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Scatter plots. Why Do We Need Descriptive Statistics?Scales of MeasurementTablesGraphsProportions and RatesRelative Measures of Disease FrequencySensitivity, Specificity and Predictive ValuesMeasures of Central TendencyMeasures of Spread or VariabilityMeasures of ShapeSummaryFurther ReadingProblems. endstream endobj 166 0 obj <> endobj 167 0 obj <>/Font<>/ProcSet[/PDF/Text/ImageC]/XObject<>>>/Rotate 0/Type/Page>> endobj 168 0 obj <>stream 5. trailer << /Size 51 /Info 22 0 R /Root 25 0 R /Prev 49772 /ID[] >> startxref 0 %%EOF 25 0 obj << /Type /Catalog /Pages 21 0 R /Metadata 23 0 R /PageLabels 20 0 R >> endobj 49 0 obj << /S 140 /L 219 /Filter /FlateDecode /Length 50 0 R >> stream hެR�j�0��. ResearchGate has not been able to resolve any citations for this publication. Random variables and their distributions . Introductory Statistics Notes Jamie DeCoster Department of Psychology University of Alabama 348 Gordon Palmer Hall Box 870348 Tuscaloosa, AL 35487-0348 Phone: (205) 348-4431 Fax: (205) 348-8648 August 1, 1998 These were 6. 3. 0000030719 00000 n 0000006911 00000 n Sources of data : Internal data and external data .Types of data: Nominal, ordinal, interval and ratio. Access scientific knowledge from anywhere. To recommend policies and actions for improveme. 178 0 obj <>stream Measures of variability, standard deviation, range, skewness measure (grouped and non-grouped data).Quartiles and percentiles. Reporting the results and All content in this area was uploaded by Z. 24 0 obj << /Linearized 1 /O 26 /H [ 980 304 ] /L 50380 /E 36196 /N 5 /T 49782 >> endobj xref 24 27 0000000016 00000 n 0000016778 00000 n ce`a�X �4�2\a\�T�xƑ$Ul=gN�GD/���������4���O����� *`�� �D1�x�8� �����a��bY��:�N��&o�)� ���h:,a�ag앳��S�4�A�١IA���Ɂ�0�a���m��3�4{ b�2' endstream endobj 50 0 obj 191 endobj 26 0 obj << /Type /Page /Parent 21 0 R /Resources 27 0 R /Contents 35 0 R /MediaBox [ 0 0 612 792 ] /CropBox [ 0 0 612 792 ] /Rotate 0 >> endobj 27 0 obj << /ProcSet [ /PDF /Text ] /Font << /TT2 28 0 R /TT4 29 0 R /TT6 31 0 R /TT8 36 0 R /TT9 39 0 R >> /ExtGState << /GS1 45 0 R >> /ColorSpace << /Cs6 34 0 R >> >> endobj 28 0 obj << /Type /Font /Subtype /TrueType /FirstChar 46 /LastChar 121 /Widths [ 319 0 0 0 575 0 0 0 0 0 0 0 0 0 0 0 0 543 0 0 0 0 882 755 0 904 900 436 0 0 691 0 900 0 786 0 862 639 800 0 0 0 0 869 0 0 0 0 0 0 0 559 639 511 639 527 351 575 639 319 351 607 319 958 639 575 639 0 473 454 447 639 607 0 607 607 ] /Encoding /WinAnsiEncoding /BaseFont /LDCPKL+Dcbx10 /FontDescriptor 33 0 R >> endobj 29 0 obj << /Type /Font /Subtype /TrueType /FirstChar 37 /LastChar 193 /Widths [ 833 0 0 389 389 0 0 278 333 278 500 500 500 500 500 500 500 500 500 500 500 0 0 0 778 0 472 0 750 708 722 764 0 653 0 750 361 0 0 625 916 750 778 680 0 736 555 722 750 0 1028 0 750 0 0 0 0 0 0 0 500 555 444 555 444 305 500 555 278 0 528 278 833 555 500 555 0 392 394 389 555 528 722 528 528 444 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 278 0 500 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 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 750 ] /Encoding /WinAnsiEncoding /BaseFont /LDCPLM+Dcr10 /FontDescriptor 32 0 R >> endobj 30 0 obj << /Type /FontDescriptor /Ascent 706 /CapHeight 0 /Descent -969 /Flags 32 /FontBBox [ -29 -960 1116 775 ] /FontName /LDCPLO+Cmsy10 /ItalicAngle 0 /StemV 0 /FontFile2 40 0 R >> endobj 31 0 obj << /Type /Font /Subtype /TrueType /FirstChar 149 /LastChar 215 /Widths [ 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 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 0 0 0 0 0 0 0 0 0 778 ] /Encoding /WinAnsiEncoding /BaseFont /LDCPLO+Cmsy10 /FontDescriptor 30 0 R >> endobj 32 0 obj << /Type /FontDescriptor /Ascent 706 /CapHeight 671 /Descent -217 /Flags 32 /FontBBox [ -40 -250 1008 896 ] /FontName /LDCPLM+Dcr10 /ItalicAngle 0 /StemV 90 /XHeight 437 /FontFile2 42 0 R >> endobj 33 0 obj << /Type /FontDescriptor /Ascent 700 /CapHeight 671 /Descent -211 /Flags 32 /FontBBox [ -57 -308 1163 904 ] /FontName /LDCPKL+Dcbx10 /ItalicAngle 0 /StemV 142 /XHeight 437 /FontFile2 41 0 R >> endobj 34 0 obj [ /ICCBased 44 0 R ] endobj 35 0 obj << /Length 2769 /Filter /FlateDecode >> stream 0000003660 00000 n 0000002656 00000 n 4. %PDF-1.3 %���� H��W���������X����% 4-j' A�;�(�����;�:�@J�8ϑ. 0 To assess the performance of Applied Colleges of Sciences ; This textbook is part of a larger OER course package... | Find, … There is no first quartile. Scatter plots and simple linear regression.
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Random variables and their distributions . It covers the following topics: Common areas of use. 0000033721 00000 n Obtaining data. Statistical data terminology : Population, population characteristics, sample ,population census , sampling and non-sampling errors,… and variables. A. Al-Hemyari on Dec 19, 2018. Obtaining data. Studying and improving the metacognition skills of higher education students, 2013-2014. �,S��<7��*\���?��Kr��kfu��l��lX��W��sTr��7s-V��`�����S-s�����s��_�E�h���o�r�7Ng��U�h���j�f�M=����ۼ�*�j�9������V�1Q��T���bZ��O� Kާ�\U|^c�h�� ��fC�.��ʛK4�[Em�w��:SwJ��6g�[�9⥙u�J�7xF��YNs6C����u�l��R�m��9����9�Ni���8�s�(�vN�R`Ֆ�jFVwٔ�-y������Y�S�|Y,W��u�����APIIPPPHIH�@BX�H0��Ji`!��������kXZH9�,Ť ����bl�(�%Y#`�Q�dl���8������$��I�l��#�^c�c5�3���-fR6q ?���30{ ���v�2�3ʱY�U,���v�Q�ɐ�{���9�f�\0�1��NAiF����2���Re �V 0000001621 00000 n Join ResearchGate to find the people and research you need to help your work. Summarizing Data: Descriptive Statistics and Histograms, On Shrinkage estimators for the mean of normal distribution when the variance is unknown. One and two way frequency tables and how to make them.
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Proposing a set of statistical indicators; 10/29/06 Directions. 3. Descriptive statistics: Summarizing data. 0000035842 00000 n Measures of variability, standard deviation, range, skewness measure (grouped and non-grouped data).Quartiles and percentiles. Writing the methodology of the project; r the pilot study; 4. 2. All rights reserved. Types job opportunities.... | Find, read and … Descriptive statistics: Summarizing data. endstream endobj startxref To assess the performance of Applied Colleges of Sciences; 0000028660 00000 n Collecting and analyzing the data;