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AIOU Statistics II Code 395 Assignment 1 Solution Detailed Solution Guide

Welcome to this comprehensive guide on AIOU Statistics II Code 395 Assignment 1 Solution. If you're an Allama Iqbal Open University (AIOU) student enrolled in the Statistics II course, this video is specially designed to help you complete your first assignment with ease.

In this detailed solution guide, we break down the assignment questions step by step, providing clear explanations and examples. Whether you’re new to distance learning or looking for support in tackling complex statistical problems, this video offers practical insights to help you understand key concepts and achieve better results.

AIOU is known for its accessible and flexible education system, making quality learning resources crucial for success. This video ensures you stay on track with your coursework by addressing the important areas of the Statistics II Code 395 syllabus.

Key features of this video:

Detailed solutions to all assignment questions.
Tips and strategies for distance learners to excel in statistics.
Comprehensive explanations tailored to the AIOU Statistics II Code 395 curriculum.
Whether you're struggling with probability, data analysis, or statistical methods, this video has you covered. Don’t forget to like, share, and subscribe for more AIOU assignment solutions and academic resources.

Stay tuned for future guides on AIOU courses, and feel free to leave your feedback or questions in the comments below.

00:24 Q.1(a) Define Normal distribution and its properties.
00:38 Q.1(b) The scores of a standardized test are normally distributed with a mean of 500 and a standard deviation of 50. What percentage of students scored above 600?
01:14 Q.2(a) Distinguish between probability and non-probability sampling, giving examples.
01:42 Q.2(b) What are two broad categories of errors in data collected by sample surveys? What are the methods for reducing sampling errors?
02:03 Q.2(c) What is the finite population correction factor? When is it appropriately used in sampling application and when can it, without too great undesirable consequences, be ignored?
02:28 Q.3(a) Explain what is meant by:
i. Confidence interval ii. Confidence limits
iii. Confidence coefficient iv. Statistical estimation
02:46 Q.3(b) A car manufacturer wants to estimate the average fuel efficiency of a new model. A random sample of 50 cars from this model has been tested, and the sample mean fuel efficiency is found to be 30 miles per gallon (mpg) with a standard deviation of 3 mpg. Construct a 95% confidence interval for the true average fuel efficiency of this new model.
03:31 Q.4(a) Explain how the null hypothesis and alternative hypothesis are formulated?
04:06 Q.4(b) A researcher believes that a new drug increases the average reaction time of individuals. To test this, a sample of 50 individuals is taken, and their reaction times after taking the drug are recorded. The average reaction time in the sample is 35 milliseconds with a standard deviation of 8 milliseconds. Conduct a hypothesis test at a 1% significance level to determine if there is enough evidence to support the researcher’s claim.
05:02 Q.5(a) Describe the procedure for testing the equality of means of two normal populations for: i. Large sample ii. Small sample
05:44 Q.5(b) The heights of six randomly selected sailors are in inches: 62, 64, 67, 68, 70 and 71. Those of ten randomly selected soldiers are 62, 63, 65, 66, 69, 69, 70, 71, 72 and 73. Discuss in the light of these data that soldiers are on the average taller than sailors. Assume that the heights are normally distributed.

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