Answer:
a. 0.71
b. 0.9863
Step-by-step explanation:
a. From the histogram, the relative frequency of houses with a value less than 500,000 is 0.34 and 0.37
-#The probability can therefore be calculated as:

Hence, the probability of the house value being less than 500,000 is o.71
b.
-From the info provided, we calculate the mean=403 and the standard deviation is 278 The probability that the mean value of a sample of n=40 is less than 500000 can be calculated as below:

Hence, the probability that the mean value of 40 randomly selected houses is less than 500,000 is 0.9863
Answer:
Step-by-step explanation:
The key to solving this question is to find the distance bwtween the two points given
distance=y2-y1/x2-x1
(2,4)(4,8)
2=x1,4=y1
4=x2
8=y2
8-4/4-2
4/2=2
The depth of the water is increasing by 2 ft each minute
Answer:
the complete question is found in the attachment
1) D. hyperbolic paraboloid
2)C. elliptic paraboloid
3)E. cone
4)F. hyperboloid.
Step-by-step explanation:
The complete explanation is found in the attachment
Answer:
d.There is insufficient evidence to conclude that the quality and price of a car are associated. There were ten cars used in the sample.
Step-by-step explanation:
Hello!
You have two variables X₁: quality score of a car and X₂: the price of a car.
It was analyzed id there is an association between the quality and the price.
The null hypothesis of a Spearman's rank correlation test is:
H₀: There is no association between the quality and the price of cars.
The researcher failed to reject the null hypothesis which means that there is no association between the variables of interest.
The sample size is listed in the output n= 10 consumer reports.
I hope you have a SUPER day!
X = <span>weight of the baby.
y = </span>weight of the doctor.
z = weight of the nurse.
x + y = 78 so y = 78 - x
x + z = 69 so z = 69 - x
x + y + z = 142
substitute y = 78 - x and z = 69 - x into x + y + z = 142
x + y + z = 142
x +78 - x + 69 - x = 142
-x + 147 = 142
-x = - 5
x = 5
answer
<span>the weight of the baby was 5 kg</span>