Answer:
3/4
Step-by-step explanation:
Answer:
Actual mean: 223 pages
Predicted mean / estimate: 225 pages
Explanation below
Step-by-step explanation:
Mean = total amount ÷ # of numbers
155 + 214 + 312 + 198 + 200 + 170 + 250 + 260 + 215 + 256
Add
2,230
# of numbers = 10
2,230 ÷ 10 = 223
The exact mean is 223
If I were to predict the mean, I would say that a good estimation would be around 225, because I see that the highest number in the data set is 312, and the lowest is 155. If 312 is rounded down to 300, and 155 is rounded down to 150, the number exactly in the middle of 300 and 150 is 225.
Actual mean: 223 pages
Predicted mean: 225 pages
Hope this helps :)
Answer:
0.0776
Step-by-step explanation:
In order to solve this problema, Baye´s rule is used. Ii is expressed as follows:
P(A if B)=(P(B if A)*P(A))/(P(B))
Let A be women who have cancer and let B be women who have positive mammographies
So, P(B if A) would be women with breast cancer get positive mammographies
P(B if A) = 0.8
P(A) would be women with breast cancer
P(A) = 0.01
P(B) would be the women with positive mammographies. We don´t know it.
In order to find it we use law of total probability
P(B) = P(positive mammographies and cancer) + P(positive mammographies without cancer)
P(B) = 0.8*.01+0.096*0.99
P(B) = 0.103
With P(B) calculated we can complete the equation:
P(A if B)=(0.8*0.01)/0.103=0.0776
Probability is 0.0776
Answer:
c
Step-by-step explanation:
hope this helps
Answer:
(-x)(x^2 + 4x + 5)
Step-by-step explanation:
You have to factor out the -x from the rest of the expression.
