moon

moon = matrix(c(2,3,17,21,37,19,11,14,9,6), ncol=2,byrow=TRUE)
colnames(moon) <- c("Full", "Not")
rownames(moon) <-c("Violent", "Property", "Drugs", "Domestic", "Other")
moon <- as.table(moon)
addmargins(moon)

##          Full Not Sum
## Violent     2   3   5
## Property   17  21  38
## Drugs      37  19  56
## Domestic   11  14  25
## Other       9   6  15
## Sum        76  63 139

prop.table(moon)

##                Full        Not
## Violent  0.01438849 0.02158273
## Property 0.12230216 0.15107914
## Drugs    0.26618705 0.13669065
## Domestic 0.07913669 0.10071942
## Other    0.06474820 0.04316547

chisq.test(moon)

## Warning in chisq.test(moon): Chi-squared approximation may be incorrect

## 
##  Pearson's Chi-squared test
## 
## data:  moon
## X-squared = 6.2052, df = 4, p-value = 0.1843

chisq.test(moon)$expected

## Warning in chisq.test(moon): Chi-squared approximation may be incorrect

##               Full       Not
## Violent   2.733813  2.266187
## Property 20.776978 17.223022
## Drugs    30.618705 25.381295
## Domestic 13.669065 11.330935
## Other     8.201439  6.798561

"a) independence test"

## [1] "a) independence test"

"b) Null is moon phase is independent of criminal behavior"

## [1] "b) Null is moon phase is independent of criminal behavior"

"c) chi-square prcoedure innacurate due to lack of data"

## [1] "c) chi-square prcoedure innacurate due to lack of data"

"#36"

## [1] "#36"

"a) put data in matrix with expected values"

## [1] "a) put data in matrix with expected values"

"b Ho: Moon is inpependent of criminal activity vs Ha: Ho is false:reject null because there is 0% cahance that amount of crimminal activity during full moon was due to random variation

"

## [1] "b Ho: Moon is inpependent of criminal activity vs Ha: Ho is false:reject null because there is 0% cahance that amount of crimminal activity during full moon was due to random variation\n\n"

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