12th GradeMenu1Add and Subtract Matrices: The Dimension RuleActivity Set 12Inverse of a MatrixActivity Set 13Multiply Matrices of Appropriate Dimensions?Activity Set 14Zero and Identity MatricesActivity Set 15Multiply Matrices by ScalarsActivity Set 16Multiply a Matrix by a VectorActivity Set 17Matrix Multiplication Not CommutativeActivity Set 18Use Matrices to Represent and Manipulate DataActivity Set 19Represent a System of Linear Equations as a Matrix EquationActivity Set 1102×2 Matrices Transform Shapes and AreaActivity Set 111Use an Inverse Matrix to Solve Linear EquationsActivity Set 112Expected ValueActivity Set 113What is the Inverse Relationship Between Exponents and Logarithms?Activity Set 114Determinant of a 2-by-2 MatrixActivity Set 115Expected Payoff in GamesActivity Set 116How Can Shape, Center, and Spread Help You Compare Data?Activity Set 117How do you prove the addition and subtraction formulas for sine?Activity Set 118How Do You Solve Trigonometric Equations with Inverse Functions?19How do you prove the addition and subtraction formulas for cosine?Activity Set 120How do you prove the addition and subtraction formulas for tangent?21What's the Difference between Correlation and Causation?Activity Set 122Derivative of Natural Exponential FunctionsActivity Set 123How Do You Estimate Population Values Using a Sample Survey?24Composite FunctionsActivity Set 125How do you Make a Probability Distribution for a Random VariableActivity Set 126Exponents and LogarithmsActivity Set 1Activity Set 227Hypothesis testingActivity Set 1Activity Set 228What are confidence intervals?Activity Set 129Confidence Intervals - ProportionsActivity Set 130Discrete and continuous random variablesActivity Set 131The normal distributionActivity Set 132Probabilities and areas under the normal curveActivity Set 1Activity Set 233Making a Probability DistributionActivity Set 134Correlation and CausationActivity Set 1Activity Set 235Confidence Intervals - MeansActivity Set 136Significance test and p-valuesActivity Set 1Activity Set 237Estimate ParametersActivity Set 138Central Limit TheoremActivity Set 13968 - 95 - 99.7 Rule Activity Set 1Activity Set 240Standard Normal DistributionActivity Set 1Assume X is a normally distributed random variable with mean μ and standard deviation σ. Given a specific x find the standardized value z.Given μ=100, σ=15, and x=115.z=CheckResetContinue41z-scoresActivity Set 1Activity Set 2Activity Set 342Standardize using z-scoresActivity Set 1
Assume X is a normally distributed random variable with mean μ and standard deviation σ. Given a specific x find the standardized value z.Given μ=100, σ=15, and x=115.z=CheckResetContinue
