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# The sampling distribution is numbers that used to

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The sampling distribution is numbers that used to measure large values which cut off from the population used to compute the distribution of the random sample statistic (Yakir, 2011) b) What is the Law of Large Numbers represented the average of the sampling distribution (mean ) and deal with a large number (Yakir, 2011) 3) Describe in your own words (do not directly quote any source) the difference between the distribution of a sample and the sampling distribution. Use an example in which the original population has a binomial distribution. You will probably use concepts from the book or another source, so be sure to cite any thoughts that come from such sources (even if you paraphrase). Distribution of sample is a part of the population, and it’s a stimulation value, so to compute the sample distribution we must find the mean and the stander deviation For example, we want to find the for the average weight for the student from a 2000 person While the sampling distribution compute a large no of population is to find the value of many samples and its represent the sample statistic and we need to find the expectation (mean ) and the variance for example if we

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want to do a 10 survey over 50 people to find out the genders of each one so we will conduct this survey over 500 person total (Yakir, 2011) Reference Yakir, B. (2011). Introduction to Statistical Thinking (With R, Without Calculus). Retrieved from at.pdf Studying statistic its compelling and need too much concentration, therefore during this course I have learned many essential concepts,that increase my acknowledge in math in all and the statistic in specific .in this course I studied the introduction, and I knew many new critical terms in statistic such population and sample. Hence all the chapters have their contexts and different information. I recognized how to install the R program and inter the statistic function on it.I think the easiest part was in chapter 3 and four which were about the random variables and probability .this section was easy and straightforward there weren’t any complicated notions I was able to find some additional reference from the YouTube to understand it very well. The toughest parts were in the chapters 6,7,8. I learned new complicated terms such as central limited thermos and the law of large numbers. I spent many hours to study, write down specific notes, and practice examples. according to my experience, to reach the superiority in this course, you must identify a particular goal and follow a plan to achieve good results My advice to anyone wanted to apply to this course is to have a special notebook for this subject, and have a schedule to regulate his time. Likewise reading the book chapter and write down all the notes, concepts the student has learned to make sure that most of the ideas will not lose. Statistic course was very challenging, I have dared myself each time to solve the discussion or assignments homework’s, and I have challenged myself to pass this course Thanks for your instructor Jeremy Reference
Reference: Yakir, B. (2011). Introduction to Statistical Thinking (With R, Without Calculus). Retrieved from at.pdf
• Fall '19
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• Yakir

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