Answer:
Stratified design with color of paper as the blocks
Step-by-step explanation:
The experimental design that this question uses is the stratified design with color of paper as the blocks
A stratified design is one where the population has been divided into strata that are homogeneous. A good number of participants would then be picked for each of the stratum. The homogeneous strata are also known as the blocks and here in this question we have color of paper as the block here.
The students are of different school levels, elementary, high school and middle school. Each of these levels have 100 students. The students in each levels are halved and each half is randomly assigned information on either a white paper or a blue paper.
Answer:
41/5
Step-by-step explanation:
First we change the 8 and 1/5% to 8.2%
Write the fraction down as a number over one = 8.2/1
Multiply both top and bottom by 10 for every number after the decimal point:
As we have 1 numbers after the decimal point, we multiply both numerator and denominator by 10. So,
8.2/1 = (8.2 × 10)
(1 × 10) = 82/10
Reduce the above fraction by dividing both numerator and denominator by the GCD (Greatest Common Divisor) between them. In this case, GCD (82,10) = 2. So, (82÷2)/(10÷2) = 41/5 when reduced to the simplest form.
As the numerator is greater than the denominator, we have an IMPROPER fraction, so we can also express it as a MIXED NUMBER, thus 82/10 is also equal to 81/5 when expressed as a mixed number.
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Classify each polynomial as a monomial, binomial, or trinomial. Combine like terms first.
We can classify the polynomial according to the number of terms
If we have one term then it is monomial
If we have two terms then it is binomial
If we have three terms then it is trinomial
(1) 

We have two terms so it is Binomial
(2)

We have three terms so it is Trinomial
(3) 

-2
We have one term so it is monomial
(4)

We have two terms so it is Binomial
Answer:
The standard deviation for the number of students who work full time = 8.38
Step-by-step explanation:
Given data
Sample size n = 284
No. of students work full time is P = 55 % = 0.55
No. of students who not work full time is Q = 100- 55 % = 45 % = 0.45
The standard deviation is given by

Put all the values in above equation we get

S.D. = 8.38
This is the standard deviation for the number of students who work full time.