Level of Significance (alpha) 0.010 0.010 0.010 0.010 Critical Value (lower tail) -2.576 -2.576 -2.576 -2.576 Critical Value (upper tail) 2.576 2.576 2.576 2.576 Hypothesized value 12 12 12 12 Standard Error 0.040 0.040 0.038 0.038 Test Statistic -1.027 0.713 -2.935 2.161 p-value 0.304 0.476 0.003 0.031 Only sample 3 leads to the rejection of the hypothesis H0: µ = 12. Thus‚ corrective action is warranted for sample 3. The other samples indicate H0 cannot be rejected and thus from all
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* Question 1 0 out of 2.5 points | | | The least effective way to determine random numbers is toAnswer | | | | | Selected Answer: | use the "pseudo random numbers" produced by the special equations in computers. | | | | | * Question 2 0 out of 2.5 points | | | The items below are based on the following scenario. In a third world country‚ 100 randomly selected people were surveyed about their socioeconomic class and religious affiliation. The results and an
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government by the people. In contrast representative democracy can be seen as government for the people. Also depending if one agrees with political equality will alter your definition for example if a person has high level of social significance they would believe that democracy is the rule of the elite and political equality does not exist this is the view point of Marxists. However on the other hand liberal- democracies do believe it and therefore their opinion on “democracy” is political equality
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Police brutality has been one of the major issues in America for decades and should be resolved immediately. Statistics say that In May of 2015‚ it has been analyzed the 385 fatal police shootings in the United States have occurred so far in 2015. The number‚ which came out to two officer-involved shooting deaths per day‚ was more than twice the rate that the government had recorded over the past decade. That same report found blacks to be killed at three times the rate of whites or other minorities
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were randomly and independently chosen from the populations‚ population distributions are normal for each group; and population variances are equal for all groups. The assumptions of ANOVA are identical to the t-test and the calculated statistic is called an F-value which has a probability value associated with it. As with the t-test‚ if our probability value is less than 0.05 we reject our null hypothesis (in this case that there is no difference among the treatment groups). This p-value
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Statistics Cheat Sheet Proportion = Frequency x 100 = Percentage Total No | Z score (standardised value)-how many sds from the mean the value liesZ score = data value – mean Standard deviation | Metric Data = ExploreCategory = Frequencies | Bigger sample size will give a narrower confidence interval range (more specific) outliers affect the mean but not the median – this is why the median is preferred here.mean | | Reports -Only give confidence
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According to Reichel (2013) "In an attempt to reduce the data loss that occurs when relying on police reports of crime‚ individual countries are making greater use of victimization surveys" (p. 31). The heuristic fact is that only a fraction of crimes are reported whether by the victims or law enforcement professionals. Low crime does not reflect patterns in crime or at risks of victimization and
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Statistics for Business Intelligence – Hypothesis Testing Index: 1. What is Hypothesis testing in Business Intelligence terms? 2. Define - “Statistical Hypothesis Testing” – “Inferences in Business” – and “Predictive Analysis” 3. Importance of Hypothesis Testing in Business with Examples 4. Statistical Methods to perform Hypothesis Testing in Business Intelligence 5. Identify Statistical variables required to compute Hypothesis testing. a. Correlate computing those
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College of Business Administration and Accountancy Marketing Department “The Perception of DLSU-D Students in the Prohibition of Plastic Inside the Campus” In Partial Fulfillment of the Course Requirements in Business Statistics Presented to: Prof. Shiella B. Grospe Presented by: MAGBITANG‚ Lacy Ann N. GASPAR‚ Hillary Vizzel F. ESTOLLOSO‚ Katherine P. BUALOY‚ Jane Angelique C. SEMIRA‚ Pacholo D. October 2012 TABLE OF CONTENTS I. The Problem and Its Background……………………………………
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Applied Research and Statistics QNT561 Research and Sampling Designs Shindeera Robinson June 21‚ 2010 Chapter 8 21. What is sampling error? Could the value of the sampling error be zero? If it were zero‚ what would this mean? Sampling error is the difference between the statistic estimated from a sample and the true population statistic. While we would expect the sampling error to not be zero‚ it is not impossible. For example if you were evaluating the ethnicities of a population and everyone
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