1 proportion significance test

What is the parameter?

• p is the true proportion of elementary students who want a career helping others

• n is 128 children

• p is the mean number of children asked

• Fail to Reject the Ho

What is the null hypothesis

• H_o: p = .39

• H_o: p < .39

• H_o: p > .39

• H_o: p ≠ .39

What is the alternative hypothesis?

• H_o: p = .39

• H_o: p < .39

• H_o: p > .39

• H_o: p ≠ .39

Explain why the sample result gives some evidence to support the H_a: p > 0.39.

• because 317 children were asked

• because n(p) > 10

• because the sample proportion is higher than 0.39.

• because it was 3 years later.

CHECK ALL the appropriate conditions for inference.

• Normal since $317\left(.404\right)>10$   and $317\left(1-.404\right)>10\$  

• Representative sample since random selection

• Independent since  $10\left(317\right)<$  all elementary children

• Unbiased since children can't be biased

What is the correct test statistic here?

• z-score

• t-score

• sample proportion

• sample mean

the z-score is closest to: (you can use 1PropZtest or the z-score equation by hand) 

•  $-.503$  

•  $.503$  

•  $.404$  

•  $2.48$  

Recall our Ha : $p>.39$ , so the area of the normal curve that would be shaded is

• above 0.39

• below 0.39

• above 0.503

• below 0.503

The p-value is

• 0.307

• 0.615

• .05

• .404

At a .05 significance level, what decision is made regarding the H_o?