Answer:
Step-by-step explanation:
We are given that 30% of California residents have adequate earthquake supplies.
a) Ramon variable X denotes the number of the california residents that have adequate earthquake insurance
B) x can take value 1 ,2 ,3 ......
C)The distribution of random variable is geometric distribution with parameter p=0.3
The pmf of geometric distribution is
D)P(X=1) or P(X=2)=P(X=1)+P(X=2)
P(X=1) or P(X=2)=
E)
F)
p is the resident who does not have adequate earthquake supplies.
p = 1-0.3 = 0.7
G)
Question
Grandma Millie is shrinking! Her height decreases by 1/4 cm each year. What is her total change in height over 3 years?
Answer:
Total change in her height is ¾cm
Step-by-step explanation:
At the end of each year, her height would have decreased by ¼cm
Now we have to determine the total change in her height over 3 years
If the height of Grandma decreases by ¼ in one year
The. Her height would decrease by 3 * ¼ in 3 years
3 * ¼
= ¾ cm
Thus, the total change in her height over 3 years is ¾
We know that
[length of a circle]=2*pi*r
r=12 in
[length of a circle]=2*pi*12--------------> 24pi in
if 360° (full circle)--------------------> has a length of 24pi in
X-------------------------------------------> 8pi
X=8pi*360/24pi-----------> 120°
the answer is 120°
Hi there! To find the percent of change, do change/original = x/100. The amount of change means to find the distance between two numbers and the original is the previous price. 108 - 90 = 18. Plug in the values in order to get 18/90 = x/100. Cross multiply the values in order to get 1,800 = 90x. Now, divide each side by 90 to isolate the variable. When you do, you get x = 20. The store increased their prices by 20%.
Answer: Because all individuals in the sample have the same job, so the sample is biased.
Step-by-step explanation:
Ignoring the fact that 30 is a small sample for a large city, we already know that all the people in the sample has the same profession.
Now, we can expect that two dentists win have around the same income, but not all the residents in the city are dentists
A lot of them work in fast food, others may be lawyers, others may be freelancers.
We have a lot of jobs where the income does not coincide with the average income of a dentist, so with the sample of 30 dentists we are not actually representing all the other possible jobs that there are in the city.
If we want a sample that represents the income of all the residents, we should have a random sample (so the sample is not biased, like in this case).
