Answer:
1. $29.4 million
2. 145.24
3. 145.24
4. 12.05
5. D. No, because the sample is not representative of the whole population.
Step-by-step explanation:
1. The computation of range of the sample data is shown below:-
Range of the sample data = Maximum value - Minimum value
= 42 - 12.6
= $29.4 million
2. For the computation of variance of the sample data first, we need to find out the mean which is shown below:-
Mean = 
= 24.83
The Variance of the sample data
= 
= 
= 145.24
3. The computation of the standard deviation of the sample data is shown below:-
The Standard deviation of the sample
= 
= $12.05155592
or
$12.05
4. No, as the sample does not represent the whole population.
Answer:
350 cm2
Step-by-step explanation:
use the formula 2h ( l+b)
Answer:
The population parameter of this study is the population mean.
Step-by-step explanation:
A population parameter is a numerical measure representing a certain characteristic of the population. For example, population mean, population variance, population proportion, and so on.
The population parameter is computed using all the values of the population.
The population parameter can be estimated using the sample statistic. If the value of the population parameter is not known, then a random sample of large size, say <em>n</em> ≥ 30 can be selected from the population and the statistic value can be computed. This statistic value is considered as the point estimate of the parameter. It is also known as the unbiased estimator of the parameter.
In this case the survey involved sampling of 1500 Americans to estimate the mean dollar amount that Americans spent on health care in the past year.
The sample selected is used to compute the sample mean dollar amount that Americans spent on health care.
So, the population parameter of this study is the population mean.
