Answer:
An appropriate method is to generate a simple random sample of all single-family homes in the city or a stratified random sample by taking a simple random sample from each of the ten district neighborhoods.
Step-by-step explanation:
A sampling procedure that gives an assurance that each item or person in the population has the same chance of being included in the sample is known as a simple random sample.
A sample obtained by dividing the population elements into strata and then selecting a random sample directly and independently from each stratum is known as a stratified random sampling.
Simple random or stratified random sample may be used by the real estate appraiser to predict appraised value from various characteristics of size, age, number bath rooms etc.
With respect to the simple random sample method, the real estate appraiser needs to obtain a random sample of single family homes and then study or predict the required characteristics.
Whereas, for the stratified random sampling method, he has to consider each of the given neighborhood districts (10) as stratums and generate a simple random sample from each of the stratum. Then, from the generated sample he would be able to study or predict the required characteristics.
The population given in this case study is finite and identifiable. Thus, it is enumerative.
An appropriate method is to generate a simple random sample of all single-family homes in the city or a stratified random sample by taking a simple random sample from each of the ten district neighborhoods.
Answer:
Step-by-step explanation:
60 minutes = 1 hour
The statement would be
"Customers arrive at a checkout counter in a department store according to a Poisson distribution at an average of seven per 60 minutes
If it takes approximately ten minutes to serve each customer, then the mean service time for in minutes for customers arriving during a 1-hour period is
10/60 × 7 = 1.67
In Poisson distribution, variance = mean
Therefore,
Variance = 1.67
The probability that the total service time will exceed 2.5 hours is expressed as P(x > 2.5)
Converting 2.5 hours to minutes, it becomes 2.5 × 60 = 150 minutes
From the Poisson distribution calculator,
P(x > 150) = 0
Answer:
4(3x-2)
Step-by-step explanation:
srry if I'm worng. hope it helped :)
1x10^-5 Answer =2 x 10^9
2x10^-4
L = 2W
A = L * W
A = 162
162 = 2W(W)
162 = 2W^2
162/2 = W^2
81 = W^2
sqrt 81 = W
9 = W
L = 2W
L = 2(9)
L = 18
P = 2(L + W)
P = 2(18 + 9)
P = 2(27)
P = 54 <===== perimeter is 54 m