Publications by Matt Harvey
FA2_Distance Group 1-Assignment 1
Question 1 For males, perform an analysis that includes the descriptive statistics (e.g. min, max, sample mean, sample standard deviation, sample median, quartiles), histogram, and normal probability plot. Comment on the statistics and plots. Repeat the same for females. Be sure to uniquely label the title and x-axis, and color the histograms (mal...
2524 sym R (3274 sym/11 pcs) 5 img
FA2
Question 1 For males, perform an analysis that includes the descriptive statistics (e.g. min, max, sample mean, sample standard deviation, sample median, quartiles), histogram, and normal probability plot. Comment on the statistics and plots. Repeat the same for females. Be sure to uniquely label the title and x-axis, and color the histograms ...
722 sym R (5232 sym/18 pcs) 5 img
Flipped Assignment 12
Question 1 1.a # i. n=10? pnorm(10,25.3,2.8) ## [1] 2.323872e-08 # ii. n=25? pnorm(25,25.3,2.8) ## [1] 0.4573378 # iii. n=50? pnorm(50,25.3,2.8) ## [1] 1 1.b #The probability increased as n increased. For n=10, the probability was very small, while when n was sufficiently large the probability was 1. The distribution is normal as n incre...
344 sym Python (1996 sym/20 pcs) 1 img
Flipped Assignment 11
See Complete Code for defined data frames/variables. Question 1 1.a mean(dat) ## [1] 19.565 1.b median(dat) ## [1] 21.2 1.c var(dat) ## [1] 19.43397 1.d sd(dat) ## [1] 4.408398 1.e quantile(dat) ## 0% 25% 50% 75% 100% ## 12.100 14.925 21.200 23.050 25.400 1.f 1.g Question 2 2.a summary(dat2$SupplierA) ## Min. 1st Qu. ...
243 sym 6 img
Flipped Assignment 9 - Group 1
Discrete Distributions in R Question 1 A quality control inspector randomly samples 25 products from a production line and counts the number of defective products in the sample. Suppose it is known that the probability any one product is defective is 0.12. 1.a Plot the probability distribution: 1.b What is the probability that there are exact...
2296 sym 8 img
Flipped Assignment 2 - Group 3
1 The Samples The data contains 100 samples of diameter measurements. ## Diameter ## 1 10.261 ## 2 10.031 ## 3 10.203 ## 4 10.245 ## 5 10.389 ## 6 9.803 1.1 Logarithms The first few logarithms of the data are: ## Diameter ## 1 2.328350 ## 2 2.305680 ## 3 2.322682 ## 4 2.326790 ## 5 2.340748 ## 6 2.282688 2 Complete R ...
164 sym