Statictics

[login to view URL] Report Template Introduction/ Background 2. Calculate at least 2 measures of central tendency and at least 2 measures of variation for your Continuous Variable sample data. (use Excel for this task) Measures of central tendency - sample mean, sample median, sample mode Measures of variation - Range (Xmax - Xmin), Sample Variance, Sample Standard Deviation, Coefficients of Variation (CV) Shape of a Distribution & the Boxplot (Q1, Q2,Q3) Table or graph 3. Explain what your Discrete Random Variable is and what probability distribution can be used to describe it. Give some examples and interpretation of the usage of the probability distribution function and outline its business relevance. Basic probability - Marginal (Simple) Probabilities, Joint Probabilities, Conditional Probabilities Discrete Probability Distributions - Binomial Distribution, Poisson Distribution, Hypergeometric Distribution 4. You may want to include some theoretical background to the Normal (and Sampling) Distribution What is the Normal Distribution？ Why is the Normal Distribution used in Sampling Distributions? What is the basis for Inferential Statistics? Remark - need population mean & standard deviation 5. You should include: An explanation of your continuous random variable and sampling work An explanation of what a Confidence Interval or Hypothesis Test is An insight into the construction of the Confidence Interval or Hypothesis Test is Choose an appropriate confidence level (CI) or level of significance (HT) Commonly confidence level are 90%, 95% and 99% Confidence Level Population Mean - Population Standard Deviation Known (Z-table) Population Standard Deviation Unknown (t-table) Population Proportion - Use sample proportion to estimate Population proportion Known population standard deviation to determine sample size for the mean with 90,95 or 99% confidence Known population proportion to determine sample size for the proportion with 90, 95 or 99% confidence An interpretation of your Confidence Interval or Hypothesis Test results. 6. Show how Regression techniques can be used to extrapolate or interpolate values for your dependent variable. 7. Summary and Conclusion 1. Introduction/ Background (200 words) Population growth and more people are aware of the nutritional value of eggs, so the eggs increased market demand. Farm to expand business on the eggs, so buy more chickens. We will analyze the data to determine ...... .. 2. Data Collection (300 words) – Pie chart Now the farm has eight varieties of chickens, a total of 500 (population). We selected 50 for analysis. According to the ratio of the number of each breeder we were selected A only, B only, C only, ... H only (Table 1). Assuming that all chickens lay eggs every day the same number, select from chicken eggs which last ten randomly selected to form the sample (see Appedix 1) .Hen Type Quanty (Population) Percentage in Population Sample size (Table 1) by three kinds data analysis (health level chicken, egg weight, egg size) to decide what to purchase chicken. Where is Discrete Random Variables are xxx and xxx, Continuous Random Variable is xxx. 3. Data Analysis A. Health of Hens (400 words)简单描述, 决定选择A,B,C分析Binormal Probability Distribuon增加A,B,C的数量，会增加健康鸡蛋的机率 (A. Health of Hens (400 words) brief description of the decision to choose A, B, C analysis Binormal Probability Distribution increase the number of A, B, C, and will increase the chances of healthy eggs) B. Weight of eggs (400 words)Measures of central tendency & measures of variance – shown as table解释数据Con7dence IntervalShape of Distribuon – Bell shape (Kurtosis) – 有加分决定增加 B,D,F C. Size of eggs (200 – 300 words)描述Table里的数据。Basic Probability 决定选择 A,B,E 4. Recommendation (200 words)通过上述三种方法，我们发现都有B，所以选择B. 5. Conclusion (optional).