A bolt manufacturer is concerned about he consistency with which his machine produces bolts. The bolts should be 0.22 cm in diameter. The variance of the bolts should be 0.03 cm. A random sample of 19 bolts has an average diameter of 0.21 cm with a standard deviation of 0.2835 cm. The manufacturer wants to test whether the bolts vary by more than the required variance at a level of significance of 0.05. Which distribution should be used for this hypothesis test

s + (a + 178) = 2000

step-by-step explanation:

2000 - 178 = 1822

1822 / 2 = 911

911 + 178 = 1089

1089 + 911 = 2000

abha = 1089

shane = 911

{3 + i, 3 - i, 3, -1}

step-by-step explanation:

step-by-step explanation:

let's assume

number of candles set =x

price of of x candles =p(x)

we are given

a candle maker prices one set of scented candles at $10 and sells an average of 200 sets each week

so, we get point as (200,10)

he finds that when he reduces the price by $1, he then sells 50 more candle sets each week

so, we can find slope

now, we can use point slope form of line

now, we can plug values

we can use point

and find b

now, we can plug it back

and we get

now, we can find revenue

we know that

revenue = price*quantity

so, we get