|
|
@@ -610,9 +610,9 @@
|
|
|
"cell_type": "markdown",
|
|
|
"metadata": {},
|
|
|
"source": [
|
|
|
- "## Recycled questions\n",
|
|
|
+ "## Recycled Questions\n",
|
|
|
"\n",
|
|
|
- "On average, the answer only makes up for about `6%` of the question. This isn't a huge number, and means that we probably can't just hope that hearing a question will enable us to figure out the answer. We'll probably have to study."
|
|
|
+ "On average, the answer only makes up for about `6%` of the question. This isn't a huge number, and it means that we probably can't just hope that hearing a question will enable us to determine the answer. We'll probably have to study."
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
@@ -658,9 +658,8 @@
|
|
|
"cell_type": "markdown",
|
|
|
"metadata": {},
|
|
|
"source": [
|
|
|
- "## Low value vs high value questions\n",
|
|
|
- "\n",
|
|
|
- "There is about `70%` overlap between terms in new questions and terms in old questions. This only looks at a small set of questions, and it doesn't look at phrases, it looks at single terms. This makes it relatively insignificant, but it does mean that it's worth looking more into the recycling of questions."
|
|
|
+ "## Low Value vs. High Value Questions\n",
|
|
|
+ "There is about a `70%` overlap between terms in new questions and terms in old questions. This only looks at a small set of questions, and it doesn't look at phrases — it looks at single terms. This makes it relatively insignificant, but it does mean that it's worth looking more into the recycling of questions."
|
|
|
]
|
|
|
},
|
|
|
{
|
|
|
@@ -785,9 +784,9 @@
|
|
|
"cell_type": "markdown",
|
|
|
"metadata": {},
|
|
|
"source": [
|
|
|
- "## Chi-squared results\n",
|
|
|
+ "## Chi-Squared Results\n",
|
|
|
"\n",
|
|
|
- "None of the terms had a significant difference in usage between high value and low value rows. Additionally, the frequencies were all lower than `5`, so the chi-squared test isn't as valid. It would be better to run this test with only terms that have higher frequencies."
|
|
|
+ "None of the terms had a significant difference in usage between high value and low value rows. Additionally, the frequencies were all lower than `5`, so the chi-squared test isn't as valid. It would be better to run this test with only terms that have higher frequencies."
|
|
|
]
|
|
|
}
|
|
|
],
|
|
|
@@ -807,7 +806,7 @@
|
|
|
"name": "python",
|
|
|
"nbconvert_exporter": "python",
|
|
|
"pygments_lexer": "ipython3",
|
|
|
- "version": "3.7.6"
|
|
|
+ "version": "3.8.5"
|
|
|
}
|
|
|
},
|
|
|
"nbformat": 4,
|
darinbradley