An investment will pay $20,000 at the end of the first year, $30,000 at the end of the second year, and $50,000 at the end of th
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Answer:
Normal goods have a positive relationship with income & purchasing power parity (PPP) with an increase in income ( I ) consumption of normal goods also increased respectively.
So, with the increase in students' income consumption of Pizza will be increased
As normal goods have a positive income elasticity of demand coefficient but it will be less than one.
Explanation:
Let’s discuss the normal goods, as a decrease in the price of normal goods its consumption will boost or increase. As when normal goods become cheaper, they will be consumed much as we know that people will consume them because of the logical reasoning of cheaper than its substitutes. Likewise, with an increase in income, its consumption will also increase but at a stage where it will become inelastic or constant.
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a. The point estimate of the married people that sleep well is = 0.6299. The confidence interval for the mean hours of sleep for those that have never been married but report good sleep is 0.6186, 0.6412
b. The point estimate of the number of hours for people that have never been married = 7.2257
95% confidence interval for the mean number of hours of sleep for those who have never been married = 7.2065, 7.2447
c. the estimated number of sleep for those that have never been married = 7.729 hours
a. The point estimate
Those who have never been married n = 7044
Xp = those who sleep for 7 hours at least
To get Xp, the <u>excel function </u>
Countif(range, criteria)
Countif(A:A, >=7)
This gives Xp = 4437
Point estimate =
= 0.6299
The point estimate of the married people that sleep well is = 0.6299
At 95% interval of confidence,
α = 1-0.95 = 0.05
α/2 = 0.05/2 = 0.025
Z0.025 = 1.96 ( Use the standard probability normal table)
Margin of Error
=
= 0.0113
The 95% confidence interval
= 0.6299 - 0.0113 , 0.6299 + 0.0113
= 0.6186, 0.6412
The confidence interval for the mean hours of sleep for those that have never been married is 0.6186, 0.6412
b. Sample mean
x = ∑x/n
x = number of sleep of the never been married
Mean is calculated using excel function
Average(range)
Average(a:a)
This gives the sample mean = 7.2257
The point estimate of the number of hours for people that have never been married = 7.2257
<u>Standard deviation</u> using excel =
Stdev(A:A) = 0.8211
= 0.0192
The<u> confidence interval</u> =
= 7.2257-0.0192, 7.2257+0.0192
= 7.2065, 7.2447
95% confidence interval for the mean number of hours of sleep for those who have never been married = 7.2065, 7.2447
c. From the available data, the mean number of sleep per day that is gotten from the 4437 people that are unmarried and sleep healthily for at least 7 hours = 34295.1
Mean = 34295.1/4437
= 7.729
the estimated number of sleep for those that have never been married = 7.729 hours
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