Question: H 0 : p = 0.5 H A : p < 0.5 Suppose you somehow find out that the actual proportion of males for the

H0: p = 0.5

HA: p < 0.5

Suppose you somehow find out that the actual proportion of males for the entire database population is 50%.Looking back at your test

Hypothesis test results:

Variable: Gender

Count: 96

Total: 200

Sample Prop: 0.48

Std. Err: 0.035355339

Z-Stat: -1.56568542

P-value: 0.2858

What was the result of your test a correct decision, a Type I error, or a Type II error.Explain.

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