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+---
+title: GRE Scores, Part II
+topic: Distributions of random variables
+author: Larry Gu
+source: original
+template_version: 1.4
+attribution: standard
+partialCredit: true
+singleVariant: false
+showCorrectAnswer: false
+outcomes:
+- 4.1.1.0
+- 4.1.1.1
+difficulty:
+- undefined
+randomization:
+- undefined
+taxonomy:
+- undefined
+span:
+- undefined
+length:
+- undefined
+tags:
+- LG
+assets: null
+part1:
+  type: number-input
+  pl-customizations:
+    comparison: decdig
+    digits: 0
+    weight: 1
+    allow-blank: true
+    label: Score =
+myst:
+  substitutions:
+    params_vars_title: GRE Scores, Part II
+    params_sigma: 7.63
+    params_mu: 151
+    params_section: quantitative
+    params_percentile: 45
+    params_dis: 150.04120392349577
+    params_z_score: -0.12566134685507402
+---
+# {{ params_vars_title }}
+The distribution of the {{params_section}} part of the GRE exam is $$N(\mu={{params_mu}},\sigma={{params_sigma}})$$.
+
+## Part 1
+
+Compute the score of a student who scored in the $${{params_percentile}} ^{th}$$ percentile on the {{params_section}}  section.
+
+## Attribution
+
+Problem is licensed under the [CC-BY-NC-SA 4.0 license](https://creativecommons.org/licenses/by-nc-sa/4.0/).<br> ![The Creative Commons 4.0 license requiring attribution-BY, non-commercial-NC, and share-alike-SA license.](https://raw.githubusercontent.com/firasm/bits/master/by-nc-sa.png)
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diff --git a/content/public/unsorted/q0415/q0415.md b/content/public/unsorted/q0415/q0415.md
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----
-title: Bernoulli, the mean
-topic: Template
-author: Larry Gu
-source: original
-template_version: 1.4
-attribution: openintro-stats
-partialCredit: true
-singleVariant: false
-showCorrectAnswer: false
-outcomes:
-- 6.1.1.0
-- 6.1.1.1
-difficulty:
-- undefined
-randomization:
-- undefined
-taxonomy:
-- undefined
-span:
-- undefined
-length:
-- undefined
-tags:
-- L. G.
-assets: null
-part1:
-  type: symbolic-input
-  pl-customizations:
-    label: $E(X) = $
-    variables: E, p, X
-    weight: 1
-    allow-blank: false
-myst:
-  substitutions:
-    params_vars_title: Bernoulli, the mean
----
-# {{ params_vars_title }}
-
-## Question Text
-
-Recall from Section 3.4, we calculate the expected value of a discrete random variable with the following formula:
-
-$$ E(X) =  \sum\_{i=1}^k x_i P(X=x_i)$$
-
-Use this probability rule to derive the mean of a Bernoulli random variable, i.e. a random variable $$X$$ that takes value $$1$$ with probability $$p$$ and value $$0$$ with probability $$1 - p$$. That is, compute the expected value of a generic Bernoulli random variable.
-
-### Answer Section
-
-## Attribution
-
-Problem is from the [OpenIntro Statistics](https://openintro.org/book/os/) textbook, licensed under the [CC-BY 4.0 license](https://creativecommons.org/licenses/by/4.0/).<br>![Image representing the Creative Commons 4.0 BY license.](https://raw.githubusercontent.com/firasm/bits/master/by.png)
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