If we wish to test whether Platform 1 is indeed better than Platform 2 for learning vocabulary, what hypotheses should we use?
One measure of knowledge of a language is the size of someone's vocabulary. Certain digital language learning platforms focus heavily on building vocabulary. Suppose we consider two such learning platforms, Platform 1 and Platform 2, and compare their ability to improve vocabulary. Platform 1 markets itself as the best program for learning vocabulary, whereas Platform 2 markets itself as more a rounded program for learning language. Random samples of user data were taken from the two platforms.
If we wish to test whether Platform 1 is indeed better than Platform 2 for learning vocabulary, what hypotheses should we use?
a. H0:μ1=μ2, H_1: \mu_1 < \mu_2H1:μ1<μ2
b. H0:μ1=μ2, H_1: \mu_1 > \mu_2H1:μ1>μ2
c. H0:μ1=μ2, H_1: \mu_1 \ne \mu_2H1:μ1=μ2
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