www.ignousolvedassignments.com ASSIGNMENT Course Code : MS - 8 Course Title : Quantitative Analysis for Managerial Applications Assignment Code : MS-8/SEM - II /2013 Coverage : All Blocks Note: Attempt all the questions and submit this assignment on or before 31st October‚ 2013 to the coordinator of your study centre. “Statistical unit is necessary not only for the collection of data‚ but also for the interpretation and presentation”. Explain the statement
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closely compared to TT Air (1.6602). • Since to the Standard Deviation for AA Fly is closer‚ the variance for AA Fly (1.557) as compared to TT Air (2.756) shows clearly the dispersion rate of both variables. In conclusion‚ this could mean that TT Air has maximized their usage of aircrafts and is more efficient than AA Fly. [Com: Good work on citing the numbers on mean and standard deviation/variance‚ and comparing the utilisation between AA Fly and TT Air. You may want to comment on the shape
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Statistical Analysis BU 510 601 2 Credit Hours Fall 2013 Instructor: Shrikant Panwalkar Office phone: (410) 234 9456 Office Hours: By appointment panwalkar@jhu.edu Required Text and Learning Materials Business Statistics in Practice; 6th Edition‚ McGraw-Hill Higher Education‚ ISBN-13 978-0-07-340183-6 (There are other ISBN numbers) Authors: Bowerman‚ Bruce; O’Connell‚ Richard. (the cover shows a third author – Murphree) Please note: 7th edition is available‚ however
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mechanical hitting machine so that any difference between the mean distances for the two models could be attributed to a difference in the two models. Based on the sample studied of 80 golf balls both current and new models‚ I have done the following analysis: 1. Formulated a hypothesis test for Par’s comparison of the driving distances of the current and new golf balls. 2. Analyzed data to provide a hypothesis testing conclusion and recommendation. 3. Provided descriptive statistical summaries
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ENTREPRENEURSHIP MODULE (ENT 205) STANDARD DEVIATIONS AND VARIANCES ESTIMATIONS Estimation of ( and (2 Although there are a number of methods of estimating the standard deviation of a population the sample standard deviation is the most widely used estimator of this parameter. If we use s to make inferences about ( (or s2 to make inference about ( 2 ) the theory on which a confidence interval for ( is based requires that the population sampled has roughly the shape of a normal distribution
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7) Data from a small bookstore are shown in the accompanying table. The manager wants to predict Sales from Number of Sales People Working. Number of sales people working | Sales (in $1000) | 4 | 12 | 5 | 13 | 8 | 15 | 10 | 16 | 12 | 20 | 12 | 22 | 14 | 22 | 16 | 25 | 18 | 25 | 20 | 28 | x=11.9 | y=19.8 | SD(x)=5.30 | SD(y)=5.53 | a) Find the slope estimate‚ b1. Use technology or the formula below to find the slope. b1=rsysx Enter x‚y Data in TI-84 under STAT > STAT
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)2 / N ] * Population variance = σ2 = Σ ( Xi - μ )2 / N * Variance of population proportion = σP2 = PQ / n * Standardized score = Z = (X - μ) / σ * Population correlation coefficient = ρ = [ 1 / N ] * Σ { [ (Xi - μX) / σx ] * [ (Yi - μY) / σy ] } Statistics Unless otherwise noted‚ these formulas assume simple random sampling. * Sample mean = x = ( Σ xi ) / n * Sample standard deviation = s = sqrt [ Σ ( xi - x )2 / ( n - 1 ) ] * Sample variance = s2 = Σ ( xi - x )2 / (
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0.30 E(R) 8.5% Covariance 0.014177 15.68% 11.91% 0.0153 Corr. 0.0246 9.76% S.D. 10.25% 0.009525 Variance 12% 0.99 EQ 7.2 Expected Return: E(RA) = (0.3) (‐0.05) + (0.4) (0.10) + (0.3) (0.20) = 0.085 = 8.5% E(RB) = (0.3) (‐0.10) + (0.4) (0.15) + (0.3) (0.30) = 0.12 = 12% EQ 7.3 Variance of Return: Var(RA) = (0.3) (‐0.05 – 0.085)2 + (0.4) (0.10 – 0.085)2 + (0.3)(0.20 – 0.085)2 = 0.009525 SD(RA) = Var(RA) ½ = (0.009525) ½ = 0
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EXERCISE 29 t-TEST FOR INDEPENDENT GROUPS I STATISTICAL TECHNIQUE IN REVIEW The t-test is a parametric analysis technique used to determine significant differences between the scores obtained from two groups. The t-test uses the standard deviation to estimate the standard error of the sampling distribution and examines the differences between the means of the two groups. Since the t-test is considered fairly easy to calculate‚ researchers often use it in determining differences between two groups
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MEI STRUCTURED MATHEMATICS EXAMINATION FORMULAE AND TABLES 1 Arithmetic series General (kth) term‚ last (nth) term‚ l = Sum to n terms‚ Geometric series General (kth) term‚ Sum to n terms‚ Sum to infinity Infinite series f(x) uk = a + (k – 1)d un = a + (n – l)d – – Sn = 1 n(a + l) = 1 n[2a + (n – 1)d] 2 2 x2 xr = f(0) + xf’(0) + –– f"(0) + ... + –– f (r)(0) + ... 2! r! f(x) f(a + x) uk = a r k–1 a(1 – r n) a(r n – 1) Sn = –––––––– = –––––––– 1–r r–1
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