Docsity
Docsity

Prepare for your exams
Prepare for your exams

Study with the several resources on Docsity


Earn points to download
Earn points to download

Earn points by helping other students or get them with a premium plan


Guidelines and tips
Guidelines and tips

Hypothesis Testing and t-distribution in Excel: Statistical Inference - Prof. Douglas L. M, Assignments of Economics

Practice questions on hypothesis testing and t-distribution using excel. It includes two-sided, upper one-sided, and lower one-sided tests for a population mean, using the t-distribution functions tdist and tinv in excel. The questions are from prof. Miller's fall 2008 ecn 102 problem set and use the 'a-kids-2007.xls' data set for poverty status.

Typology: Assignments

Pre 2010

Uploaded on 07/30/2009

koofers-user-at9
koofers-user-at9 šŸ‡ŗšŸ‡ø

10 documents

1 / 4

Toggle sidebar

Related documents


Partial preview of the text

Download Hypothesis Testing and t-distribution in Excel: Statistical Inference - Prof. Douglas L. M and more Assignments Economics in PDF only on Docsity! - 1 - The questions are from the problem set of the Prof. Miller(Fall 2008, ECN 102). The t-distribution in Excel Use the Excel functions TDIST and TINV to answer the following questions. For each question, assume that the sample size or number of observations, n, is equal to 16. (Use n to determine the appropriate number of degrees of freedom.) a. Pr[T >1.6] =TDIST(abs(1.6), 16-1, 1) b. Pr[T < āˆ’2.0 or T > 2.0] =TDIST(abs(2.0), 16-1, 2) c. t* such that Pr[T > t *]= 0.05 t* = TINV(0.05*2, 16-1) d. t* such that Pr[T < āˆ’t * or T > t *]= 0.05 t* = TINV(0.05, 16-1) Exercise e. t* such that Pr[T > t *]= 0.01 t* = TINV( , ) f. t* such that Pr[T < āˆ’.t * or T > t *]= 0.01 t* = TINV( , ) - 2 - Statistical Inference: Hypothesis Tests (For this question, use the data set the data set ā€œA-kids-2007.xls) Question 1. You will analyze the variable "Poverty Status". a. Two-sided test Test the null hypothesis that the population mean poverty rate is 20% (ī€‡ī€½: Ī¼ = .20) against the alternative that the population mean is not equal to 20% ( ī€‡īƒ„: Ī¼ ā‰  .20). Perform the test at a significance level of 0.10, use the p-value approach to reach your conclusion. Clearly state and interpret your conclusion. 1Ā  FormĀ  theĀ  hypothesis:Ā  H0:ī‚ØĀ  =Ā  0.2Ā  v.s.Ā  Ha:ī‚Ø ī‡ī”Ā  0.2 2Ā  FormĀ  theĀ  testĀ  statistic: xbarĀ  0.190711462 s/āˆšnĀ  0.007131169 tā€statisticĀ  ā€1.30252658 3Ā  CalcuateĀ  theĀ  pā€valueĀ  forĀ  aĀ  twoā€sidedĀ  test: degreesĀ  ofĀ  freedomĀ  (df)Ā  3035 pā€valueĀ  =Ā  TDIST(abs(ā€1.3),3035,2)Ā  =Ā  0.192835263 4Ā  ConclusionĀ  andĀ  interpretation SinceĀ  pā€nvalue>0.1,Ā  weĀ  failĀ  toĀ  rejectĀ  theĀ  nullĀ  hypothesisĀ  ofĀ  mu=0.20Ā  atĀ  theĀ  0.1Ā  levelĀ  ofĀ  significance.Ā  TheĀ  dataĀ  areĀ  consistentĀ  withĀ  theĀ  trueĀ  populationĀ  povertyĀ  rateĀ  beingĀ  20%.Ā  WeĀ  thusĀ  concludeĀ  thatĀ  itĀ  isĀ  possibleĀ  thatĀ  theĀ  trueĀ  povertyĀ  rateĀ  isĀ  20%.
Docsity logo



Copyright Ā© 2024 Ladybird Srl - Via Leonardo da Vinci 16, 10126, Torino, Italy - VAT 10816460017 - All rights reserved