Answer:
table:
.1, .25, .35, .2, .1
p(x=4) = .1
p(x<2) = .35
p(3≤x≤4)= .55
1.95, 1.12
Step-by-step explanation:
this is kind of hard to read, but i think i've got it
mean:
0*.1+1*.25+2*.35+3*.2+4*.1= 1.95
The second moment:
0²*.1+1²*.25+2²*.35+3²*.2+4²*.1= 5.05
the variance is the second moment minus the first moment squared (first moment is the mean) and then the standard deviation is the square root of the mean
5.05-1.95²= 1.2475 √1.2475= 1.1169 or 1.12
Alex's z score of 1.6 means her frequency of anxiety symptoms are 1.6 standard deviations more than the mean of all patients.
Z-score is defined as the relationship between a particular value or data to the mean of all the data present in a normal distribution. When the z-score is zero that means the data is equal to the mean.
where x=raw data,
=mean and
= standard deviation
Standard Deviation is a measure of how dispersed a data set is around its mean or central value. Numerically Standard deviation is defined as the square root of the variance of the distribution.
- Lower standard deviation means the data is clustered together
- A higher standard deviation means that the data is spread out over a larger area.
In the given problem as the z-score of Alex is given as 1.6, we can infer that the frequency of anxiety symptoms for Alex is 1.6 standard deviations more than the mean data.
Therefore from the above formula

To learn more about Z score:
brainly.com/question/25638875
To learn more about Standard deviation :
brainly.com/question/13905583
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A all squares have the sides
Marc would have7 bags of lunch