The two basic tools used in making statistical inferences are confidence intervals and hypothesis tests. Confidence intervals provide a range of values that likely contain the population parameter, allowing researchers to estimate uncertainty. Hypothesis tests, on the other hand, evaluate the evidence against a null hypothesis to determine if there is enough statistical support for an alternative hypothesis. Together, these tools help in drawing conclusions about a population based on sample data.
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