IOP2601 Assignment 3 (COMPLETE ANSWERS) Semester 1 2024 - [DUE: 2 MAY 2024 @23:00]. 100% TRUSTED & QUALITY SOLUTIONS. . {Review 2 pages now} It includes detailed answers, guidelines and calculations. The answers also include references to pages in the textbook and study guide. Feel free to DM or em...
IOP2601 Assignment 4 (COMPLETE ANSWERS) Semester 2 2024 - DUE 22 October 2024
IOP2601 Assignment 4 (COMPLETE ANSWERS) Semester 2 2024 - DUE 22 October 2024; 100% TRUSTED Complete, trusted solutions and explanations.
IOP2601 Assignment 4 (COMPLETE ANSWERS) Semester 2 2024 - DUE 22 October 2024; 100% TRUSTED Complete, trusted solutions and explanations.
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University of South Africa (Unisa)
Organisational Research Methodology (IOP2601)
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By: zwaneinnocentia030 • 7 months ago
By: PrettyStandard • 7 months ago
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By: YandisaNkomo • 7 months ago
nice setup, clear and concise calculations
By: GuguNzimande • 7 months ago
By: PrettyStandard • 7 months ago
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By: sethashange • 7 months ago
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By: TinaVanHelden • 7 months ago
Very helpful, especially the page numbers as well.
By: PrettyStandard • 7 months ago
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By: PrettyStandard • 7 months ago
A fake negative review won't increase sales on your own document. However, thank you for the review, my document includes complete solutions, calculations and page numbers to ensure clarity. Please let me know where l can assist you.
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2024
IOP2601 Assessment 03 Complete Answers
Due: 2 May 2024 @ 23:00
Semester 1/ 2024
Organisational Research Methodology
, QUESTION ANSWERS
NUMBER
QUESTION 1
1.1. For this module, the level of significance is always given as 0,005.
(a) False- We usually we work with a 5% and/or 1% level of significance which translates to
0,05 or 0,01.
P.G. 119 Study Guide
(b) A Type I error is made by rejecting the null hypothesis when it is in fact true.
True- There are two types of errors, Type 1 and Type 2. A Type I error means rejecting a
null hypothesis when it is true. A Type II error means not rejecting a null hypothesis when
it is false.
P.G. 119 Study Guide
(c) If you get a negative value for the F-test, this means the test statistic falls inside the
rejection area.
False- We never observe negative F-values.
P.G. 299 Textbook
Next Page…
Complete answers with page references for the assessment 03 are in this document.
From Question 1 up to 5. Total [50 marks]
Page 1 of 10
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