Answer:
Explained below.
Step-by-step explanation:
Convenience sampling is a kind of non-probability-sampling (i.e. all items doesn’t have an equivalent chance of being selected), which doesn’t comprises of random collection of items.
Convenience sampling is where we take in items which are easy to reach. This sort of sampling technique results in a biased sample.
Systematic sampling is a kind of probability sampling method in which individuals from a larger population are nominated according to a random initial point and a static, periodic interval. If the individual <em>k</em> is selected as the first sample then the sample space consists of every <em>k</em>th individual.
In this case the first sample is an example of convenience sample and the second is a systematic sample.
It would be 5180 for the answer
Answer:
8) (a) total throws = 200
(b)
Experimental probability of throwing an even number (2,4 or 6) = 9/20
Experimental probability of throwing a prime number (2, 3, or 5) = 23/40
Step-by-step explanation:
The question is not well expressed. It should have read the <em>experimental</em> probability is 0.225, because then we can related x to the number of throws. The theoretical probably (again assuming a fair die, not mentioned in the question) is 1/6.
If the experimental probablility is 0.225, then
x / (25+30+x+28+40+32) = 0.225
or
x-0.225x = 0.225(25+30+28+40+32)
0.775x = 0.225(155)
x = 45
(a) Total number of throws = 155+45 = 200
(b)
Experimental probability of throwing an even number (2,4 or 6)
= (30+28+32)/200 = 90/200 = 9/20 (= 45%)
Experimental probability of throwing a prime number (2, 3, or 5)
= (30+45+40)/200
= 115/200
= 23/40
(= 57.5%)
First, find the slope (m) using the formula: 
m = 
= 
= 0
Next, input the slope and ONE of the points into the point-slope formula:
y - y₁ = m(x - x₁) ; where (x₁, y₁) is the chosen point
y - (-5) = 0(x - (-1))
y + 5 = 0
y = -5
Answer: y = -5
Answer: 52
Step-by-step explanation:
