Exercise from Biostatistics with R
5.10 Exercises
Make sure to show work/code used in R studio
4 ( b – e) For part b, ignore the phrase “of each distribution
Consider N(3,2.1) distribution. Do the following tasks:
(a) Plot the probability density function and cumulative distribution function.
(b) Write down the mean and standard deviation of each distribution.
(c) Find the lower tail probability of 4.
(d) What is the probability that the value of the random variable is 2?
(e) What is the probability that the value of the random variable is bigger than 2 and less than or equal to 4?
10 (only answer the first question)
If the height (in inches) of newborn babies has the N(18,1) distribution, what is the probability that the height of a newborn baby is between 17 and 20 inches? What is the distribution of height in centimeters (1 inch = 2.54 cm)? Using this distribution, what is the probability that the height of a newborn baby is between 43.18 cm (17 inches) and 50.80 cm (20 inches)?
On R.H.S. is output and on L.H..S. is code
Exercise from Biostatistics with R 5.10 Exercises Make sure to show work/code used in R studio...
0. If the height (in inches) of newborn babies has the N (18, 1) distribution, what is the probability that the height of a newborn baby is between 17 and 20 inches? this distribution, what is the probability that the height of a newborn baby is n neonle suf- What is the distribution of height in centimeters ( inch 2.54 em)? Using between 43.18 cm (17 inches) and 50.80 cm (20 inches)?
R studio #Exercise : Calculate the following probabilities : #1. Probability that a normal random variable with mean 22 and variance 25 #(i)lies between 16.2 and 27.5 #(ii) is greater than 29 #(iii) is less than 17 #(iv)is less than 15 or greater than 25 #2.Probability that in 60 tosses of a fair coin the head comes up #(i) 20,25 or 30 times #(ii) less than 20 times #(iii) between 20 and 30 times #3.A random variable X has Poisson...
Will rate!! Show good work plz! Only need help on problems that do NOT involve R simulation Part 3. (13 points) Simulation of Gamma Random Variables Background: When we use the probability density function to find probabilities for a random variable, we are using the density function as a model. This is a smooth curve, based on the shape of observed outcomes for the random variable. The observed distribution will be rough and may not follow the model exactly. The...
7. r in During a major disaster, for example, a humicane, wrthquake is very important to have tems on hand in a recent survey, only 40% of Americans had a three-day supply of b Suppose a sample of 20 Americans is selected at random. Let X be the number of day supply of bored water on hand com e g whethe household ency r Does the random variable have a binomial distribution not why not? What artthew of n and...