O’connor company ordered a machine on january 1 at a purchase price of $95,000. on the date of delivery, january 2, the company paid $24,000 on the machine and signed a long-term note payable for the balance. on january 3, it paid $1,000 for freight on the machine. on january 5, o’connor paid cash for installation costs relating to the machine amounting to $5,700. on december 31 (the end of the accounting period), o’connor recorded depreciation on the machine using the straight-line method with an estimated useful life of 10 years and an estimated residual value of $10,200.

One question from a survey was "how many credit cards do you currently have? " the results of the survey are provided. complete parts (a) through (g) below. click the icon to view the survey results. (a) determine the mean number of credit cards based on the raw data. the mean is 3.113.11 credit cards. (type an integer or a decimal. do not round.) (b) determine the standard deviation number of credit cards based on the raw data. the standard deviation is 1.9111.911 credit cards. (round to three decimal places as needed.) (c) determine a probability distribution for the random variable, x, the number of credit cards issued to an individual. x (# of cards) p(x) x (# of cards) p(x) 1 0.280.28 6 nothing 2 nothing 7 nothing 3 nothing 8 nothing 4 nothing 9 nothing 5 nothing 10 nothing (type integers or decimals. do not round.)