Description Usage Format Source References Examples
The number of boys in a sample of 2,444 two-child families.
1 |
A data frame with 3 observations on the following 2 variables.
num.boys
a numeric vector
count
a numeric vector
Rodgers, J.L. and D. Doughty. 2001. Does having boys or girls run in the family? Chance Magazine Fall 2001: 8-13.
http://www.dartmouth.edu/~chance/chance_news/recent_news/chance_news_10.11.html#item13
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | data(TwoKids)
TwoKids
observed <- TwoKids$count
expected <- c(585.3, 1221.4, 637.3)
chisq.test(observed, p = expected, rescale.p = TRUE)
# Alternate calculation, using Pr[male] = 0.512
# and rbinom. See Figure 5.7-1
n <- sum(observed)
pr.m <- 0.512
pr.f <- 0.488
# Calculate the probabilities of 0, 1, and 2 males
(pr.0 <- pr.f^2)
(pr.1 <- pr.m * pr.f + pr.f * pr.m)
(pr.2 <- pr.m^2)
set.seed(1)
(expected2 <- c(rbinom(1, n, pr.0),
rbinom(1, n, pr.1),
rbinom(1, n, pr.2)))
chisq.test(observed, p = expected2, rescale.p = TRUE)
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num.boys count
1 0 530
2 1 1332
3 2 582
Chi-squared test for given probabilities
data: observed
X-squared = 20.038, df = 2, p-value = 4.454e-05
[1] 0.238144
[1] 0.499712
[1] 0.262144
[1] 582 1215 613
Chi-squared test for given probabilities
data: observed
X-squared = 16.764, df = 2, p-value = 0.0002289
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