wage and salary workers with flexible schedules. The numbers of full-time wage and salary workers in each age category are almost uniformly distributed by age, with ages ranging from 18 to 65 years. If a worker with a flexible schedule is randomly drawn from the U.S. work force: (a) What is the height of this distribution? Draw the density curve (a) What is the probability that he or she will be older than 35 years of age?

Use the three distributions labeled i,ii,iii to answer the following questions (shown in picture upload)

Given the following data for an imaginary superhero universe:    Flying   Telepathy   Super Strength  Female 19 88 90 Male 96 33 68 Distribution of Super Power by Gender What is the empirical probability that a randomly selected superhero will have telepathy? Answer in decimal form.  Round to 3 decimal places as needed

According to​ Benford's Law, a variety of different data sets include numbers with leading​ (first) digits that follow the distribution shown in the table below. Test for​goodness-of-fit with​ Benford's Law.   Leading Digit 1 2 3 4 5 6 7 8 9 ​Benford's law: distribution of leading digits ​30.1% ​17.6% ​12.5% ​9.7% ​7.9% ​6.7% ​5.8% ​5.1% ​4.6%   When working for the Brooklyn District​ Attorney, investigator Robert Burton analyzed the leading digits of the amounts from 784 checks issued by seven suspect companies. The frequencies were found to be​ 0, 12,​ 0, 73,​ 482, 186,​ 8, 23, and​ 0, and those digits correspond to the leading digits of​ 1, 2,​ 3, 4,​ 5, 6,​ 7, 8, and​ 9, respectively. If the observed frequencies are substantially different from the frequencies expected with​ Benford's Law, the check amounts appear to result from fraud. Use a 0.05 significance level to test for​ goodness-of-fit with​ Benford's Law. What is the value…

Given the following data for an imaginary superhero universe: Flying Telepathy Super Strength Female 91 15 97 Male 44 74 80 Distribution of Super Power by Gender What is the empirical probability that a randomly selected superhero will have super strength? Answer in decimal form. Round to 3 decimal places as needed Your Answer: Answer

Hospital visits: According to a health agency, there were 409,689 hosital visits for asthma-related illnesses in a recent year. The age distribution was as follows. Round your answers to four decimal places if necessary. Age Range Less than 1 year 1-17 18-44 45-64 65-84 85 and up Total Send data to Excel Part 1 of 3 (a) What is the probability that an asthma patient is between 18 and 44 years old? The probability that an asthma patient is between 18 and 44 years old is 0.1944 Part 2 of 3 (b) What is the probability than an asthma patient is less than 1 year old? The probability that an asthma patient is less than 1 year old is 0.0192 Part: 2/3 Number 7862 103,032 79,653 121,731 80,658 16,753 409,689 Part 3 of 3 (c) Using a cutoff of 0.05, is it unusual for an asthma patient to be 85 years old or older? Based on a cutoff of 0.05, it (Choose one) unusual for an asthma patient to be 85 years old or older. is is not X

The marital status distribution of the U.S male population, age 15 and older, is as shown below in first column. Suppose that a random sample of 400 U.Syound adult males, 18-38 years old, yielded the following frequency distribution . We are interested in whether this age group of males fits the distribution of the U.S adult population. marital status expected frequency observed frequency never marreid  31.3 140 marreid 56.1 238 widowed 2.5 2 divorced/seperated 10.1 20 total 100 400 Choose the correct calculation