Complete Question
Which of the following statements are true?
I. The sampling distribution of has standard deviation even if the population is not normally distributed.
II. The sampling distribution of is normal if the population has a normal distribution.
III. When n is large, the sampling distribution of is approximately normal even if the the population is not normally distributed.
A I and II
B I and III
C II and III
D I, II, and III
None of the above gives the complete set of true responses.
Answer:
The correct option is D
Step-by-step explanation:
Generally the mathematically equation for evaluating the standard deviation of the mean() of samples is hence the the first statement is correct
Generally the second statement is true, that is the sampling distribution of the mean () is normal given that the population distribution is normal
Now according to central limiting theorem given that the sample size is large the distribution of the mean () is approximately normal notwithstanding the distribution of the population
X is 7 more than y
x>y then
difference betwen squares is 161 so
x=7+y
and
x²-y²=161
so
x=7+y
sub that for x in other equation
(7+y)²-y²=161
y²+14y+49-y²=161
14y+49=161
minus 49 both sides
14y=112
divide both sides by 14
y=8
sub back
x=7+y
x=7+8
x=15
the numbers are 15 and 8
Answer:
I think it's 74 it is pointing to 74
Answer:
Step-by-step explanation:
The same distance from both A and B. Because M is central point of AB
Answer:
It seems like you go the answer right which is 100
Step-by-step explanation:
Every light intensity can be divided by 10 in order to get the current.