Answer:
Option C
Step-by-step explanation:
The central Limit Theorem says the sampling distribution of the sample mean is approximately normal under certain conditions
The conditions are
i) the population should be symmetrial. If population is skewed sample size should be sufficiently large atleast 30
ii) Samples should be drawn strictly at random
iii) the sample observations should be independent
Thus we find that option a is not necessary because even for skewed large sample size allows the theorem
Option b is not correct since if population is less than 30, sampling itself is not necessary.
Option d is also wrong since normality is not necessary
Only option C) The sample size must be large (e.g., at least 30) is the necessary condition
-2x-11 because you distribute the negative to everything in the parentheses and then combine like terms
can you show me what the math problem is?
Answer: C. x = 50
Step-by-step explanation: 2/5 x 50 = 100/5 = 20 and 20+10=30.
Answer:
y= -8x + 150
x = -0.125y + 18.75
Step-by-step explanation:
<u>y explanation:</u>
16x+2y=300
Add -16x to both sides: 16x+2y+(-)16x = 300 + (-)16x - this becomes:
2y = -16x+300
Now divide both sides by 2: 2y/2 = (-16x+300)/2 - this becomes:
-8x + 150
So...y= -8x+150
<u>x explanation:</u>
16x+2y = 300
Add -2y to both sides: 16x+2y+(-)2y = 300+(-)2y - this becomes:
16x = -2y+300
Now divide both sides by 16: 16x/16 = (-2y+300)/16 - this becomes:
-1/8y + 75/4...you can simplify this to: -0.125y + 18.75
So...x = -0.125y + 18.75
I hope this helps :)
