[Q5: Only answer if you ABSOLUTELY know how to solve AND the answers match up ((

Question

[Q5: Only answer if you ABSOLUTELY know how to solve AND the answers match up ((tired of getting wrong replies.) So, please make sure you’re really certain. [It’s appreciated.])

Really Explain EACH STEP, including any formulas you used (& how to use the formula), and explain how to compute with a TI-84 preferably/when possible.]

NO JUST POSTING THE ANSWER WITH NO EXPLANATION/ NO CONVINCING EXPLANATION, I WILL ASSUME IT'S WRONG, AS HAS BEEN THE CASE BEFORE. IF YOU'RE THIS TYPE, MOVE ON.

Your friend tells you that the proportion of active Major League Baseball players who have a batting average greater than .300 is different from 0.75, a claim you would like to test. If you conduct a hypothesis test, what will the null and alternative hypotheses be?

Question 5 options:

1)

HO: p 0.75
HA: p > 0.75

2)

HO: p 0.75
HA: p < 0.75

3)

HO: p > 0.75
HA: p 0.75

4)

HO: p 0.75
HA: p = 0.75

5)

HO: p = 0.75
HA: p 0.75

1)

HO: p 0.75
HA: p > 0.75

2)

HO: p 0.75
HA: p < 0.75

3)

HO: p > 0.75
HA: p 0.75

4)

HO: p 0.75
HA: p = 0.75

5)

HO: p = 0.75
HA: p 0.75

Explanation / Answer

A null hypothesis is a hypothesis that says there is no statistical significance between the two variables. It is usually the hypothesis a researcher or experimenter will try to disprove or discredit. Analternative hypothesis is one that states there is a statistically significant relationship between two variables.

So,

answer is

HO: p = 0.75
HA: p 0.75

5th option

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