According to a Pew Research Center study, in May 2011, 33% of all American adults had asmart phone (one which the user can use to read email and surf the Internet). Acommunications professor at a university believes this percentage is higher among communitycollege students. She selects 323 community college students at random and finds that 134 ofthem have a smart phone. In testing the hypotheses:Ho: p= 0.33 versusHa: p > 0.33Do the hypothesis test. Use a level of significance of a = 0.05;Use the unrounded values in Excel to find the answers for #3 and #4.1. This is an example of ahypothesis test.2. Find the standard error.3. Find the z value. --

Given,To find the type of test, standard error, and calculate the z value.

Answered: 1. This is an example of a 2. Find the…

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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Hypothesis Test of the Difference Between Two PAIRED Means. Im pretty sure this should be a one tailed test, as does my teacher does an example for this and her's had one tail. Help me understand which tail it is (what lead you to believe it was right or left tail.) I will need the test statistic and critical value(s). You will need the null and alternative (H0: u1=u2, H1: u1=/=u2). The equation that is needed to solve this is t= d *bar* - Ud / (Sd/*square root* of n) D.O.F formula to be used is n-1. This is all the infomartion I think you need might need to determine the kind of problem this is. I've asked this question before but it seems I didn't provide enough information and the answers included two tailed test or something else. Oh also I need these formulas to be used, as in no excel to speed things up because as much as i like shortcuts I need to understand this concept. Standard dev or Sx should be 1.414213562. Pretty sure this is right, not 100%. d *bar* should = -2, pretty…
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1. This is an example of a 2. Find the standard error. 3. Find the z value. -- hypothesis test.