The probability that this adult used non-prescription antidepressants is 0.78.
<h3>How to calculate the probability?</h3>
Based on the information given, the following can be deduced:
Let A = event where adults visit therapist.
Let B = event where adults used non prescription antidepressants.
P(A) = 0.27
P(B) = 0.46
P(A n B) = 0.21
The probability that a randomly selected adult who visited the therapist used non-prescription antidepressants will be:
= 0.21/0.27
= 0.78
The probability that an adult visited a therapist during the past year, given that he or she used non-prescription antidepressants will be:
= 0.21/0.46
= 0.46
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The m variable is the slope of the line and controls its 'steepness'. A positive value has the slope going up to the right. A negative slope goes down to the right. The b variable is the y intercept - the point where the line crosses the y axis.
example 1
y = mx + b
m = slope b = y-intercept
y = 3x - 1
m = 3 and b = -1
example 2
y = b + m<em>x</em><em> </em>
b = y-intercept m = slope
y = 5 - 1/2x
m =- 1/2 and b = 5
(<u><em>hope this helped!!)</em></u>
can i have brainliest?
Answer:
The temperatures were more consistent in Springville
Step-by-step explanation:
This question is on consistency of data
Generally, consistency of a data set is measured by determining the range, the variance or the standard deviation.In this case, we will use the standard deviation.
A small standard deviation means higher consistence.A lower standard deviation will mean easy to predict a value because most of the values are closer to the average value.When the variations are less, a better analysis can be performed on a set of data.
Temperatures were more consistent in Springville that had a standard variation of 4F compared to Dakota that had a standard deviation of 6.8F
Answer:
Its blocked for me.
Step-by-step explanation:
The third one..............