Answer:
correct option is A. statistic
Step-by-step explanation:
given data
sample = 30
batteries = AAA
average lifetime = 1500 hours
to find out
find average lifetime with sample battery what is this called
solution
we know that sample mean that is
average of sample is called sample mean and is statistic
so here 30 sample is used
and here statistic is use to calculate the population parameter
so we can say that correct option is A. statistic
So first we need to make all of the denominators the same. To do this we multiply the top and bottom of the fraction. Multiply the top and bottom of 1/2 to get 4/8. then multiply the top and bottom of 3/4 by 2 to get 6/8. then add the numerators: 4+6+7= 17. Your answer is 17/8.
Keep in mind that we are not changing the quantity of the fractions, we are just changing how the whole is divided. Hope this helps (let me know if I confused you and I'll elaborate with a chart)
Answer:
=4.8875a
Step-by-step explanation:
c(a) = 4.25 a
m(c) = 1.15c
We want to find m(c(a) )= 1.15(4.25a) =4.8875a
Answer:
The expected value for the random variable is 14.16.
Step-by-step explanation:
We are given the following data below;
Z P(Z) 
9 0.16 1.44
12 0.25 3
15 0.36 5.4
18 0.17 3.06
21 <u> 0.06 </u> <u> 1.26 </u>
Total <u> 1 </u> <u> 14.16 </u>
Now, the expected value for the random variable Z is given by;
E(Z) = 
= 
= 14.16.
Answer:
Correct option: A. Weight.
Step-by-step explanation:
In regression analysis there are two kinds of variables: Explanatory and Response variable.
The explanatory variable are used to predict the changes in the response variable. They are also known as independent or predictor variable.
The response variable are observed for any changes caused by the explanatory variable. They are also known as the dependent or experimental variable.
In this case it is provided that heavier cars have lower fuel efficiencies.
It implies that there is linear inverse relationship between the variables weight of the car and fuel efficiency.
The response variable is the fuel efficiency and the explanatory variable is the weight of the car. Since the weight of the car is used to determine the fuel efficiency.
Thus, the explanatory variable is the weight of the car.
