The owner of a local phone store wanted to determine how much customers are willing to spend on the purchase of a new phone. In a random sample of 14 phones purchased that day, the sample mean was $492.678 and the standard deviation was $26.4871. Calculate a 99% confidence interval to estimate the average price customers are willing to pay per phone.

99% confidence interval bto estimate the average price customers are willing to pay per phone is between a lower limit of $471.356 and an upper limit of $514.

Step-by-step explanation:

Confidence interval = mean + or - Error margin (E)

mean = $492.678

sd = $26.4871

n = 14

degree of freedom = n - 1 = 14 - 1 = 13

confidence level = 99%

t-value corresponding to 13 degrees of freedom and 99% confidence level is 3.012

E = t*sd/√n = 3.012 * $26.4871/√14 = $21.322

Lower limit = mean - E = $492.678 - $21.322 = $471.356

Upper limit = mean + E = $492.678 + $21.322 = $514

99% confidence interval to estimate the average price customers are willing to pay per phone is between $471.356 and $514.