The One proportion Z-test is used to compare an observed proportion to a theoretical one, when there are only two categories.
## cyl
## am 4 6 8 Sum
## 0 3 4 12 19
## 1 8 3 2 13
## Sum 11 7 14 32
## cyl
## am 4 6 8
## 0 15.79 21.05 63.16
## 1 61.54 23.08 15.38
H0a: The proportion of cars am = 0, having cyl = 8 is equal to 60%
H1a: The proportion of cars am = 0, having cyl = 8 is not equal to 60%
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## 1-sample proportions test without continuity correction
##
## data: 12 out of 19, null probability 0.6
## X-squared = 0.078947, df = 1, p-value = 0.7787
## alternative hypothesis: true p is not equal to 0.6
## 95 percent confidence interval:
## 0.4103953 0.8085049
## sample estimates:
## p
## 0.6315789
The p-value of the test is 0.7787, which is greater than the significance level alpha = 0.05. We can conclude that the proportion of cars am = 0, having cyl = 8 is equal to 60%
H0a: The proportion of cars am = 0, having cyl = 8 is equal to 35%
H1a: The proportion of cars am = 0, having cyl = 8 is not equal to 35%
##
## 1-sample proportions test with continuity correction
##
## data: 12 out of 19, null probability 0.35
## X-squared = 5.4419, df = 1, p-value = 0.01966
## alternative hypothesis: true p is not equal to 0.35
## 95 percent confidence interval:
## 0.3863271 0.8276998
## sample estimates:
## p
## 0.6315789
The p-value of the test is 0.01966, which is less than the significance level alpha = 0.05. We can conclude that the proportion of cars am = 0, having cyl = 8 is not equal to 35%.
The two-proportions z-test is used to compare two observed proportions.
4 and 8 cyl cars having automatic transmission (am = 0)H0: The proportion of automatic transmission (am = 0) among 4-cylinder cars (cyl = 4) is the same as the proportion of automatic transmission (am = 0) among 8-cylinder cars (cyl = 8)
If p-value > 0.05, we FAIL TO REJECT the Null Hypothesis H0
If p-value < 0.05, we REJECT the Null Hypothesis H0
##
## 2-sample test for equality of proportions with continuity correction
##
## data: c(3, 12) out of c(11, 14)
## X-squared = 6.5003, df = 1, p-value = 0.01079
## alternative hypothesis: two.sided
## 95 percent confidence interval:
## -0.9863121 -0.1825191
## sample estimates:
## prop 1 prop 2
## 0.2727273 0.8571429
The p-value of the test is 0.01079 , which is less than the significance level alpha = 0.05. We can conclude that the proportion of automatic transmission (am = 0) among 4-cylinder cars (cyl = 4) is not the same as the proportion of automatic transmission (am = 0) among 8-cylinder cars (cyl = 8)