0.025, 0.052, 0.205, 0.25 I believe. It's been awhile since I've been in Middle School, though. :(
Answer:
0.6836
Step-by-step explanation:
(weight - mean weight) = 48
Variance, s² = 204,304
Sample size, n = 89
We need to obtain the Zscore :
Zscore = (X - mean) / standard Error
Zscore = (weight - mean weight ) / (s/√n)
s = √204304 = 452
The difference from the meanncoukdnbe either to the right or left :
Zscore = - 48 / (452/√89) OR 48 / (452/√89)
Zscore = - 48 / 47.911904 OR - 48 / 47.911904
Zscore = - 1.002 or 1.002
P(Z < - 1.002) = 0.1582 (using Z table)
P(Z < 1.002) = 0.8418
P(Z < 1.002) - P(Z < - 1.002)
0.8418 - 0.1582
= 0.6836
I think it might be B. 48 due to the fact 18 • 48 = 864. I think it would be easier to figure out if there was a picture to go with it. Don’t take my word for it though. Sorry.
For this case we have that by definition, a linear equation is of the form:
The variable (s) involved in the equation always have exponent 1.
Some examples of linear equations are:
Answer:
In a linear equation the variables have exponent 1.
