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Скачать или смотреть AIOU Business Statistics Code 1430 Assignment 2 Solution Autumn 2024 Complete Guide

  • Gaia Ocean
  • 2025-02-18
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AIOU Business Statistics Code 1430 Assignment 2 Solution Autumn 2024 Complete Guide
Gaia OceanAIOUAIOU Business StatisticsBusiness Statistics Code 1430AIOU Assignment 2AIOU Assignment SolutionAutumn 2024AIOU Business Statistics AssignmentBusiness Statistics GuideAIOU 1430AIOU Autumn 2024AIOU Assignment HelpBusiness Statistics SolutionAssignment 2 SolutionAIOU Business Statistics Code 1430 Assignment 2
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Описание к видео AIOU Business Statistics Code 1430 Assignment 2 Solution Autumn 2024 Complete Guide

Welcome to the AIOU Business Statistics Code 1430 Assignment 2 Solution for Autumn 2024 – your complete guide to solving the assignment accurately and effectively. In this video, we provide a step-by-step explanation of all the questions, ensuring that you understand the core concepts and methodologies required to ace your AIOU Business Statistics assignment.

If you are a student of Allama Iqbal Open University (AIOU) enrolled in Business Statistics (Code 1430), this video is designed to help you with Assignment 2 of the Autumn 2024 semester. We cover each question thoroughly, breaking down complex statistical problems into simple, easy-to-follow steps.

This AIOU Assignment Solution is crafted to assist you in understanding statistical formulas, data analysis techniques, and practical applications. Whether you are struggling with mean, median, mode, probability distributions, or hypothesis testing, this guide will make your learning process easier and more effective.

In this video, you will learn how to:
✅ Interpret and solve Business Statistics problems.
✅ Apply statistical methods accurately.
✅ Complete your AIOU Assignment with confidence.

Make sure to like, share, and subscribe for more AIOU assignment solutions and educational content. If you find this guide helpful, leave a comment below and let us know your feedback.

🔔 Stay tuned for future updates and more assignment solutions. Good luck with your AIOU Business Statistics assignment—let's succeed together!

00:33 Q.1(a) How hypothesis testing differ from confidence interval.
01:15 Q.1(b) From 1980 until 1985, the mean price/earnings (P/E) ratio of the approximately 1800 stocks was 14.35 and the standard deviation was 9.73. In a sample of 30 randomly chosen stocks, the mean P/E ratio in 1986 was 11.77. Does this sample present sufficient evidence to conclude that in 1986 the mean P/E ratio for stocks had changed from its earlier value at the 0.05 level of significance?
03:23 Q.2(a) Write the procedures for tests for difference between means when population variance is known and unknown.
04:14 Q.2(b) Connie Rodrigues, the Dean of students at Midstate College, is wondering about grade distributions at the school. She has heard grumblings that the GPAs in the Business School are about 0.25 lower than those in the College of Arts and Sciences (A&S). A quick random sampling produced the following GPAS.
Business 2.86 2.77 3.18 2.80 3.14 2.87 3.19 3.24 2.91 3.00 2.83
A&S 3.35 3.32 3.36 3.63 3.41 3.37 3.45 3.43 3.44 3.17 3.26
Do these data indicate there is a factual basis for the grumblings? State and test appropriate hypotheses at a = 0.02.
06:17 Q.3(a) Explain the process for testing differences between means with dependent samples.
07:07 Q.3(b) A credit-insurance organization has developed a new high-tech method of training new sales personnel. The company sampled 16 employees who were trained the original way and found average daily sales to be $688 and sample standard deviation was $32.63. They also sampled 11 employees who were trained using the new method and found average daily sales to be $706 and the sample standard deviation was $24,84. At a=0.05, can the company conclude that average daily sales have increased under the new plan?
09:09 Q.4 Cost accountants often estimate overhead based on the level of production. At the Standard Knitting Co., they have collected information on overhead expenses and units produced at different plants, and want to estimate a regression equation to predict future overhead.
Overhead 191 170 272 155 280 173 234 116 153 178
Units 40 42 53 35 56 39 48 30 37 40
(a) Develop the regression equation for the cost accountants.
(b) Predict overhead when 50 units are produced.
(c) Calculate the standard error of the estimate.
11:39 Q.5(a) Differentiate between Laspeyres, Paasche and fixed-weight aggregates methods.
12:21 Q.5(b) Write main steps in the construction of whole sale price index numbers.

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