Data Distributions IN SPSS

Details:The purpose of this assignment is to apply data distributions to
discrete and continuous data and justify the selection of the distributions.For this assignment, you will use the "Random Variables"
dataset. You will use SPSS to analyze the dataset and address the
questions presented. Findings should be presented in a Word document
along with the SPSS outputs.
Part 1: Identify if the following random variables are discrete or continuous.Number of defected items in a shipment.Height of
males (in mm) who attend Grand Canyon University.Yearly
income among all people in the United States.Whether or
not a high school graduate is accepted into a college.Time
that it takes for a person to run a mile.The number of
emergency hospital visits that each person had in the last 12
months.
Part 2: Let X be a random variable of the outcome after
rolling a six-sided die one time that is not fair. In fact,
the die is designed to never result in a 1 or 6, while the other
outcomes (i.e., 2, 3, 4, and 5) are equally probable.What are the individual probabilities for all possible values
of X?What are the cumulative probabilities for
all possible values of X?What is
P[X = 3]= ?What is
P[X ≤3] =
?
What is P[3 ≤X ≤5] =
?
Part 3:The dataset provided consists of the following random variables:
BMI: The body mass index of a random set of
people.
Distance: The distance (in feet) that a baseball
player hit the ball.
Height: The height of males (in mm).
Income: The income (in dollars) of people in a
large company.
Pass: The outcome when taking an exam (1=Pass;
0=Fail).
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.What is a Q-Q plot?Given a set of realized values of
a random variable, how can a Q-Q plot be used to assess the
distribution of the random variable?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.APA format is not required, but solid academic writing is expected.This assignment uses a grading rubric. Please review the rubric
prior to beginning the assignment to become familiar with the
expectations for successful completion. PLEASE REMEMBER THE ASSIGNMENT MUST HAVE THE FOLLOWING... Identification of random variables as discrete or continuous is complete and correct.,Solutions for probability questions are complete and correct.,Answers to multiple regression analysis questions and supporting SPSS output charts are complete and correct. AND ANSWER THE FOLLOWING TWO QUESTIONS...QUESTION 1 Summarize key data distribution concepts including probability mass
functions (PMF), probability density functions (PDF), and cumulative
distribution functions (CDF). Based on your organization or any
organization you are most familiar with, provide an example of a PMF, an
example of a PDF, and an example of a CDF, based on the type of data
used in the organization. How would you summarize each of these to
someone who is not familiar with each of these functions? QUESTION 2-
Suppose you had a six-sided die where each number
(1, 2, 3, 4, 5, and 6) has the same probability of showing up (1/6). If
the die is rolled an infinite number of times and the number recorded,
what will be the average value that shows up? Is the average value one
of the actual possibilities (1, 2, 3, 4, 5, or 6)? Why or why not?