A doctor keeps track of the number of babies she delivers in each season. She expects that the distribution will be uniform (the same number of babies in each season). The data she collects is shown in the table below. She conducts a chi-square Goodness-of-Fit hypothesis test at the 5% significance level. Season Spr Summ Fall Wint Expected 31 31 31 31 Observed 24 28 22 50 (a) The null and alternative hypotheses are: • Ho: The seasonal births have the uniform distribution. • Ha: The seasonal births do not have the uniform distribution. (b) Compute the test statistic, rounded to three decimal places.

A doctor keeps track of the number of babies she delivers in each season. She expects that the distribution will be uniform (the same number of babies in each season). The data she collects is shown in the table below. She conducts a chi-square Goodness-of-Fit hypothesis test at the 5% significance level. Season Spr Summ Fall Wint Expected 31 31 31 31 Observed 24 28 22 50 (a) The null and alternative hypotheses are: • Ho: The seasonal births have the uniform distribution. • Ha: The seasonal births do not have the uniform distribution. (b) Compute the test statistic, rounded to three decimal places.

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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