--- title: "PSY_392_HW3" output: html_document --- Please read everything carefully!!! *** Due Friday, September 27th at 5:00 PM via email to Garrett (goday@purdue.edu) *** Submit this R markdown file but change the name of the file to lastName_FirstName_PSY392_HW3 *** Submitting an incorrect file type or a poorly labeled HW (e.g., HW3) will result in a 2 point deduction Question 1 - Explain the types of decisions that one can make with respect to the true state of the world. Why is this important to statistics? ```{r} # add your response as a comment in this code chunk ``` Quesiton 2 - Provide a real world example where making a miss would be the worst case scenario. ```{r} # add your response as a comment in this code chunk ``` Quesiton 3 - Provide a real world example where making a false alarm would be the worst case scenario. ```{r} # add your response as a comment in this code chunk ``` Getting to know the Binomial distribution in R! R comes with common distributions built in. To use to binomial distribution use the function to calculate the probability of exact events: dibinom(x, size, prob) x is the number of successful outcomes size is the number of trials prob is the probability of a succesful outcome ```{r} # What is the probability of flipping exactly 5 heads in 10 tosses? dbinom(5, size = 10, prob = .5) # The first number is the number of successful outcomes (5 heads) # Size is the number of times we flip the coin (10) # prob is the probability of a coin landing heads (.5) ``` Reproducing the mind reading table from lecture ```{r} dbinom(0, size = 10, prob = .5) dbinom(1, size = 10, prob = .5) dbinom(2, size = 10, prob = .5) dbinom(3, size = 10, prob = .5) dbinom(4, size = 10, prob = .5) dbinom(5, size = 10, prob = .5) dbinom(6, size = 10, prob = .5) dbinom(7, size = 10, prob = .5) dbinom(8, size = 10, prob = .5) dbinom(9, size = 10, prob = .5) dbinom(10, size = 10, prob = .5) ``` To find the probability of at least 5 correct guess, you would add up P(5) + P(6) + P(7) + P(8) P(9) + P(10) ```{r} dbinom(5, size = 10, prob = .5) + dbinom(6, size = 10, prob = .5) + dbinom(7, size = 10, prob = .5) + dbinom(8, size = 10, prob = .5) + dbinom(9, size = 10, prob = .5) + dbinom(10, size = 10, prob = .5) # a less bulky way to do this is to use the pbinom function which computes cumulative probability pbinom(4, size = 10, prob = .5) # this is the probability of four heads or less # we know probabilities sum to 1, so we can take the compliment of this to compute the probability of 5 or more correct guesses 1-pbinom(4, size = 10, prob = .5) # is the same result as summing P(5) to P(10) ``` To use to binomial distribution use the function to calculate cumulative probability use: pbinom(x, size, prob) x is the number of successful outcomes size is the number of trials prob is the probability of a succesful outcome Question 4 Using the either binomial function described above... ... What is the probability that a student gets 70% or better on a 10 problem multiple choice test by guessing? Each question on the test has four options. Be sure to interpret the probability (is this a good test?) You can check your work with this online calculator, but you are expected to provide R code that solves the problem. https://introstatsonline.com/chapters/calculators/binomialProb.html ```{r} # add your response as a comment in this code chunk # *** provide code for computing the probability *** # provide your interpretation as a comment ``` Question 5 - Hypothesis testing The online calculators may help you: https://introstatsonline.com/chapters/calculators/inverse_t_dist.shtml https://introstatsonline.com/chapters/calculators/t_dist.shtml Suppose the height of King Penguins last year was 90 cm. A penguin researcher in Antartica was able to measure 20 King Penguins this year and found the average height of the sample was 96 cm. Assume the sample standard deviation is 4 cm. Is this sample of penguins taller than the penguins from last year? ```{r} # add your response as a comment in this code chunk # be sure to include all of the steps for hypothesis testing ```