Please copy and paste the following link ( i tried uploading but didn\'t work) h

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Please copy and paste the following link ( i tried uploading but didn't work)

https://docs.google.com/spreadsheets/d/1JsbmShmOZUJlMTOmQccPU5_JckC5QpoVyYjXwJQ_OSs/edit?usp=sharing.

PLEASE PERFORM Z TEST On PROPORTION and DRAW CONCLUSION ABOUT RESULT

Statistical Data to be analyzed: please copy and paste following link (data is long)

Thank you!

Slnce samples are independent perform ztest for difference in proportions. Z-test on Proportion Using PHStat: Go to... "Two-Sample Tests; Z-Test for Differences in Two Prop..." Or Chi-Square Test for Differences in Two Prop... and p= 1 n 2 /n 2 x = the number of successes in the first group x2 -the number of successes in the second group n = the number of sample in the first group n, -the number of sample in the second group

Explanation / Answer

1) We can test for correlation between "TB patients with known HIV status" and "HIV positive TB patients on ART".

2) We apply the correlation test of the variables mentioned in 1).

> tt <- read.csv("clipboard",sep=" ")
> tt <- na.omit(tt)
> dim(tt)
[1] 123   7
> names(tt)
[1] "Country"                           "Year"                           
[3] "TB.patients.with.known.HIV.status" "HIV.positive.TB.patients.on.ART"
[5] "Tested.TB.patients.HIV.positive"   "Population"                     
[7] "Estimated.Number.of.TBCases"    
> cor.test(tt[,3],tt[,4])

   Pearson's product-moment correlation

data: tt[, 3] and tt[, 4]
t = 0.85183, df = 121, p-value = 0.396
alternative hypothesis: true correlation is not equal to 0
95 percent confidence interval:
-0.1012094 0.2508144
sample estimates:
       cor
0.07720831

3) Since the p-value associated with the correlation test is large, the correlation of 0.0772 is significant between these two variable.

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