The science of statistics uses regression analysis, hypothesis testing, sampling distributions, and more to ensure accurate data analysis. You will apply them for hypothesis tests for a population mean, as well as population proportion. Q` MJ endstream endobj 785 0 obj 265 endobj 749 0 obj << /Type /Page /Parent 744 0 R /Resources << /ColorSpace << /CS2 758 0 R /CS3 759 0 R >> /ExtGState << /GS2 776 0 R /GS3 778 0 R >> /Font << /TT4 755 0 R /TT5 753 0 R /TT6 757 0 R /TT7 760 0 R >> /ProcSet [ /PDF /Text ] >> /Contents [ 762 0 R 764 0 R 766 0 R 768 0 R 770 0 R 772 0 R 774 0 R 783 0 R ] /Annots [ 750 0 R ] /MediaBox [ 0 0 612 792 ] /CropBox [ 0 0 612 792 ] /Rotate 0 /StructParents 0 >> endobj 750 0 obj << /Dest [ 749 0 R /XYZ 110 91 null ] /Type /Annot /Subtype /Link /Rect [ 320 664 326 674 ] /C [ 0 0 0 ] /Border [ 0 0 0 ] /H /O >> endobj 751 0 obj << /Type /FontDescriptor /Ascent 891 /CapHeight 0 /Descent -216 /Flags 98 /FontBBox [ -547 -307 1206 1032 ] /FontName /HKGKFH+TimesNewRoman,BoldItalic /ItalicAngle -15 /StemV 142.397 /FontFile2 781 0 R >> endobj 752 0 obj << /Type /FontDescriptor /Ascent 891 /CapHeight 656 /Descent -216 /Flags 34 /FontBBox [ -558 -307 2000 1026 ] /FontName /HKGKHI+TimesNewRoman,Bold /ItalicAngle 0 /StemV 160 /XHeight 0 /FontFile2 782 0 R >> endobj 753 0 obj << /Type /Font /Subtype /TrueType /FirstChar 32 /LastChar 150 /Widths [ 250 0 0 0 0 833 0 0 333 333 500 0 250 333 250 278 500 500 500 500 500 500 500 500 500 500 278 278 564 564 0 444 0 722 667 667 722 611 556 722 722 333 389 722 611 889 722 722 556 722 667 556 611 722 722 944 722 722 0 0 0 0 0 0 0 444 500 444 500 444 333 500 500 278 278 500 278 778 500 500 500 500 333 389 278 500 500 722 500 500 444 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 333 444 444 0 500 ] /Encoding /WinAnsiEncoding /BaseFont /HKGKDG+TimesNewRoman /FontDescriptor 756 0 R >> endobj 754 0 obj << /Type /FontDescriptor /Ascent 891 /CapHeight 656 /Descent -216 /Flags 98 /FontBBox [ -498 -307 1120 1023 ] /FontName /HKGKBE+TimesNewRoman,Italic /ItalicAngle -15 /StemV 83.31799 /FontFile2 777 0 R >> endobj 755 0 obj << /Type /Font /Subtype /TrueType /FirstChar 32 /LastChar 149 /Widths [ 250 0 0 0 0 0 0 0 0 0 0 0 0 333 0 0 500 500 500 500 500 500 500 500 0 0 333 0 0 0 0 0 0 611 611 667 722 611 611 722 0 333 444 0 556 833 667 722 611 722 611 500 556 722 611 0 611 556 0 0 0 0 0 0 0 500 500 444 500 444 278 500 500 278 0 444 278 722 500 500 500 0 389 389 278 500 444 667 0 444 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 350 ] /Encoding /WinAnsiEncoding /BaseFont /HKGKBE+TimesNewRoman,Italic /FontDescriptor 754 0 R >> endobj 756 0 obj << /Type /FontDescriptor /Ascent 891 /CapHeight 656 /Descent -216 /Flags 34 /FontBBox [ -568 -307 2000 1007 ] /FontName /HKGKDG+TimesNewRoman /ItalicAngle 0 /StemV 94 /XHeight 0 /FontFile2 779 0 R >> endobj 757 0 obj << /Type /Font /Subtype /TrueType /FirstChar 32 /LastChar 121 /Widths [ 250 0 0 0 0 0 0 0 0 0 0 0 0 0 250 0 0 500 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 667 667 722 0 667 0 0 389 0 0 0 0 0 0 0 0 667 556 0 0 667 0 0 0 0 0 0 0 0 0 0 500 500 444 500 444 0 500 556 278 0 0 278 0 556 500 500 0 389 389 278 556 0 667 0 444 ] /Encoding /WinAnsiEncoding /BaseFont /HKGKFH+TimesNewRoman,BoldItalic /FontDescriptor 751 0 R >> endobj 758 0 obj [ /ICCBased 780 0 R ] endobj 759 0 obj /DeviceGray endobj 760 0 obj << /Type /Font /Subtype /TrueType /FirstChar 32 /LastChar 150 /Widths [ 250 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 500 500 0 0 0 0 0 0 0 0 0 0 0 0 0 0 722 0 722 722 667 0 0 0 389 0 0 667 944 722 0 611 0 722 556 667 0 722 0 0 722 0 0 0 0 0 0 0 500 556 444 556 444 333 500 556 278 0 0 278 833 556 500 556 0 444 389 333 556 500 722 500 500 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 500 ] /Encoding /WinAnsiEncoding /BaseFont /HKGKHI+TimesNewRoman,Bold /FontDescriptor 752 0 R >> endobj 761 0 obj 1897 endobj 762 0 obj << /Filter /FlateDecode /Length 761 0 R >> stream Topics covered include: Various applications of the normal distribution The binomial and Poisson distributions Sample versus population data; the Central Limit Theorem. The course advances your knowledge of business statistics by introducing you to confidence intervals and hypothesis testing. If the OP is in fact talking about a more applied stats course, then you dont have to be great at math to get a decent grade in the course. Statistics is very practical because it allows you to make insightful decisions. The use of Excel is widespread in the industry. Mathematics and logic are the main pillars on which statistics stand, and focusing on basics combined with a fair amount of practice will make a student better at it. With the right teaching and learning approach, statistics can be made easier. A probability distribution assigns probabilities to each possible value of a random variable.
\nThe two basic types of probability distributions are discrete and continuous. The objective of this course is to develop a strong foundation of all the important concepts of business statistics. A Norma Regulamenta 06 - Equipamento de proteo individual - EPI, trata de um procedimento muito importante para a preservao da sade do trabalhador e isso ocorre quando as medidas de ordem geral no oferecem proteo suficiente, enquanto as medidas de protees coletivas estiverem sendo implantadas e ou para atender situaes de emergncia. Business Statistics and Analysis: Rice University. You'll learn the interpretation of regression output in the presence of categorical variables. Examples of continuous distributions include:
\nUniform
\nNormal
\nStudent’s t
\nChi-square
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\nIn statistics, sampling distributions are the probability distributions of any given statistic based on a random sample, and are important because they provide a major simplification on the route to statistical inference. Pivot table. But statistics classes that are intended for non-majors or for social science majors generally do have more emphasis on concepts and on simple arithmetic/algebra. Another type of measure, known as a measure of association, refers to the relationship between two samples or two populations. Along the way, Excel functionality is introduced using easy-to-understand examples so you'll become comfortable in understanding and applying them. %PDF-1.5 Also, many terms are related to the words we use in daily life that it becomes difficult to distinguish between the two. The mathematical training of far too many students leaves them unprepared for dealing with abstractions in general and Multiple regression analysis: Used to estimate the relationship between a dependent variable and two or more independent variables; for example, the relationship between the salaries of employees and their experience and education. This leads us to various statistical distributions along with their Excel functions, which are then used to model or approximate business processes. 0000011148 00000 n 0000043439 00000 n All rights reserved. Topics covered include: Introducing the difference-in-means hypothesis test Applications of the difference-in-means hypothesis test The equal and unequal variance assumption and the paired t-test for difference in means. Breaking down the myth of "Is Statistics hard?". Alan received his PhD in economics from Fordham University, and an M.S. A powerful data summarizing tool, the Pivot Table, is also explained, and we begin to introduce the charting feature of Excel. Once the problem is set up, it uses math, now done online, to answer the question with a very good degree of probability. Many students think that statistics involve a lot of calculations due to the complex formulas. Statistics involves essentially arithmetic and some algebra. Do ratios help put numbers in perspective and understand them better? Youll master essential spreadsheet functions, build descriptive business data measures and develop your aptitude for data modeling. 12,996 recent views. Thats assuming that this is a non-calculus-based statistics classcalculus-based statistics will have more than that. in financial engineering from Polytechnic University. Statistics is challenging for students because it is taught out of context. Most stats books have tables of all the comparisons you need to make, and theyre easy to find online too. Topics covered include: Reading data into Excel using various formats Basic functions in Excel, arithmetic and various logical functions Formatting rows and columns Using formulas in Excel and copy and paste using absolute and relative referencing, WEEK 2 Module 2: Spreadsheet Functions to Organize Data This module introduces various Excel functions to organize and query data. There are five courses in this specialization. The science of statistics uses regression analysis, hypothesis testing, sampling distributions, and more to ensure accurate data analysis. Ultimately, statistics will be helpful in practical decision making. Anyone who is looking to start their own business knows the . This course introduces the student to basic business statistics and quantitative analysis and their application in solving business problems. We will build a regression model and estimate it using Excel. So, a sample measure, such as the mean, should be a good estimate of the corresponding population measure. It is easier to learn when you arent frozen with fear. Hb```f``b`c``d@ AV(G#&``5a@E^"< ss/h=g1kO&VeLj0]{}aAHt` @gF @bHH0i)7]>Vb 8 LvW.10g\ }8q}@I;]41F 201D10r30_ As an academic discipline, mechanical engineering entails the design, creation, manufacturing, and analysis of mechanical systems or, more broadly, anything in motion. Towards the end of the module, we introduce the dummy variable regression, which is used to incorporate categorical variables in a regression. Statistics is the science of collecting, organizing, analyzing, and interpreting data. Statistics teaches problem solving using logic and measurement. Regression analysis may also be used for forecasting purposes; for example, a regression equation may be used to forecast the future demand for a companys products. It was very hard (I hated it, and I just barely got a B) and youd be surprised how little actual numbers were involved (lots and lots of derivatives, integration, greek letters, etc). Know more about the Cuemath fee here, Cuemath Fee. The only way how to learn cooking is to cook. Most students do not really learn and apply statistics until they start analyzing data in their own researches. These tests are used to ensure that the regression results are not simply due to random chance but indicate an actual relationship between two or more variables. 0000005697 00000 n 1 0 obj In this article, we discussed that statistics is a tricky subject to learn. Statistics make it possible to analyze real-world business problems with actual data so that you can determine if a marketing strategy is really working, how much a company should charge for its products, or any of a million other practical questions. inferences (Becker and Green, 2001), how we teach Business Statistics makes a real difference on the extent of student learning upon completion of the course. 0000102520 00000 n It is also standard with the 2016 or later Mac version of Excel. The interquartile range represents the middle 50 percent of the data; it’s calculated as the third quartile minus the first quartile.
\nAnother type of measure, known as a measure of association, refers to the relationship between two samples or two populations. Guarant do Norte um municpio do estado do Mato Grosso localizado na regio Centro-Oeste do Brasil.
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