Answer:
30%
Step-by-step explanation:
Answer:
5.9 years.
Step-by-step explanation:
Central Limit Theorem
The Central Limit Theorem establishes that, for a normally distributed random variable X, with mean
and standard deviation
, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean
and standard deviation
.
For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.
For a proportion p in a sample of size n, the sampling distribution of the sample proportion will be approximately normal with mean
and standard deviation 
In this question:
Mean of the population is 
If a sampling distribution is created using samples of the ages at which 69 children begin reading, what would be the mean of the sampling distribution of sample means?
By the Central Limit Theorem, the same population mean, of 5.9 years.
Y=-3x+1
1 raises the y intercept and -3 is the slope that we can see from (0,1) to (1,-2)
Answer:
24
Step-by-step explanation:
I think it's 24 I don't knowI say I think
Answer: 16.07%
Step-by-step explanation:
Step 1: We make the assumption that 56 is 100% since it is our output value.
Step 2: We next represent the value we seek with x.
Step 3: From step 1, it follows that 100% = 56.
Step 4: In the same vein, x%=9.
Step 5: This gives us a pair of simple equations:
100=56(1).
x%=9(2).
Step 6: By simply dividing equation 1 by equation 2 and taking note of the fact that both the LHS
(left hand side) of both equations have the same unit (%); we have
100% = 56
--------- ----
x% 9
Step 7: Taking the inverse (or reciprocal) of both sides yields
x% = 9
----- ----
100% 56
x = 16.07%
Therefore, 9 is 16.07% of $56.