One sample proportion hypothesis test:

Outcomes in : Gender

Success : M

p : Proportion of successes

H₀: p = 0.5

H_A: p < 0.5

Hypothesis test results:

Variable

Count

Total

Sample Prop.

Std. Err.

Z-Stat

P-value

Gender

96

200

0.48

0.035355339

-0.56568542

0.2858

Suppose you somehow find out that the actual proportion of males for the entire database population is 48 %.Looking back at your test from question 4, was the result of your test a correct decision, a Type I error, or a Type II error. Explain