AndersonB_Sec2_HW3

# AndersonB_Sec2_HW3 - Biological Statistics I Biometry 3010...

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Biological Statistics I Biometry 3010 / Natural Resources 3130 / Statistical Science 2200 Homework 3 Name: Beverly Anderson Section: 2 Date: 15 September 2010 Objectives: i. Explore methods for computing probabilities. ii. Determine how “normal” a random set of binomial values looks. iii. Understand how to test a simple hypothesis. 1. (5 points) Assume you have a coin that comes up heads 7 out of every 10 tosses, that is p=0.7. Calculate the distribution of heads in 10 tosses of that coin in two ways in R. a. Method 1 using the mathematical formula: which may be calculated by hand, or in R using the commands: > n = 10 > p = 0.7 > x = seq(0,10,by=1) > P1x = choose(n,x)*(p^x)*((1-p)^(n-x)) > P1x [1] 0.0000059049 0.0001377810 0.0014467005 0.0090016920 0.0367569090 [6] 0.1029193452 0.2001209490 0.2668279320 0.2334744405 0.1210608210 [11] 0.0282475249 b. Method 2 using the R function: > P2x = dbinom(x,n,p) > P2x [1] 0.0000059049 0.0001377810 0.0014467005 0.0090016920 0.0367569090 [6] 0.1029193452 0.2001209490 0.2668279320 0.2334744405 0.1210608210 [11] 0.0282475249 x n x p p x n p n x P - - = ) 1 ( ) , | (

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Plot the two estimates on top of one another using the commands: plot(x,P1x) lines(x,P2x) What is the most likely number of heads to occur in 10 tosses (i.e. the mode)? What is the average number of heads to occur (i.e. sum(x*P1x))? How does this compare to the theoretical value? The most likely number of heads to occur in 10 tosses is 7. > sum(x*P1x) [1] 7 The average number of heads to occur is also 7. This is also the theoretical value.
2. (10 points) Using the rbinom() function, generate a sample of size 10 from a binomial distribution representing 20 coin flips with a probability of 0.4 of a head. Use the stem() or hist() function to plot the distribution of values. Repeat with different sample sizes, ranging up to 100 or so. It is often said that the normal distribution is a good approximation to the binomial for large sample sizes. From the distributions you produced, at what value of the sample size does the does the distribution appear to be normal? Repeat the experiment using a probability of 0.05. Try the same exercise

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## This note was uploaded on 10/18/2010 for the course MATH 2070 taught by Professor Disalvo during the Fall '10 term at West Chester.

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AndersonB_Sec2_HW3 - Biological Statistics I Biometry 3010...

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