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Principles of statistics when collecting data values

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Reference no: EM13771245

Part 1:

Questions 1: Define what are the four principles of Statistics when collecting data values?

Question 2: What is the main difference between Statistics and Statistic? Please explain!

Question 3: What are the main differences between sample and population? Explain with an example to support your answers!

Question 4: At what size is a sample representative of a population and why? Please explain in detail!

Question 5:What is the main purpose of Inferential Statistics? Support your answers with an example!

Part 2:

Question 1: What are the main categories into which we can classify data values in Statistics?

Question 2: What is the main difference between qualitative and quantitative data. Please support your answer with an example!

Question 3: What are the main measures of Central Tendency in Statistics. Please explain each in detail!

Question 4: Describe a continuous variable and a discrete variable by using an example to support your answers.

Question 5: What are the main applications of a: Histogram, an Ogive, and Stem and Leaf. Please explain in detail!

Part 3:

Question 1: Please defined what are the measures of Central Tendency?

Question 2: Explain what are the differences among Mean, Median and Mode? Use a numerical example to support your answers.

Question 3: What is the Empirical Rule and when we use it?

Question 4: What is the Chebyshev's Theorem and when we use it? Also, explain the meaning of skewness in a distribution?

Question 5: How many quartiles we have in a Normal Distribution? How many deciles we have? How many percentiles we have? Briefly explain what is the Interquartile Range and support your answers with a numerical example!

Part 4:

Question 1: What is the main objective of the Theory of Probability in Statistics?

Question 2: Please define a Sample Space

Question 3: Define the range of probabilities of any events in our daily life.

Question 4: Define the Addition Rule and the Multiplication Rule and support your answers with valid numerical examples.

Question 5: Define Mutually Exclusive Events versus Independent Events. Support your answers with valid examples!

Part 5:

Question 1: What are the differences between Discrete and Continuous Random Variables?

Question 2: What is a Binomial Disbribution?

Question 3: What is a Poisson Distribution?

Question 4: How can we identify a Poisson Distribution?

Question 5: Please explain degrees of freedom with some valid examples!

Part 6:

Question 1: Please define a Z-Score?

Question 2: What are the main differences between a Z-Socre and an X-Probability? What are their correlations?

Question 3: In a Bell-Shaped Distribution what is the main purpose of a Z-Score? Please provide an example to support your answers.

Question 4: Please explain degrees of freedom?

Question 5: Please provide an example of a probability equal to one, and a probability equal to zero. Why a probability can't be negartive? Explain in detail to support your answers.

Verified Expert

Various questions have been answered relating to the concepts of statistics. Some of the concepts includes, principles of Statistics, difference between Statistics and Statistic, differences between sample and population, purpose of Inferential Statistics, difference between qualitative and quantitative data, measures of Central Tendency, Chebyshev 39s Theorem, Sample Space, Binomial Distribution, Poisson Distribution, etc

Reference no: EM13771245

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