M&M’s Write Up 1. Bag Weight Analysis The bag weight analysis focuses on whether the weight of the bag of M&Ms is consistent with the advertised weight around 50oz. We assumed the series of data containing the classes’ weights to be approximately normal. Since n=48, the large-sample test for population mean was used to determine the plausibility that the advertised weight was true. 2. Color Distribution Analysis The color distribution analysis calculated whether or not the
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M & M Project Report M&M Research Dolores Smithson MAT300 – Statistics Section 0037VA016-1122-001 Strayer University Online Professor Denise Wilson March 11, 2012 Introduction: Purpose of Report So when we think melt in your mouth not in your hands, the majority of people will immediately know we are talking about M & M’s. The purpose of this report will be to give the statistical data we found in our test sample. We randomly sampled 78 bags of M&M’s to
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Significance We will use a = .05 for the test. The 5 percent right-tail critical value from Appendix F is F(3,25) = 3.13 Step 4: Perform the Calculations/ Test Statistics Using MegaStat for the calculations, we obtained the results shown in the Excel Spread sheet. Excels default is a = .05. Step 5: Make the decision Since the test statistic F = 7.60 exceeds the critical value F (.05) = 3.13, we can reject the hypotheses of equal means. The p-value (p = 0.001044) is less than the level of significance
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Lee Dorf – Communication Theory – Unit 2 Hye-Jin Paek, B. H. (2011). Roles of interpersonal and media socialization agents in adolescent self-reported health literacy: a health socialization perspective. Health Education Research , 26 (1), 131-149. The program was implemented by faculty from the Departments of Advertising, Public Relations and Retailing, at Michigan State University and University of Georgia. The survey was conducted among
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He should focus on finding a location with waterfront view, since his potential client favors view over location’s distance. 3. With respect to the restaurant’s atmosphere, is a string quartet preferred over a jazz combo? Paired Samples Statistics Mean N Std. Deviation Std. Error Mean Pair 1 Prefer String Quartet 2.50 400 1.420 .071 Prefer Jazz Combo 3.70 400 1.221 .061 Ho: prefer string quartet- prefer jazz combo=0 H1: prefer string quartet – prefer jazz combo not equal
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Measurement Scales If a researcher is going to use statistics properly, it is crucial to consider the kind of data about which descriptive statistics are to be calculated or to which will be applied some kind of statistical test. Statistical analysis, even simple analysis as counting, requires that each characteristic to be studied be assigned a unique value. Sometimes, especially in qualitative research with small samples, this value can be a word or symbol. For example, the interviewers could
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[pic] The results change. The coefficient on seat belt useage is now negative and the coefficient is statistically significant. The estimated value of βsb_useage=-0.0037 d. The time effects are statistically significant .. the F-statistic .. 10.91 with a p-value of 0.00. The results in (3) are the most reliable. e. A 38% increase in seat belt useage from 0.52 to 0.90 is estimated to lower the fatality rate by 0.00372* 0.38= 0.0014 fatalities per million traffic miles.
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University of Central Punjab Faculty of Management Studies Assignment 02 (Summer-2012) Course Title: Business Statistics Course Code: (QM2013) Section: A Resource person: Prof. M Aslam Javed. Program: BBA/BSIS/BSSS/MBA Marks: 10 Submission Date: Sep. 01, 2012 Name: ______________________________ Registration Number: _________________ Question 1: The marks obtained by 12 students in December test (X) and promotion test (Y) are given below: Student 1 2 3 4 5 6 7 8 9 10 11 12 X 41 45 50
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VARIABLES=Income /STATISTICS=MEAN STDDEV VARIANCE RANGE MIN MAX SKEWNESS. Resources Processor Time 00:00:00.00 Elapsed Time 00:00:00.02 [DataSet0] Descriptive Statistics N Range Minimum Maximum Mean Std. Deviation Statistic Statistic Statistic Statistic Statistic Statistic Three-Year-Average Median Income(2008-2010) 51 $29,453 $36,850 $66,303 $50,734.18 $7,555.310 Valid N (listwise) 51 Descriptive Statistics Variance Skewness Statistic Statistic Std. Error Three-Year-Average
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CASE STUDY 5: Statistical Process Control Ikrom Abdullaev M0158958 Shamil Tlukashaev Chuan Lai Exercise A: Control Charts for Variables Step 1: Gather data Four samples of five observations (launches) each were arranged in tabular form. The mean and range for each sample determined and computed the mean of the means and the mean of the ranges. Data Table SampleNumber | Observation 1 2 3
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