Benford's Law states that the probability that the first decimal-digit of a raw data sample (from 1 to 9) is given
Pm = log (m +1) - log m. That is, about (100P)% of the data can be expected to have m as the first digit. Complete parts a and b below.
a. What percent of the data can be expected to have 4 as the first digit?
Pa =
(Round to three decimal places as needed.)
b. Find P1+P2 + ... + P9. Interpret your result.
Py + P2 + ... +P9 =
(Type an integer or a decimal.)

2(n-1)+4n=2(3n-1)n=0no solutioninfinitely many solutions n= - 4 !

Phyllis and chen are saving money to go to a football game. each friend starts with some money and saves a specific amount each week. phyllis made a graph to show the total she has saved at the end of each week. chen wrote an equation to show the total, y, he has saved at the end of each week, x. y = 15x + 15 compare the amount that each friend has when both friends start saving. select the correct answer from the drop-down menu to complete the statement. phyllis starts with $ and chen starts with $

The table shows population statistics for the ages of best actor and best supporting actor winners at an awards ceremony. the distributions of the ages are approximately bell-shaped. compare the z-scores for the actors in the following situation. best actor best supporting actor muequals42.0 muequals49.0 sigmaequals7.3 sigmaequals15 in a particular year, the best actor was 59 years old and the best supporting actor was 45 years old. determine the z-scores for each. best actor: z equals best supporting actor: z equals (round to two decimal places as needed.) interpret the z-scores. the best actor was (more than 2 standard deviations above more than 1 standard deviation above less than 1 standard deviation above less than 2 standard deviations below) the mean, which (is not, is) unusual. the best supporting actor was (less than 1 standard deviation below more than 1 standard deviation above more than 2 standard deviations below more than 1 standard deviation below) the mean, which (is is not) unusual.