Assuming that the tire mileage is normally distributed and the mean number of miles to failure is not known and a known σ = 3,700 miles. Using your sample of 41 tires as your estimate of the mean (X Bar); what is the upper and lower bound of a 95% confidence interval? (This was your Question #2): Suppose when you did this this calculation you found the ERROR to be too large and would like to limit the error to 1000 miles. What should my sample size be?

options a,b,c are the right answer.

step-by-step explanation:

a linear parent function is always represented as y = x

if we write this function in the form of y=mx+c

⇒

or  

now if we plot a graph we will find these characteristics:

1) y intercept of the graph is zero so its a straight line passing through origin.

2) as we can see in both the forms of function written, values of x and y may be either positive or negative for the positive slope means points on the graph are either in first quadrant or in third one.

3) it's slope is one.

maybe i can

step-by-step explanation:

where is the question is there is a formula or is there not one