[A, SfS] Chapter 6: Hypothesis Testing: 6.8: Tests & Confidence Intervals in R
Hypothesis Tests and Confidence Intervals in R
Copy the following data vectors into #\mathrm{R}#:
X = c(56.93,61.43,62.88,56.77,55.13,56.71,56.20,59.78,58.42,55.52,56.34,51.71,48.67,55.92,51.93)
Y = c(50.14,50.53,58.93,48.20,58.51,53.95,52.88,56.71,58.81,58.84,49.87,49.45,54.08,55.08,53.30,52.34,52.91,53.86)
Use the #\mathtt{t.test()}# function in #\mathrm{R}# to assess the hypothesis test of #H_0 : \mu_X = 53# against #H_1 : \mu_X \neq 53# where #\mu_X# is the population mean of the variable represented by the measurements found in data vector #X#.
Report the P-value of the test, using #4# decimal places.
| #P=# | (#4# decimals) |
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