to use <em>Chebyshev’s Theorem.</em>
Chebyshev’s Theorem applies to any data set, even if it is not bell-shaped.
Chebyshev’s Theorem states that at least 1−1/k² of the data lie within k standard deviations of the mean.
For this sample you have:
- mean: 60
- standard deviation: 6
- score: 84
The number of standard deviations that 84 is from the mean is:
- k = (score - mean) / standar deviation
- k = (84 - 60) / 6 = 24 / 6 = 4
Thus, the score of the person is 4 standard deviations above the mean.
How good is that?
Chebyshev’s Theorem states that at least 1−1/k² of the data lie within k standard deviations of the mean. For k = 4, that is:
- 1 - 1/4² = 1 - 1/16 = 0.9375
- That means that half of 1 - 0.9375 are above k = 4: 0.03125
- Then, 1 - 0.03125 are below k = 4: 0.96875
Since there are 70 positions and 1,000 aplicants, 70/1,000 = 0.07. The compnay should select the best 0.07 of the applicants.
Given that the score of the person is among the 0.03125 upper fraction of the applicants, this person can count of geting one of the jobs.
Answer:
Misstatement of age
Explanation:
Based on the information provided within this question it can be said that the term that describes what is happening in this situation would be Misstatement of Age. Like mentioned in the question this is a provision in many life insurance policies which adjusts the individuals premium to the actual price based on their age if there was an error with the individuals age in the policy. Which is exactly what has happened to Lisa Smith.
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