Variability‚ Skewness and Kurtosis | Ungrouped Data: VARIABILITY | | Meaning | Lesson | | Formula | Legend | Meaning | NOTE: | VARIABILITY(Four measures of Variability) | Measures of the average distance of each observation from the center of the distribution. | Range(R) | | R=Hv-Lv | Hv- Highest valueLv- Lowest value | Difference between hv and lv in data set. | | | | Variance | population (δ2) | =∑(x-x)2N | x – classmarkx –meanN - population | Average squared deviation from the mean. |
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using the standard deviation‚ range‚ interquartile range‚ as appropriate. 4. (ii) Summarise a set of data using a table or frequency distribution‚ and display it graphically using a line plot‚ a box plot‚ a bar chart‚ histogram‚ stem and leaf plot‚ or other appropriate elementary device. Explain what is meant by symmetry and skewness for the distribution of a set of data. Explain the concepts of probability. 1. 2. Define probability as a set function on a collection of events‚ stating
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Preparing to Conduct Business Research: Part 3 RES/351 Feasibility of Non Bulk Items at Costco – Part 1 Costco is the greatest wholesale mega store in today’s market opening its first store in 1983 in Seattle‚ Washington. Its mission statement is "Costco ’s mission is to continually provide our members with quality goods and services at the lowest possible prices. In order to achieve our mission we will conduct our business with the following Code of Ethics in mind: Obey the law‚ Take care
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generate. 1. Continuous distributions: Generate and store in column c1 10‚000 values from the uniform distribution on the interval [3‚7] as follows: random 10000 c1; uniform 3 7. [3] a. Use mean command to find the sample mean x of these data 4.996 ¯ [2] b. What is the mean µ of the uniform distribution on the interval [3‚7]? 5 [1] c. Compare µ to the value x you found in part a). very close ¯ Generate and store in column c2 1‚000 values from exponential distribution with parameter λ = .125
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receives two free throws. The opposing coach believes there is a 36% chance that the player will miss both shots‚ a 14% chance that he will make one of the shots‚ and a 50% chance that he will make both shots. a. Construct the appropriate probability distribution. (Round your answers to 2 decimal places.) x P(X = x) 0 1 2 b. What is the probability that he makes no more than one of the shots? (Round your answer to 2 decimal places.) P( no more than one shot) = P(X=0)+P(X=1) = 0.36+0
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____ 1. The pie chart describes the distribution of state tree types for the 50 states in the United States. The category “Other” include all trees that are the state tree for two or fewer states. Which of the following conclusions can we draw from this chart? a. Some states have not designated a “state tree.” b. The cottonwood is the state tree for 12 states. c. Taken together‚ oak‚ pine‚ and maple are the state trees for more than half the states. d. There are 10 states that have designated
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LOM 5300 Statistical Analysis for Business Decisions Multiple Choice Questions Chapter 1 1. In a questionnaire‚ respondents are asked to mark their gender as male or female. Gender is an example of the a. ordinal scale. b. nominal scale. c. ratio scale. d. interval scale. ANS: b 2. The scale of measurement that is used to rank order the observation for a variable is called the a. ratio scale. b. ordinal scale. c. nominal scale. d. interval scale. ANS: b 3. Some hotels ask their guests to
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CBET 17-203P Reported By: Leader Devindez E. Delos Santos Members Anna Lyn P. Jaime Parametric and Non-Parametric Test Topics I. Introduction II. Summary of the major points and how they might affect statistical analysis III. What is the Parametric and Non- Parametric Tests? A. Parametric a. Definition b. Parametric Assumption B. Non-Parametric a. Definition b. Non Parametric Assumption c. Two Different Meaning of Parametric Test
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confident the proportion is in this interval… if the sample mean or proportion is in the confidence interval the null hypothesis could be inferred. Else‚ the alternative hypothesis would. • What is the predictable distribution for proportions? Why? “Proportions follow a normal distribution provided: n·p ≥ 5 and n·(1– p) ≥ 5 ( Rule of 5 ) Thus the test statistic that we use is: • Can 1000 people represent 2 million? Why? Yes‚ depends how confident you want to be… to be +or- 1% (95% confident)
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What proportion of a normal distribution is located in the tail beyond z = +2.00? 0.0228 What proportion of a normal distribution is located between the mean and z = 1.40? 0.4192 The Z-score corresponding to the 52nd percentile is .05 A normally distributed variable has a mean of 10 and a standard deviation of 2. The probability that a value between 7 and 9 is obtained is .2417 An accelerated life test on a large number of type-D alkaline batteries revealed that the mean life for a particular use
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