The difference between setting alpha equal to 0.05 and alpha equal to 0.01 in hypothesis testing is: Group of answer choices With alpha equal to 0.05, one is less willing to risk either type I or type II error With alpha equal to 0.05, one is more willing to risk a type II error Alpha equal to 0.05 is a more conservative test of the null hypothesis With alpha equal to 0.05, one is more willing to risk a type I error

ok

step-by-step explanation:

2.2°  

step-by-step explanation:

let θ = the angle of elevation.

tanθ =77/2020

tanθ = 0.038 12

      θ = tan⁻¹0.038 12

      θ = 2.2°

on monday rodney ate 1/4th of the sandwich = 3/12

on tuesday he ate 1/3rd of the sandwich = 4/12

therefore in total he has eaten = 3/12 + 4/12 = 7/12

thus we can say that he has eaten 7/12 of the sandwich on monday and tuesday alltogether.

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