Answer:
75%
Step-by-step explanation:
9/12 =
9 ÷ 12 =
0.75
Which is 0.75= .75
so 75/100= 75%
<em>ZaZa Out-</em>
Answer:
9
Step-by-step explanation:
The mean squared error (MSE)of a set of observations can be calculated using the formula :
(1/n)Σ(Actual values - predicted values)^2
Where n = number of observations
Steps :
Error values of each observation (difference between actual and predicted values) is squared.
Step 2:
The squared values are summed
Step 3:
The summation is the divided by the number of observations
The difference between the actual and predicted values is known as the ERROR.
(1/n)Σ(ERROR)^2
n = 3
Error = +3, +3, - 3
MSE = (1/3)Σ[(3)^2 + (3)^2 + (-3)^2]
MSE = (1/3) × [9 + 9 + 9]
MSE = (1/3) × 27
MSE = 9
Answer:
c=35 + 25m
Step-by-step explanation:
Sorry, that's all I got
The answer is 63.i hope this helped.
Answer: 0.7471
Step-by-step explanation:
Given : The Intelligence Quotient (IQ) test scores for adults are normally distributed with a population mean of
and a population standard deviation of
.
Sample size = 50
Using formula
, the z-value corresponding to x=98 will be:-

Z-value corresponding to x=103 will be:-

Using the standard normal distribution table for z-scores, we have
P-value = 
Hence, the probability we could select a sample of 50 adults and find that the mean of this sample is between 98 and 103 = 0.7471