Tagum City Regional Academy Statistics and Probability 11 Reviewer PDF

Republic of the Philippines Department of Education TAGUM CITY DIVISION **TAGUM CITY REGIONAL ACADEMY FOR SENIOR HIGH SCHOOL** **THIRD QUARTERLY EXAMINATION REVIEWER FOR** **STATISTICS AND PROBABILITY 11** STUDY Definition of Random Variable Meaning of Discreet and Continuous Random Variable...

Republic of the Philippines Department of Education TAGUM CITY DIVISION **TAGUM CITY REGIONAL ACADEMY FOR SENIOR HIGH SCHOOL** **THIRD QUARTERLY EXAMINATION REVIEWER FOR** **STATISTICS AND PROBABILITY 11** STUDY Definition of Random Variable Meaning of Discreet and Continuous Random Variable Shape of the Normal Probability Distribution Properties of a Normal Probability Type of Graph used in Probability Distribution How to Construct a SAMPLE SPACE Symbols of MEAN, VARIANCE & STANDARD DEVIATION Definition of MEAN, VARIANCE & STANDARD DEVIATION Definition of a NORMAL DISTRIBUTION Properties of a NORMAL DISTRIBUTION EMPIRICAL RULE Distribution PRACTICE SOLVING PROBLEMS ALL TABLE ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ X 0 1 2 3 ------ ----------------------------------------- ----------------------------------------- ----------------------------------------- ----------------------------------------- P(X) \ \ \ \ [\$\$\\frac{1}{8}\$\$]{.math.display}\ [\$\$\\frac{3}{8}\$\$]{.math.display}\ [\$\$\\frac{1}{8}\$\$]{.math.display}\ [\$\$\\frac{3}{8}\$\$]{.math.display}\ ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ \ [\$\$\\mathbf{\\ \\ \\ \\ \\ \\ \\ \\ \\ \\ \\ \\ \\ \\ \\ \\ \\ \\ \\mu = \\ }\\sum\_{}\^{}\\mathbf{X \\bullet P(X)}\$\$]{.math.display}\ \ [\$\$\\mathbf{\\text{\\ \\ \\ \\ \\ \\ \\ \\ \\ \\ \\ \\ \\ \\ \\ \\ }}\\mathbf{\\sigma}\^{\\mathbf{2}}\\mathbf{=}\\sum\_{}\^{}{\\mathbf{(X - \\mu)}\^{\\mathbf{2}}\\mathbf{\\ \\bullet P(X)}}\$\$]{.math.display}\ \ [\$\$\\mathbf{\\text{\\ \\ \\ \\ \\ \\ \\ \\ \\ \\ \\ \\ \\ \\ \\ \\ σ\\ }}\\mathbf{= \\ }\\sqrt{\\sum\_{}\^{}{\\mathbf{(X - \\mu)}\^{\\mathbf{2}}\\mathbf{\\ \\bullet P(X)}}}\$\$]{.math.display}\ [\$\\mathbf{\\ \\ \\ \\ \\ \\ \\ \\ \\ \\ \\ \\ or\\ \\ \\ \\ \\ \\sigma = \\ }\\sqrt{\\mathbf{\\sigma}\^{\\mathbf{2}}}\$]{.math.inline} "Study smarter, not harder"