Statistic

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    Struggle With ADHD

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    Studying research and statistics has been a challenging endeavor. Though I am not a mathematician, knowing how the data is collected and analyzed provides me with an increased comprehension of research studies that are completed, particularly in my field of psychology. One such study involving the fitness levels of children who struggle with ADHD is a case in point. Understanding descriptive statistics and ANOVA test scores allows me greater clarity into the results and conclusions of the study.…

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    Beltway Shoe Company Statistics are everywhere, in business meetings in the form of graphs and charts, quality in the form of frequency of errors, and in the media as survey results and weather forecasts. Some folks may be nervous when they hear the word statistics; however, they are most likely using statistics and probability nearly every day of their life and not even notice it. Beltway Shoe Company is featured in this exercise reviewing the results of their Western and Eastern region shoe…

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    Central Tendency Paper

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    examination it is clear that one campaign outperformed the other. But, with these results comes some questions about how and why these campaigns performed at such different rates. This small look at campaign rates is just a quick interpretation of basic statistics. Measures of Central Tendency There are three forms of central tendency’s which are used to describe the center set of the data. These…

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    value that indicates the boundary between the critical region and the non-critical region. In this case, the critical region is a range of values of the test statistic that denotes a significant difference and that the null hypothesis should be rejected. On the other hand, the p-value denotes the likelihood of obtaining an extreme sample statistic when the null hypothesis is true. In this case, we may reject the null hypothesis or fail to…

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    groups, µt1 = µt1 H1: The trimmed means are equal in the two groups, µt1 ≠ µt1 Essentially we are testing for a shift in location with trimmed means being used as the measures of location in the two groups. The details about how to calculate the statistic and it’s standard error are given on pages of Rand Wilcox’s book [4]. REJECTION REGIONS Once again, instead of relying on critical values, a pre-defined p value cut-off of 0.05 was used to determine significance i.e. it was determined before…

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    Deviation |Std. Error Mean | |Pair 1 | | |N |Correlation |Sig. | |Pair 1 |Before & After |20 |.193 |.415 | |Paired Samples Test | | |Paired Differences…

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    Null Hypothesis

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    AGE 168.1±4.50 157.83±4.43 RT. FOOT LENGTH & AGE 168.36±4.43 157.66±4.72 LT. FOOT LENGTH & AGE 168.31±4.42 157.67±4.73 KNEE HEIGHT& AGE 168.28±4.80 157.55±4.75 ACTUAL BODY HEIGHT 168.14±7.7 157.68±7.06 Table nos.2, 3 &4 depicts the descriptive statistics of body height, age, foot lengths and knee height in both males and females as well as in both genders respectively. The differences of the means of all variables except age were found to be higher and significant in males as compared to female…

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    University of Phoenix Material INTRODUCTION TO STATISTICAL THINKING Directions: Complete the following questions. The most important part of statistics is the thought process, so make sure that you explain your answers, but be careful with statistics. The following statistics/probability problems may intrigue you and you may be surprised. The answers are not always as you might think. Please answer them as well as you can by using common logic. 1. There are 23 people at a party. Explain…

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    Regression Method Based on the data we collected, our expected regression equation is: Walmart revenue = β0 – β1CPI + β2CSI + β3ECOM – β4GAS + β5POP –β6INT – β7UNEMP + β8EARN Then we ran the regression on Minitab and got an actual regression equation. We used the method (i.e. five questions and nine problems) to evaluate the equation Minitab produced. For each of the nine problems, we ask five questions: What is the problem? How can I detect it? What are the consequences of the problem? What are…

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    purposes of extrapolation of the data. Additionally, only respondents holding a full-time job were selected for the analysis in order to highlight the potential effects of work/family conflict (Lu et al., 2011). Description of Data and Descriptive Statistics A wide variety of data was collected for this article, some of which are discrete variables, such as Sex, Marital status, Rank, and Working spouse. All of these were given a score based on a nominal scale, and were then categorized…

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