Answer:
2400 lbs
Step-by-step explanation:
To find the best estimate, you have to round the numbers to the nearest ten.
39 -> 40
58 -> 60
40 x 60 = 2400
Answer:
D) a chi square test for independence.
Step-by-step explanation:
Given that we suspect that automobile insurance premiums (in dollars) may be steadily decreasing with the driver's driving experience (in years), so we choose a random sample of drivers who have similar automobile insurance coverage and collect data about their ages and insurance premiums.
We are to check whether two variables insurance premiums and driving experience are associated.
Two categorical variables are compared for different ages and insurance premiums.
Hence a proper test would be
D) a chi square test for independence.
Answer:

So then the best option is:
a. 7.32
Step-by-step explanation:
Previous concepts
Analysis of variance (ANOVA) "is used to analyze the differences among group means in a sample".
The sum of squares "is the sum of the square of variation, where variation is defined as the spread between each individual value and the grand mean"
If we assume that we have
groups and on each group from
we have
individuals on each group we can define the following formulas of variation:
And we have this property

Where SST represent the total sum of squares.
The degrees of freedom for the numerator on this case is given by
where k =3 represent the number of groups.
The degrees of freedom for the denominator on this case is given by
.
And the total degrees of freedom would be
From the info given we know that
And
From definition the F statisitc is defined as:

So then the best option is:
a. 7.32
Total Attendence = Mean Attendence × No. of Incidents
= 24,500 × 25
= 612,500.