The data set provided consists of the following random variables:

1. BMI: The body mass index of a random set of people.
2. Distance: The distance (in feet) that a baseball player hit the ball.
3. Height: The height of males (in mm).
4. Income: The income (in dollars) of people in a large company.
5. Pass: The outcome when taking an exam (1=Pass; 0=Fail).
6. Wait Time: The time (in minutes) that it takes when waiting for the train.

Answer each question below. Use SPSS as needed and include the software outputs as part of the Word document you submit.

1. Using histograms and Q-Q plots (except for binomial), match each random variable to one of the following distributions: Binomial (with N=1, P=0.7), Chi-square (with d.f.=20), Exponential, Lognormal, Normal, and Uniform.

Height	Wait_Time	Distance	Income	BMI	Pass
1761	93.3	212.22	83417	30.7	1
1730	30.2	292.73	65362	17.5	0
1715	121.7	201.49	4952	15.4	1
1719	60.1	203.15	3421	20.8	1
1729	25.3	295.14	56709	33.0	0
1669	35.8	293.11	150955	36.5	1
1678	9.4	202.42	70836	23.4	0
1754	8.1	131.36	98074	21.9	1
1731	65	168	5470	14.2	1
1778	44	179.27	132079	14.0	1
1845	18	196.38	45930	21.9	0
1794	6.8	226.03	2443	14.9	1
1731	91.8	258.41	86774	18.8	1
1805	49.9	173.43	23114	47.9	1
1762	71	208.96	38543	20.4	1
1697	9.8	172.54	10192	11.3	0
1734	31.1	102.84	4771	12.7	1
1704	13.7	283.81	60354	12.4	1

Answer rating: 100% (QA)

To determine the distribution of each random variable we can analyze the histograms and QQ plots Unfortunately as a textbased AI model I cannot generate and include visual plots or SPSS outputs in thi... View the full answer