alternative hypothesis. For example if the researcher wants to compare the average value generated by two different procedures the null hypothesis to be tested is [pic] and the alternative hypothesis is [pic] Step2. Specify the significance level ((). The significance level of a test is the probability of rejecting a null hypothesis when it is true. A test is to be constructed in such a manner that the probability of committing this error (Type I error) a pre assigned value. Step3. Specify
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CHAPTER V : ANALYSIS AND INTERPRETATION Scale of factors for selection of pre-owned vehicles | FACTORS | RANK 9 | RANK 8 | RANK 7 | RANK 6 | RANK 5 | RANK 4 | RANK 3 | RANK 2 | RANK 1 | VALUE | Price | 1 | 6 | 6 | 0 | 15 | 0 | 35 | 48 | 180 | 291 | Top Pick | 6 | 2 | 6 | 4 | 25 | 30 | 28 | 72 | 63 | 236 | The year and make of your car | 0 | 48 | 84 | 24 | 75 | 192 | 168 | 96 | 63 | 750 | Model | 0 | 2 | 15 | 4 | 25 | 60 | 42 | 24 | 81 | 253 | Dealer | 2 | 8 | 6 | 20 | 45 | 30 | 35 |
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CORRELATION RESEARCH DEFINITION: Correlational research tests for statistical relationships between variables. The researcher begins with the idea that there might be a relationship between two variables. She or he then measures both variables for each of a large number of cases and checks to see if they are in fact related. The relationship of interest could be either a D relationship or an R relationship‚ so this might involve making a bar graph and computing D or making a line graph
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M&Ms candies is 0.24 at the 0.05 significance level. Hypotheses: Claim –p =0.24 H0: p = 0.24 (null) H1: p = 0.24 (alternative) Decision: Reject the null (sufficient evidence to suggest that true proportion is 0.24) Proportion | Count | Total | Sample Prop. | Std. Err. | Z-Stat | P-value | p | 379 | 1978 | 0.1916 | 0.1062995 | -5.039380 | .000000468 | Test their claim that the true proportion of orange M&Ms candies is 0.20 at the 0.05 significance level. Hypotheses: Claim –p =0
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meteorological stations located in different agroecological zones were used to determine trends in annual and seasonal totals‚ onset and cessation dates‚ length of growing period (LGP) and dry spell length. Sen’s estimator and Mann-Kendall’s statistical tests were used for trend detection. Two hundred fifty three farmers from three administrative areas (districts) that are close to the meteorological stations were interviewed in order to investigate farmers’ perception on rainfall trend and
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is [pic] where [pic]= 0.132687246 Therefore‚ [pic]= 2.160335305 Rejection criteria: Reject the null hypothesis‚ if the observed significance (p-value) is less than the significance level 0.05. P-value = P ([pic]> 2.160335305) = 0.030746722 Conclusion: Reject the null hypothesis‚ since the observed significance (p-value) is less than the significance level 0.05. The sample provides enough evidence to support the claim that there is significant difference in the proportions of red and
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47.15 -3.02 0.001 α 0.05= -1.645 H0 μ = 50‚000 Ha μ < 50‚000 The hypothesis test claims that the average annual income was less than $50‚000. H0 claims equal to $50‚000 and the alternative hypothesis claims less than $50‚000. The significance level is α 0.05= -1.645. According to Course Project data‚ when I generate the data of income in Minitab‚ I found the standard deviation‚ which is 14.64. Then next step is calculating the z-value by Minitab‚ which is -3.02. Consequently; z-value
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CHAPTER I The Problem and Its Background Introduction Education is instrumental in harnessing man’s potentials and capacities to make him a productive and effective member of society; hence the total development of the individual is the ultimate aim of education. Thus‚ schools were established in all feasible areas to quench man’s quest for further knowledge and optimum development. In effect‚ awareness to the significant benefits of education directed the school towards offering different courses
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exceed 3 kg as many airlines limit the weight of carry-on luggage on their planes to 7 kg. Past experience allows the assumption that the std. dev = 0.03 kg. A sample of 50 cabin bags is selected and the sample mean is 3.009 kg. Using a 0.05 significance‚ conduct a hypothesis test to determine if the population mean weight of the cabin bags is greater than 3kg? What is the null and alternative hypothesis for this test? A H0: µ ≥ 3‚ H1: µ < 3 B H0: µ ≤ 3‚ H1: µ > 3 C H0: µ = 3‚ H1: µ ≠ 3
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of sellers who allow teens to purchase tobacco. (c) Explain how the confidence interval is equivalent to a two-tailed test at α = .05 (Please see attachment) 9.56 A coin was flipped 60 times and came up heads 38 times. (a) At the .10 level of significance‚ is the coin biased toward heads? Show your decision rule and calculations. (b) Calculate a p-value and interpret it. (Please see attachment) 10.4 A survey of 100 mayonnaise purchasers showed that 65 were loyal to one brand. For 100 bath
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