Answer:
P [ X ≤ 9.8 ] = 0.1335
Step-by-step explanation:
P [ X ≤ 9.8 ] = [ ( 9.8 - 10.2 )/1.8√25 ]
P [ X ≤ 9.8 ] = - 0.4*5/1.8
P [ X ≤ 9.8 ] = - 2 / 1.8
P [ X ≤ 9.8 ] = - 1.11
From z- table we get: α = 0.1335
P [ X ≤ 9.8 ] = 0.1335 or P [ X ≤ 9.8 ] = 0.1335
12 is the correct answer.
Answer: 6
Step-by-step explanation:
take 8-2 =6
Answer:
c) Statistically significant results that are the opposite to what was hypothesized are likely the result of a Type II error.
Step-by-step explanation:
Which statement is true?
statistically significant results are results of a null hypothesis that is true. while
Type 2 error is the error that occur when one fails to reject a null hypothesis that is wrong.
therefore, Statistically significant results that are the opposite to what was hypothesized, is a type 2 error, because it is false.
c) Statistically significant results that are the opposite to what was hypothesized are likely the result of a Type II error.
