Answer:
34
Step-by-step explanation:
let x = number of stamps ranu gives out and the number of stamps cathy receives
200 - x = 132 + x
combine like term s
200 - 132 = 2x
68 = 2x
x = 34
The median is the value equivalent to the vertical line as shown. Hence the median point is 34
<h3>What is a median?</h3>
The median is defined as the value at the middle after rearrangement.
From the given boxplot, we have the following
The minimum value is equivalent to the lower position of the whisker = 22
The maximum value is equivalent to the upper position of the whisker = 42
The median is the value vertical line in between the box = 34
The lower quartile (Q1) = starting point of the box = 33
Upper quartile (Q3) = end point of the box = 38
For the boxplot, the median is the value equivalent to the vertical line as shown. Hence the median point is 34
Learn more on boxplot here: brainly.com/question/12992903?referrer=searchResults
this question is incomplete, the complete question is:
1. is this model effective
2. what is the correlation coefficient for this data.
3. for a student with a bmi of 25, what is the predicted number of hours under the influence.
Step-by-step explanation:
1. first of all this model is not effective because we have r² as 0.134. this tells us that only 13.4 percent of the of the variations that exist in this data has been explained by the model
1. we get the correlation coefficient by

the regression slope coefficient has a negative sign. this is what we would use in calculating the correlation coefficient.

= -√0.134
= -0.366
therefore the correlation coefficient is -0.366
2. to get the number of hours under the influence with a bmi of 25
the equation is
49.2-1.15bmi
= 49.2-1.15(25)
= 49.2-28.75
= 20.45
Answer:
Expected return for site A = $9.6 million
Expected return for site B = $12.4 million
according to the above results the company should choose SITE B because it has higher Expected return
Step-by-step explanation:
Given;
For site A,
Site A net if successful = $30 million
Success probability = 0.4
Site A loss if not successful= -$4 million
Probability of not successful = 0.6
For site B.
Site B net if successful = $60 million
Success probability = 0.3
Site B loss if not successful= -$8 million
Probability of not successful = 0.7
To estimate the expected return on an event with outcomes X1 and X2 with probabilities p1 and p2
E = X1(p1) + X2(p2)
Substituting for site A
E = 30(0.4) - 4(0.6)
E = $9.6 million
Substituting for site B
E = 60(0.3) - 8(0.7)
E = $12.4 million
Therefore, according to the above results the company should choose site B because it has higher Expected return
Answer:
1
Step-by-step explanation:

Remember that 
Plug it in:


