Answer:
22.05
Step-by-step explanation:
Using the normal distribution, it is found that there was a 0.9579 = 95.79% probability of a month having a PCE between $575 and $790.
<h3>Normal Probability Distribution</h3>
The z-score of a measure X of a normally distributed variable with mean
and standard deviation
is given by:

- The z-score measures how many standard deviations the measure is above or below the mean.
- Looking at the z-score table, the p-value associated with this z-score is found, which is the percentile of X.
The mean and the standard deviation are given, respectively, by:
.
The probability of a month having a PCE between $575 and $790 is the <u>p-value of Z when X = 790 subtracted by the p-value of Z when X = 575</u>, hence:
X = 790:


Z = 1.8
Z = 1.8 has a p-value of 0.9641.
X = 575:


Z = -2.5
Z = -2.5 has a p-value of 0.0062.
0.9641 - 0.0062 = 0.9579.
0.9579 = 95.79% probability of a month having a PCE between $575 and $790.
More can be learned about the normal distribution at brainly.com/question/4079902
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Mass = 100 g
Volume = 50 cm³
Density :
D = m / V
D = 100 / 50
D = 2 g/cm³
answer A
hope this helps!.
Answer:the 3rd one
Step-by-step explanation:
Answer:
Y=0.2
X=0.9
Step-by-step explanation:
-6x+5y=1
+6x -> 5y=1 -> y=0.2
6x+4y=-10
+6x -> 12x+4y=-10
12x+4*0.2=-10
12x+0.8=-10
-0.8
12x=-10.8
x=0.9