GitHub Action pushing new questions

content/public/001.Introduction to Data/Topic Outcome/1_1_case_study_using_stents_to_prevent_strokes_q1_1/1_1_case_study_using_stents_to_prevent_strokes_q1_1.md

@@ -62,17 +62,17 @@ myst:
         title: Migraine and acupuncture, Part I
       table0:
         r2:
-          c2: 10
-          c3: 40
-          c4: 50
+          c2: 12
+          c3: 37
+          c4: 49
         r3:
-          c2: 6
-          c3: 44
-          c4: 50
+          c2: 5
+          c3: 41
+          c4: 46
         r4:
-          c2: 16
-          c3: 84
-          c4: 100
+          c2: 17
+          c3: 78
+          c4: 95
       part1:
         num1: 24.0
       part3:
@@ -90,12 +90,12 @@ myst:
       part4:
         num1: 24.0
       description:
-        num1: 100
-        num2: 50
-        num3: 50
+        num1: 95
+        num2: 49
+        num3: 46
         num4: 24.0
-      part1_ans_before_convert: 0.2
-      part2_ans_before_convert: 0.12
+      part1_ans_before_convert: 0.245
+      part2_ans_before_convert: 0.109
 ---
 # {{ params.vars.title }}
 A migraine is a particularly painful type of headache, which patients sometimes wish to treat with acupuncture. To determine whether acupuncture relieves migraine pain, researchers conducted a randomized controlled study where ${{ params.description.num1 }}$ females diagnosed with migraine headaches were randomly assigned to one of two groups: treatment or control. ${{ params.description.num2 }}$ patients in the treatment group received acupuncture that is specifically designed to treat migraines. ${{ params.description.num3 }}$ patients in the control group received placebo acupuncture (needle insertion at non-acupoint locations). ${{ params.description.num4 }}$ hours after patients received acupuncture, they were asked if they were pain free. Results are summarized in the contingency table below.

content/public/001.Introduction to Data/Topic Outcome/1_3_sampling_principles_and_strategies_q1_17/1_3_sampling_principles_and_strategies_q1_17.md

@@ -35,10 +35,10 @@ myst:
       vars:
         title: Relaxing after work
       part3:
-        num1: 1.98
+        num1: 2.36
       description:
-        num1: 1094
-        num2: 1.98
+        num1: 1158
+        num2: 2.36
       part1:
         option1:
           value: Observation
@@ -59,7 +59,7 @@ myst:
           value: Number of hours spent relaxing after an average work day.
           matches: option2
         statement3:
-          value: 1.98
+          value: 2.36
           matches: option3
         statement4:
           value: Average number of hours all Americans spend relaxing after an average

content/public/001.Introduction to Data/Topic Outcome/2_1_examining_numerical_data_q2_5/2_1_examining_numerical_data_q2_5.md

@@ -36,20 +36,22 @@ myst:
         title: Parameters and statistics
       part1:
         option1:
-          value: 2001
+          value: 2007
         option2:
-          value: 172
+          value: 2008
         option3:
-          value: 10
+          value: 1600
         statement1:
           value: Claimed population mean
-          matches: '3.73'
+          matches: '51'
         statement2:
           value: Sample mean
-          matches: '4.33'
-      question1: The average GPA of students in 2001 at a private university was 3.73.
-        A survey on a sample of 172 students from this university yielded an average
-        GPA of 4.33 a decade later.
+          matches: '62'
+      question1: American households spent an average of about $51 in 2007 on Halloween
+        merchandise such as costumes, decorations and candy. To see if this number
+        had changed, researchers conducted a new survey in 2008 before industry numbers
+        were reported. The survey included 1600 households and found that average
+        Halloween spending was $62 per household.
 ---
 # {{ params.vars.title }}
 Identify which value represents the sample mean and which value represents the claimed population mean.

content/public/001.Introduction to Data/openstax_C1_Q63/openstax_C1_Q63.md

@@ -32,20 +32,19 @@ myst:
     params:
       vars:
         title: San Jose Park Use
-        every: 7
+        every: 6
       part1:
-        measurement: Age
+        measurement: Number of times per week
         ans1:
           value: qualitative
           feedback: Try again please!
         ans2:
           value: quantitative discrete
-          feedback: Not quite, it is quantitative, but the this is a continuous measurement,
-            fractional values are valid inside the domain of possible values. Try
-            again!
+          feedback: Great! You got it.
         ans3:
           value: quantitative continuous
-          feedback: Great! You got it.
+          feedback: Not quite, it is quantitative, but the a count of something is
+            not a continuous measurement. Try again!
 ---
 # {{ params.vars.title }}
 A study was done to determine the occupation, age, number of times per week, and the duration (amount of time) of resident use of a local park in San Jose. The first house in the neighborhood around the park was selected randomly and then every {{ params.vars.every }}$^{th}$ house in the neighborhood around the park was interviewed.

content/public/001.Introduction to Data/openstax_C1_Q65/openstax_C1_Q65.md

@@ -40,10 +40,10 @@ myst:
     params:
       vars:
         title: Babies on Airplanes
-        flights: seven
+        flights: nine
       part1:
         ans1:
-          value: The survey was conducted using seven similar flights.
+          value: The survey was conducted using nine similar flights.
           feedback: Correct!
         ans2:
           value: The survey would not be a true representation of the entire population

content/public/002.Summarizing Data/Topic Outcome/Q2.15_Distributions_and_Appropriate_Statistics/Q2.15_Distributions_and_Appropriate_Statistics.md

@@ -41,8 +41,8 @@ myst:
     params:
       vars:
         title: Distributions and Appropriate Statistics
-        animal: hamster
-        place: the nearest hardware store
+        animal: human
+        place: the nearest park
         thing: electronics
         Question: a) Would you expect the number of electronics per household to be
           symmetric, right skewed, or left skewed?
@@ -53,15 +53,15 @@ myst:
             few people have many electronicss.'
           feedback: Correct, awesome work
         ans2:
-          value: 'Left skewed: The distribution of number of hamsters per household
+          value: 'Left skewed: The distribution of number of humans per household
             is likely left skewed as there is a natural boundary at 0 and only a few
-            people have many hamsters.'
+            people have many humans.'
           feedback: Not quite, the reasoning here is mostly correct, think over what
             it means for a graph to be left skewed
         ans3:
-          value: 'Symmetric skewed: The distribution of number of hamsters per household
+          value: 'Symmetric skewed: The distribution of number of humans per household
             is likely symmetric as there is a natural boundary at 0 and only a few
-            people have many hamsters.'
+            people have many humans.'
           feedback: Not quite, the reasoning here is mostly correct, think over what
             it means for a graph to be symmetric
       part2:

content/public/002.Summarizing Data/Topic Outcome/Q2.19a)_Commute_Times/Q2.19a)_Commute_Times.md

@@ -43,21 +43,22 @@ myst:
         title: Commute Times
       part1:
         ans1:
-          value: The Median of the distribution is about 25 min
+          value: The distribution is Unimodal
           feedback: Correct, good job
         ans2:
-          value: The distribution is Unimodal
+          value: The distribution is Uniform
           feedback: Correct, good job
         ans3:
-          value: The distribution is Right Skewed
-          feedback: What does it mean for a graph to be Right Skewed?
+          value: The Standard deviation is about 1 min
+          feedback: Sorry, this is not a very good estimate of the standard deviation
+            try again
         ans4:
+          value: The distribution is trimodal
+          feedback: Not quite, what does tri mean
+        ans5:
           value: The distribution is Bimodal
           feedback: Not quite, what does bi mean in math (look up the definition if
             it is unfamiliar)
-        ans5:
-          value: The distribution is trimodal
-          feedback: Not quite, what does tri mean
         ans6:
           value: The Standard deviation is about 10 min
           feedback: Sorry, this is not a very good estimate of the standard deviation
@@ -68,28 +69,28 @@ myst:
             is not necessary
           feedback: Correct, good job
         ans2:
-          value: Since the distribution is already bimodal and right skewed, a log
+          value: Since the distribution is trimodal and right skewed, a log transformation
+            would be beneficial to reduce the skewing of the data
+          feedback: What does it mean if a graph is right right skewed or trimodal?
+        ans3:
+          value: Since the distribution is already trimodal and left skewed, a log
             transformation is not necessary
-          feedback: What does it mean if a graph is right skewed, bimodal, and when
+          feedback: What does it mean if a graph is left skewed, trimodal, and when
             should you do a log transformation?
-        ans3:
-          value: Since the distribution is bimodal and right skewed, a log transformation
-            would be beneficial to reduce the skewing of the data
-          feedback: What does it mean if a graph is right skewed or bimodal?
         ans4:
           value: Since the distribution is already trimodal and right skewed, a log
             transformation is not necessary
           feedback: What does it mean if a graph is right skewed, trimodal, and when
             should you do a log transformation?
         ans5:
-          value: Since the distribution is bimodal and left skewed, a log transformation
-            would be beneficial to reduce the skewing of the data
-          feedback: What does it mean if a graph is left skewed or bimodal?
-        ans6:
-          value: Since the distribution is already bimodal and left skewed, a log
+          value: Since the distribution is already bimodal and right skewed, a log
             transformation is not necessary
-          feedback: What does it mean if a graph is left skewed, bimodal, and when
+          feedback: What does it mean if a graph is right skewed, bimodal, and when
             should you do a log transformation?
+        ans6:
+          value: Since the distribution is trimodal and left skewed, a log transformation
+            would be beneficial to reduce the skewing of the data
+          feedback: What does it mean if a graph is left skewed or trimodal?
 ---
 # {{ params.vars.title }}
 The US census collects data on time it takes Americans to commute to work, among many other variables.

content/public/002.Summarizing Data/Topic Outcome/Q2.21_Antibiodic_use_in_Children/Q2.21_Antibiodic_use_in_Children.md

@@ -45,38 +45,38 @@ myst:
             chart
           feedback: Correct good job
         ans2:
-          value: The pie chart shows what the highest relative frequency is
-          feedback: This is also visible in the bar graph
+          value: The pie chart gives a conclusion whereas the bar graph does not
+          feedback: Nice try, but the pie chart does not give a conclusion, it is
+            only a representation of the data
         ans3:
-          value: We can see the relative frequencies in the pie chart
-          feedback: This is not possible in the pie chart
+          value: The pie chart shows what the lowest relative frequency is
+          feedback: This is also visible in the bar graph
         ans4:
           value: The pie chart is much more visually appealing than the bar graph
           feedback: This is not objective
         ans5:
-          value: The pie chart gives a conclusion whereas the bar graph does not
-          feedback: Nice try, but the pie chart does not give a conclusion, it is
-            only a representation of the data
+          value: We can see the relative frequencies in the pie chart
+          feedback: This is not possible in the pie chart
       part2:
         ans1:
           value: A bar graph is usually a better choice as we can also see the relative
             frequencies of the categories in this graph.
           feedback: Correct good job
         ans2:
-          value: They are both equally
-          feedback: Not quite consider the answer to part 1
-        ans3:
           value: A pie chart is usually a better choice as we can also see the relative
             frequencies of the categories in this graph.
           feedback: Not quite, consider the answer to part 1
+        ans3:
+          value: There is not enough information to tell
+          feedback: Not quite there is enough information, consider your answer to
+            part 1
         ans4:
           value: I have no idea
           feedback: Being honest is good, but you need to find the answer, take a
             look at part 1 and have a look at the axis labels on the bar chart
         ans5:
-          value: There is not enough information to tell
-          feedback: Not quite there is enough information, consider your answer to
-            part 1
+          value: They are both equally
+          feedback: Not quite consider the answer to part 1
 ---
 # {{ params.vars.title }}
 The bar graph and the pie chart below show a distribution of several categories that could be observed.

content/public/002.Summarizing Data/Topic Outcome/Q2.27_Make_up_Exam/Q2.27_Make_up_Exam.md

@@ -49,8 +49,8 @@ myst:
         '#ofpeople': 40
         '#ofpeoplem1': 39
         average: 79
-        new: 46
-        sd: 9.0
+        new: 62
+        sd: 8.0
       part1:
         ans1:
           value: Decrease

content/public/002.Summarizing Data/Topic Outcome/Q2.29_TV_Watchers/Q2.29_TV_Watchers.md

@@ -32,8 +32,8 @@ myst:
     params:
       vars:
         title: TV_Watchers
-        ave_time: 4.77
-        sd: 5.03
+        ave_time: 5.26
+        sd: 4.81
       part1:
         ans1:
           value: No, I would expect the distribution to be right skewed as the number
@@ -42,22 +42,23 @@ myst:
             the mean which further suggests that the data is skewed.
           feedback: Correct good job
         ans2:
+          value: 'Yes: the natural boundaries at zero and 24, along with a relatively
+            manageable standard deviation are strong indicators that this distribution
+            is symmetric'
+          feedback: Not quite, there is not a good natural boundary at 24 as no one
+            would default to watching 24 hours of TV in a day
+        ans3:
+          value: 'Yes: the standard deviation being fairly close in size to the mean
+            indicates that this is probably a symmetric distribution'
+          feedback: Not quite, try again
+        ans4:
           value: No, I would expect the distribution to be left skewed, there is a
             natural boundary of 24 hours and very few people watch less than a certain
             number of hours of TV each day; also, the standard deviation is quite
             high in relation the mean which further suggests that the data is skewed.
           feedback: 'Note: the default number of hours watched in a day is not 24
             hours, not to mention very few people would have the time to watch lots
             of TV'
-        ans3:
-          value: Not enough information to tell
-          feedback: nice try, but there is enough information here
-        ans4:
-          value: 'Yes: the natural boundaries at zero and 24, along with a relatively
-            manageable standard deviation are strong indicators that this distribution
-            is symmetric'
-          feedback: Not quite, there is not a good natural boundary at 24 as no one
-            would default to watching 24 hours of TV in a day
 ---
 # {{ params.vars.title }}
 Students in an AP Statistics class were asked how many hours of television they watch per week (including online streaming).