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Not your average video:
Interactive Problems: Solve problems alongside the video with step-by-step guidance and detailed solutions.
Exam Preparation: Complete unit reviews designed for final exam preparation with all key concepts covered systematically.
Expert Teaching: High-quality instruction from Perplex co-founder James Mullen with clear explanations, worked examples, and exam tips.
Distributions & Random Variables
Watch comprehensive video reviews for Distributions & Random Variables, designed for final exam preparation. Each video includes integrated problems you can solve alongside detailed solutions.
Not your average video:
Interactive Problems: Solve problems alongside the video with step-by-step guidance and detailed solutions.
Exam Preparation: Complete unit reviews designed for final exam preparation with all key concepts covered systematically.
Expert Teaching: High-quality instruction from Perplex co-founder James Mullen with clear explanations, worked examples, and exam tips.
Not your average video:
Interactive Problems: Solve problems alongside the video with step-by-step guidance and detailed solutions.
Exam Preparation: Complete unit reviews designed for final exam preparation with all key concepts covered systematically.
Expert Teaching: High-quality instruction from Perplex co-founder James Mullen with clear explanations, worked examples, and exam tips.
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SL 4.9
The calculator can also perform inverse normal calculations. That is, given the mean μ, the standard deviation σ, and the probability P(X<a), the calculator can find the value a.
Example
Given that X∼N(−3,2) and P(X>k)=0.3, find k.
If P(X>k)=0.3, then P(X<k)=1−0.3=0.7
On a calculator, we use invNorm with area=0.7,μ=-3, σ=2. The result is k=−1.95.
SL 4.9
The calculator can also perform inverse normal calculations. That is, given the mean μ, the standard deviation σ, and the probability P(X<a), the calculator can find the value a.
Example
Given that X∼N(−3,2) and P(X>k)=0.3, find k.
If P(X>k)=0.3, then P(X<k)=1−0.3=0.7
On a calculator, we use invNorm with area=0.7,μ=-3, σ=2. The result is k=−1.95.