One Sample Mean Hypothesis Test

t.test(x = _DATANAME_$_VARIABLE_, mu = _HYPOTHESIZED MEAN_, alternative = "_ALTERNATIVE HYPOTHESIS_")

Frequency Table

tbl_1var(_DATANAME_, ~_VARIABLE_)

One Sample Proportion Hypothesis Test

prop.test(x = _NUMBER OF SUCCESSES_, n = _SAMPLE SIZE_, p = _HYPOTHESIZED PROPORTION_, alternative = "ALTERNATIVE_ HYPOTHESIS")

Independent \(\mathrm{T}\)-Test

infer_2mean_test(_DATANAME_, _VARIABLE_~_GROUPVARIABLE_)

Paired \(\mathrm{T}\)-Test and Confidence Interval

Note: Confidence levels default to 95% but can be overridden with conf_lvl = _DECIMAL_ (e.g., conf_lvl = 0.90).

infer_paired(_DATANAME_, var1 = ~_VARIABLE1_, var2 = ~_VARIABLE2_, conf_lvl = _CONFIDENCELEVEL_)

Basic Numerical Summaries By Group

tbl_num_sum(_DATANAME_, _RESPONSE_~_GROUPVARIABLE_, na_rm = TRUE)

ANOVA

infer_anova(_DATANAME_, _VARIABLE_~_GROUPVARIABLE_)