Question

You wish to test the following claim (Ha) at a significance level of α=0.001.

      Ho: p1 = p2
      Ha: p1 < p2

You obtain 55.3% successes in a sample of size n1=351 from the first population. You obtain 61.4% successes in a sample of size n2=764 from the second population. For this test, you should NOT use the continuity correction, and you should use the normal distribution as an approximation for the binomial distribution.

What is the test statistic for this sample? (Report answer accurate to three decimal places.)
test statistic =

What is the p-value for this sample? (Report answer accurate to four decimal places.)
p-value =

The p-value is...

• less than (or equal to) αα
• greater than αα

This test statistic leads to a decision to...

• reject the null
• accept the null
• fail to reject the null

As such, the final conclusion is that...

• There is sufficient evidence to warrant rejection of the claim that the first population proportion is less than the second population proportion.
• There is not sufficient evidence to warrant rejection of the claim that the first population proportion is less than the second population proportion.
• The sample data support the claim that the first population proportion is less than the second population proportion.
• There is not sufficient sample evidence to support the claim that the first population proportion is less than the second population proportion.

Side note- I've paid for this question numerous amount of times so I'm hoping it will all be correct this time around. thank you

Answer 1

You obtain 55.3% successes in a sample of size n1=351 from the first population. You obtain 61.4% successes in a sample of size n2=764 from the second population.

x1 = 194 , x2 = 469

P-value = P( Z < z )

= P( Z < -1.932)

= 0.0267.......from normal prob table

P-value = 0.0267

Reject Ho if P-value < 0.001(level of significance)

Here

P-value = 0.0267 > 0.001

The p-value is greater than α

Do not reject Ho at 0.1% l.o.s.

There is not sufficient sample evidence to support the claim that the first population proportion is less than the second population proportion.