GM 03 Business Statistics Assignment II Assignment Code: 2012 GM03 B2 Last Date of Submission: 15th November 2012 Maximum Marks: 100 Attempt all the questions. All questions are compulsory and carry equal marks. SECTION – A 1. a) Explain the need for different forecasting techniques. How can we evaluate as to how good is our forecast. b) Collect data on the amount of expenditure you do each day for the next 25 days and
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Lecture Notes on Introductory Statistics‚ I (P.P. Leung) Lecture notes are based on the following textbook: N.A. Weiss (2012)‚ Introductory Statistics‚ 9th edition‚ Pearson. Chapter 1 The Nature of Statistics 統計本質 §1.1 Two kinds of Statistics §1.4 Other Sampling Designs (其他抽樣方法) Chapter 1 The Nature of Statistics 統計本質 What is Statistics? 何謂統計? From Wikipedia‚ the free encyclopaedia: Statistics is a mathematical science pertaining to the collection‚ analysis‚ interpretation
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Running Heading: hypothesis and conclusion Unit 4 Short Paper: Hypothesis and Conclusion Kaplan University Ashley Gramma CJ499: Bachelors Capstone in Criminal Justice Professor Christopher Elg March 12‚ 2013 Science proceeds by a continuous‚ incremental process that involves generating hypotheses‚ collecting evidence‚ testing hypotheses‚ reaching evidence based conclusions. (Michael‚ 2002). The scientific process typically involves making observations‚ asking questions‚ forming hypotheses
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Take Home Test 2 1. A. Null Hypothesis: There are no relations or associations among the groups’ mean scores. Alternate Hypothesis: There is a relation or association among the student’s grade point averages and “if they rather prefer to stay at home than go out with friends”. Correlations | | Grade Point Average | I would rather stay at home and read than go out with my friends | Grade Point Average | Pearson Correlation | 1 | .233 | | Sig. (2-tailed) | | .120 | | Sum of Squares
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Test of Hypothesis – Large Sample Test Critical Value (Zx) | Level of Significance (x) | | 1% | 5% | Two tailed test | Z = 2.58 | Z = 1.96 | One tailed test | Z = 2.33 | Z = 1.64 | Q. Z= X- μ σ√n = x- μS.EX The mean height of a random sample of 100 students is 64” and standard deviation is 3”. Test the statement that the mean height of population is 67” at 5% level of significance. Solution: We are given n = 100
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neighborhood at a time” (Starbucks‚ 2013). The company’s values include quality‚ passion‚ fully engaging customers‚ humanity and enjoyment of life‚ setting the standard for being good neighbors‚ and accountability (Starbucks‚ 2013). Starbucks currently sets the standard in one market sector: whole bean coffee distribution within the United States. However‚ as Team A consultants identified‚ the company jeopardizes its frontrunner industry position by not expanding. Team A consultants discussed two primary
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Confidence Intervals and Hypothesis Testing Name: Math 256‚ Nelson 1. A soft-drink machine is regulated so that the amount of drink dispensed is approximately normally distributed with a standard deviation equal to 1.5 deciliters. Find a 95% confidence interval for the mean of all drinks dispensed by this machine if a random sample of 36 drinks had an average content of 2.25 dl. 2. The heights of a random sample of 50 college students showed a mean of 174.5 centimeters. Assume the
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9.18 a) Using forward stepwise regression to find the best subset of predictor variables to predict job proficiency. The Alpha-to-Enter significance level was set at 0.05 and the Alpha-to-Leave significance level was set at 0.10. The first predictor entered into the stepwise model is X3. SAS tells us that the estimated intercept is -106.13 and the estimated slope for X3 is 1.968. The R2-value is 0.8047‚ mean square error is 76.87. The second predictor entered into the stepwise model is X1.
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I. INTRODUCTION A. Statement of the problem What are the common problems encountered by different small business enterprises? B. Importance of the study By determining the common problems or difficult situations encountered by different small business enterprises‚ we can also determine the possible solutions or alternative in solving such business problem and to find or create actions to prevent in copping which such difficulties. Also we can take necessary actions for the problem will
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“ Statistics should be interpreted with caution as they can be misleading; they can both lie and tell the truth” Statistics are being used everyday to describe things in working and studying areas to show the productivity of the results they are hoping for. Therefore‚ people observe and notice alternative objects the world around. Throughout this fact‚ similarities and differences are such features that could endanger or turned out as advantages. This is called statistics. Explanations
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