stat 10 hw

stat 10 hw - Stat 101-002 Heller Cengiz Rahmioglu Penn ID...

Info iconThis preview shows pages 1–2. Sign up to view the full content.

View Full Document Right Arrow Icon
Stat 101-002          Cengiz  Rahmioglu Heller          Penn ID:  37479511 STAT 101 HW 1.  (a) Population Parameter, p, represents the proportion of electronic components that work  correctly. Null Hypothesis: More than 99.9% of the cellular phones work correctly. Alternative Hypothesis: Less than 99.9% of the cellular phones work correctly. (b) Type I error: Rejecting the null hypothesis when it’s true. In other words, accepting that less  than 99.9% of the cellular phones work correctly by rejecting the null hypothesis. Type II error: Failing to reject the null hypothesis when it’s false. In other words, accepting that  more than 99.9% of the cellular phones work correctly when in reality the null hypothesis is  false.  (c) In order to use the z-test, np 0 >10 and n(1-p 0 )>10 should be satisfied. In this case, as n=100  and p 0 =.99 we can’t use the z-test.  (d) SE(xbar)= √0.999(1-0.999)/100= 0.003 z=(1-0.999)/0.003=0.333 p-value=P(Z<z)= .63 Assumptions: SRS, IID variable.    (e) The data doesn’t reject the null hypothesis because p-value>0.05. 2. (a) H 0 =Less than 30% of the customers are able to program their DVD player with the new  manual. H
Background image of page 1

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
Image of page 2
This is the end of the preview. Sign up to access the rest of the document.

This note was uploaded on 06/22/2008 for the course STAT 101 taught by Professor Heller during the Fall '08 term at UPenn.

Page1 / 3

stat 10 hw - Stat 101-002 Heller Cengiz Rahmioglu Penn ID...

This preview shows document pages 1 - 2. Sign up to view the full document.

View Full Document Right Arrow Icon
Ask a homework question - tutors are online