886 randomly sampled teens were asked which of several personal items of information they thought it okay to share with someone they had just met. 44% said it was okay to share their e-mail addresses, but only 29% said they would give out their cell phone numbers. A researcher claims that a 2-proportion z-test could tell whether there was a real difference among all teens. Explain why that test would not be appropriate for these data.

 Test statistic

The Calculated value Z =6.5217 > 1.96 at 5% level of significance

Null hypothesis is rejected

There is real difference among all teens

Step-by-step explanation:

Step(i):-

Given large sample size 'n' = 886

first sample proportion p⁻₁ = 44% =0.44

Second sample proportion p⁻₂ = 29% =0.29

Null hypothesis:H₀:There is no significant difference between two proportions

Alternative Hypothesis:H₁: There is significant difference between two proportions

Level of significance ∝ = 0.95 or 95%

Step(ii):-

Test statistic

Where    'p'

p =   0.365

q = 1-p =1-0.365 =0.635

The Calculated value Z =6.5217 > 1.96 at 5% level of significance

Conclusion:-

Null hypothesis is rejected

There is real difference among all teens

1,8,15,22,29,36,43,50

step-by-step explanation:

the first one is x^2+2x+2

the second one is x^2+4

the last one is x^2-4x+8