This is an example of "a stratified sample".
<u>Answer:</u> Option B
<u>Explanation:</u>
A group-based sampling process that can be divided into subpopulations. For statistical studies, testing of each subpopulation separately may be useful if subpopulations within a total population differ, thus understood as "Stratified sampling".
One might, for instance, divide a adults sample into subgroups in terms of age, like 18 to 29, 30 to 39, 40 to 49, 50–59 etc with decided age difference as needed. A stratified sample may be more accurate than an easy sample of the similar size by random. As it offers more accuracy, a stratified sample sometimes involves a smaller sample, saving money.
Answer:
y = 3 and y = x + 3
Step-by-step explanation:
The equation y = 3 whose graph is a line parallel to x-axis can be a part of the system.
Consider the equation y = x + 3.
Substitute (0, 3).
3 = 0 + 3
So, (0, 3) lies on y = x + 3 and this can also be a part of the system.
Answer:
Option C.
Step-by-step explanation:
Sampling bias is a problem during the initial data gathering step of a survey.
When the first step is wrong, then the survey cannot produce non biased results.
The problem occurs when the design of the study is wrong the data collection procedure is wrong.
So, here answer seems C, because the starting point is not selected at random in this survey.
(C) Jean wants to estimate the mean amount of money spent on clothes per week by mall shoppers. She collects data from every 10th person entering a clothing store at the mall.
Step-by-step explanation:
So, the account is at 0 initially; after the 1st payment made to the statement, the only balance it'd have, is the first payment amount, so namely, what's the monthly amortized cost.
Ex.: the picture
So let's do the same!
<em>pymt:</em> 120,000 [0.049/12/1 - (1 + 0.049/12) -12 x 20]
Hope this helped!
This is called a double equation. If you solve for X, you would get 'any whole number.'
