Now read the following data into R. Use R for all statistical procedures. Sample Sample AB 0.7969 1.4731 1.2669 3.2137 1.5856 2.2486 0.4959 1.1156 0.5022 10.6207 0.5524 1.9835 10.3060 31.2243 0.6244 3.7984 1.9789 1.4710 1.6788 9.0351 (a) Make q-q plots of both samples. (c) Perform an MWU test. (e) What is a “better” p-value? Why? (b) Perform a t-test (Welch's test). (d) Which test gave you the better p-value now? Why?

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2) Now read the following data into R. Use R for all statistical procedures. Sample Sample

AB

0.7969 1.4731 1.2669 3.2137 1.5856 2.2486 0.4959 1.1156 0.5022 10.6207 0.5524 1.9835

10.3060 31.2243 0.6244 3.7984 1.9789 1.4710 1.6788 9.0351

(a) Make q-q plots of both samples.

(c) Perform an MWU test.

(e) What is a “better” p-value? Why?

(b) Perform a t-test (Welch's test).

(d) Which test gave you the better p-value now? Why?

 

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