Which of these statements about alpha is true? (Choose all that apply) 1. Alpha is the probability of a Type 1 error

2. A high alpha proves that the alternative hypothesis is true.

3. 0.10,0.05, and 1.00 are all possible values of alpha.

4.When the p-value is smaller than the alpha, we reject the null hypothesis.

you cant answer this dummy

step-by-step explanation:

answer: im sorry i dont get it

step-by-step explanation:

should have been evaluated with one odd value and one even value. the expressions have equivalent values when . when , the first expression has a value of 3 and the second

step-by-step explanation:

in 2010, the population of the state of california is 37.29 × 10⁶

step-by-step explanation:

population of los angeles = 3.79 × 10⁶

population of california = 9.84 × population of los angeles

                                        = 9.84 × 3.79 × 10⁶

                                        = 37.2936 × 10⁶

                                        = 37.29 × 10⁶

∴ in 2010, the population of the state of california is 37.29 × 10⁶