Millar Biology statistics made simple using Excel Biology statistics made simple using Excel Neil Millar Spreadsheet programs such as Microsoft Excel can transform the use of statistics in A-level science Statistics is an area that most A-level biology students (and their teachers!) find difficult. The formulae are often complicated‚ the calculations tedious‚ degrees of freedom mysterious‚ and probability tables confusing. But in fact students need no longer grapple with any of these.
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CYPOP 24 Support children and young people’s speech‚ language and communication skills 1.1 – Explain the ways in which adults can effectively support and extend the speech‚ language and communication development for each of the following age groups: 0-5‚ 5-11‚ 11-16‚ 16-25 1.2 – Evaluate relevant positive effects of adult support for children‚ young people and their families There are many was that adults can help to extend children’s speech‚ language and communication. Children
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Statistics is the study of the collection‚ organization‚ analysis‚ interpretation‚ and presentation of data.[1][2] It deals with all aspects of this‚ including the planning of data collection in terms of the design of surveys and experiments. In mathematics‚ a graph is a representation of a set of objects where some pairs of the objects are connected by links. The interconnected objects are represented by mathematical abstractions called vertices‚ and the links that connect some pairs of vertices
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Chapter 2 Charts and Graphs Statistics is the science of data. A first step in the study of statistics is the examination of data. Chapters 2 and 3 present several techniques for reducing data so that it is more manageable. In addition‚ graphic displays are essential to understand and interpret complex sets of data in order to be able to make business decisions easier. Chapter 2 discusses and displays several graphical tools including the histogram‚ frequency polygon‚ ogive‚ dot plot‚ bar
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Normal(88.532‚5.07943) Normal(97.1033‚5.04488) Normal(107.15‚5.15367) Summary Statistics Mean 88.532 Std Dev 5.0794269 Std Err Mean 0.2271589 Upper 95% Mean 88.978306 Lower 95% Mean 88.085694 N 500 Sum 44266 Summary Statistics Mean 97.103333 Std Dev 5.0448811 Std Err Mean 0.2912663 Upper 95% Mean 97.676525 Lower 95% Mean 96.530142 N 300 Sum 29131 Summary Statistics Mean 107.15 Std Dev 5.1536687 Std Err Mean
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CHAPTER 24 PROBLEMS AND CASE PROBLEM 24-1 Annual Budget $18‚000 Gasoline Oil‚ minor 5‚626 repairs .. Outside repairs 4‚500 Insurance 28‚000 Salaries & 90‚000 benefits Depreciation 66‚000 202‚125 Total miles 375‚000 Cost per mile $0.539 No. of Cars 15 One-Month Budget 1‚500 April Varianc Actual e 1‚720 220 469 550 81 375 1‚500 495 1‚600 120 100 7‚500 7‚500 5‚500 16‚844 31‚250 $0.539 15 5‚867 17‚732 35‚000 $0.507 16 367 888 Required: Employing flexible budgeting techniques‚
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initiative? Has he been successful in turning around the company? Are additional efforts or initiatives needed? Why or why not? 9. What issues do Burton and the management team need to address? 10. What recommendations would you make to Jim Burton? CASE 24 Norton Lilly International: Implementing Transformational Change in
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hours of AA Fly is lesser than TT Air during each 24-hour period i.e. (10.229-7.167=3.062). • The sample size of AA Fly (27) is lesser than TT Air (28). Even though AA Fly’s sample is 1 day shorter than TT Air‚ it does not significantly affect the output as the one day does not change much (unless there had been a market shock). However based on Central Limit Theorem‚ if the sample size is greater than or equal to 30 samples‚ the sample statistics reflect the time population parameters. • The
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diseases (STDs)‚ and unintended pregnancy among U.S. school surveyed in 2011 from the Center of Diseases Control (CDC‚2011). An estimated 8‚300 young people aged 13–24 years in the 40 states reporting to CDC had HIV infection in 2009.Nearly half of the 19 million new STDs ( Sexually Transmitted Diseases) each year are among young people aged 15–24 years. More than 400‚000 teen girls aged 15–19 years gave birth in 2009(CDC‚ 2009) 47.4% had ever had sexual intercourse 33.7% had had sexual intercourse
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Scatterplots 4 Pearson’s Correlation 4 Spearman’s Rho 4 Probability 4 Binomial Distribution 4 Assumptions: 5 Subjective Probability 5 Normal Distribution 5 Standard Normal Distribution 5 Sampling Distribution 5 Standard Error of Statistic 5 Central Limit Theorem 5 Area under the Sampling Distribution of the Mean 6 Sampling Distribution‚ Difference between Independent means 6 Sampling Distribution of a Linear Combination of Means 6 Sampling Distribution of Pearson’s R 7
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