Chapter 6 t TEST FOR THE MEAN OF 1 SAMPLE
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Required Packages
library(tidyverse) # Loads several very helpful 'tidy' packages
library(haven) # Read in SPSS datasetsExample: Cancer Experiment
The Cancer dataset was introduced in chapter 3.
6.1 1 Sample Mean vs. historic control
example: Do the patients weigh more than 165 pounds at intake, on average?
cancer_clean %>%
dplyr::pull(weighin) %>%
t.test(mu = 165)
One Sample t-test
data: .
t = 2.0765, df = 24, p-value = 0.04872
alternative hypothesis: true mean is not equal to 165
95 percent confidence interval:
165.0807 191.4793
sample estimates:
mean of x
178.28 6.2 Change the Confidence Level
Find a 99% confience level for the population mean weight.
cancer_clean %>%
dplyr::pull(weighin) %>%
t.test(mu = 165,
conf.level = 0.99)
One Sample t-test
data: .
t = 2.0765, df = 24, p-value = 0.04872
alternative hypothesis: true mean is not equal to 165
99 percent confidence interval:
160.3927 196.1673
sample estimates:
mean of x
178.28 6.3 Restrict to a Subsample
Do the patients with .dcoral[stage 3 & 4] cancer weigh more than 165 pounds at intake, on average?
cancer_clean %>%
dplyr::filter(stage %in% c("3", "4")) %>%
dplyr::pull(weighin) %>%
t.test(mu = 165)
One Sample t-test
data: .
t = 0.82627, df = 5, p-value = 0.4463
alternative hypothesis: true mean is not equal to 165
95 percent confidence interval:
137.0283 219.4717
sample estimates:
mean of x
178.25