The confidence interval is based on
mean square error. T<span>he </span>mean squared error<span> (</span>MSE<span>) </span><span>of an </span>estimator<span> measures the </span>average<span> of the squares of the </span>errors<span> or </span>deviations.<span> MSE is calculated by the formula attached in the picture, where Xbar is a vector of predictions, X is the vector of predicted values. </span>
Divide the area by the number in the triangle
Answer:
The answer is below
Step-by-step explanation:
The z score is a score used to determine the number of standard deviations by which the raw score is above or below the mean, it is given by the equation:

Given that μ = 650, σ = 50. To find the probability that 5 students who have a mean of 490, we use:

From the normal distribution table, P(x < 490) = P(Z < -7.16) = 0.0001 = 0.01%
Since only a small percentage of people score about 490, hence the local newspaper editor should write a scathing editorial about favoritism
Answer:
8x^2 with 40 as the numerator
Step-by-step explanation:
Answer:
7
Step-by-step explanation:
Add 10,11, and 5
10+11+5=26
subtract 26 from 33
33-26=7