Difference between Depreciation by Straight Line Method and Depreciation by Reducing Balance Method 6 2.0 The Difference 6 Question 3 - Standard Deviation and Quartile Deviation 7 Standard Deviation 7 Quartile Deviation 8 3.0 Purpose of Calculating Standard Deviation and Quartile Deviation 8 3.1 Calculation of Standard Deviation and Quartile Deviation 8 Reference 9 Question 1 – Difference between Simple Interest and Compound Interest To know the difference between simple and compound interest
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Exercise 16: Mean and Standard Deviation 1. The null hypothesis would be: There is no difference in levels of empowerment‚ self-care and efficacy‚ or depression in patients with end stage renal disease that have attended an empowerment program. 2. The average baseline depression score in the experimental group was 14.00. This value is pulled from the Mean Column 3. The baseline number for the self-care and efficacy patients was 89.56‚ where posttest numbers are 96.00. This should
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4 9 8 2 A) Compute the first quartile the third quartile and the interquartile range. Rank: 2 4 7 8 9 First quartile = 2+4 / 2 = 3 Third quartile = 8+9 / 2 = 8.5 Interquartile range = third quartile – first quartile = 8.5 – 3 = 5.5 B) List the five-number summary. 1) X smallest 2) Q1 3) Median 4) Q3 5) X largest 2 3 7 8.5 9 3. A) Compute the mean‚ median‚ first quartile‚ and third quartile. Order Array: 5.25 5.29 5.32 5.32
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University of Southern California Department of Economics ECON 317 Introduction to Statistics for Economists Prof. Safarzadeh Assignment # 2 Student Name: ________________ Answer all the questions on the spaces provided. Underline your answers and show your calculations and work on the tables. Item |Speed |Mileage | | |X - X |(X- X)2 |(Y-Y) |(Y-Y)2 |(X-X)(Y-Y) | | | |1 | 30 | 25 | | | | | | | | | | |2 | 50 | 20 | | | | | | | | | | |3 | 35 | 23 | | | | | | | | | | |4 | 45 | 21 | |
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TCO D) PuttingPeople2Work has a growing business placing out-of-work MBAs. They claim they can place a client in a job in their field in less than 36 weeks. You are given the following data from a sample. Sample size: 100 Population standard deviation: 5 Sample mean: 34.2 Formulate a hypothesis test to evaluate the claim. (Points : 10) Ho: µ = 36; Ha: µ ≠ 36 Ho: µ ≥ 36; Ha: µ < 36 Ho: µ ≤ 34.2; Ha: µ > 34.2 Ho: µ > 36; Ha: µ ≤ 36 Ans. b. H0 must always have equal sign‚ <
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standard limits. Homemade brews and the raw materials used had significantly higher nitrite differences (p 1.04 Q 2 --> 1.41 Q 3 --> 10.1 Interquartile Range (IQR) Sum of Squares Mean Absolute Deviation: Root Mean Square (RMS): Std Error of Mean: Skewness Kurtosis: Coefficient of Variation: Relative Standard Deviation: 9.06 591.3 4.008 6.055 0.8244 0.7899 1.786 1.097 109.7%
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relatively less sensitive to outliers. Quartiles and Percentiles‚ including the Median Percentile values divide the data (arranged in ascending order) into 100 equal parts. They are a measure of relative standing. P% of the data is less than the pth percentile‚ and (100 – p)% of the data is greater than the pth percentile. BES PASS S1 10 1 Omkar & Yaying Wednesday 5-6pm L= The median is the 50th percentile p x (n + 1) 100 The inter-quartile range is the difference between
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Exam 1 Chapter 1 * In statistics the group we wish to study is called the population * A sample is a subset of the population which is used to gain insight about the population. Samples are used to represent a larger group‚ the population. * • Descriptive statistics – the collection‚ organization‚ analysis‚ and presentation of data. * Inferential statistics – uses descriptive statistics to estimate population parameters; an educated guess about the population based on sample
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42.7618 Median 350 Mode 350 Standard Deviation 113.1371 Sample Variance 12800 Kurtosis -1.4478 Skewness 0.178848 Range 290 Minimum 240 Maximum 530 Sum 2660 Count 7 First quartile position: (n+1)/4 = 2. First quartile is 260. It means that 25% of ice coffees in the sample that have calories lower or equal to 260 and 75% of ice coffees that have calories higher or equal to 260. Third quartile position: 3(n+1)/4 = 6. Third quartile is 510. It means that 75% of ice coffees in
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measurements. Section 7.1 Turning Data into Information Four kinds of useful information about a set of data: center‚ variability‚ shape and outlier Types of center: mean‚ median and mode (and their definitions) Types of variability: range‚ standard deviation and IQR (and their definitions) Types of shape: symmetric‚ skew to the left‚ skew to the right‚ unimodal and bimodal (and their definitions) Definition of outlier (unusual values): Section 7.2 Picturing Data Stem-and-leaf plot and how to make
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