Answer:
The correct option which best describes this method is:
Find half of 24 to calculate the radius. Then square the radius and multiply the result by 
Option D is correct option.
Step-by-step explanation:
The circumference of table top = 24 inches
We need to find area of table top
The formula used to find area is: 
We need to find radius of tabletop.
The formula used to find circumference is: 
Putting value of circumference we can find radius
So, radius of table top = 12
Now, finding the area:
So, the correct option which best describes this method is:
Find half of 24 to calculate the radius. Then square the radius and multiply the result by
Option D is correct option.
Answer:
Y = 1/27x
Step-by-step explanation:
In order to find the inverse we switch places with x and y to get x = y27. In order to even out the equation, we divide both sides by 27 to get our answer. The answer would be y = x/27 or y = (1/27)x.
Apologies if I'm incorrect.
Answer: [ number 1 & 2are a rule of sequence ] 1: Write a rule for the sequence. 2,6,10,14 a; start with two and subtract four repeatedly b; start with four and add two repeatedly ** c; start with two and add four repeatedly d; start with two and add one , add two.
Step-by-step explanation:
Answer:
Step-by-step explanation:
We would set up the hypothesis test. This is a test of a single population mean since we are dealing with mean
For the null hypothesis,
µ ≥ 50000
For the alternative hypothesis,
µ < 50000
Since the population standard deviation is given, z score would be determined from the normal distribution table. The formula is
z = (x - µ)/(σ/√n)
Where
x = lifetime of the tyres
µ = mean lifetime
σ = standard deviation
n = number of samples
From the information given,
µ = 50000 miles
x = 45800 miles
σ = 8000
n = 29
z = (50000 - 45800)/(8000/√29) = - 2.83
Looking at the normal distribution table, the probability corresponding to the z score is 0.9977
Since alpha, 0.05 < than the p value, 0.9977, then we would accept the null hypothesis. Therefore, At a 5% level of significance, the data is not highly consistent with the claim.
