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: 11
-          c3: 35
+          c2: 15
+          c3: 31
           c4: 46
         r3:
-          c2: 2
-          c3: 48
-          c4: 50
+          c2: 6
+          c3: 39
+          c4: 45
         r4:
-          c2: 13
-          c3: 83
-          c4: 96
+          c2: 21
+          c3: 70
+          c4: 91
       part1:
         num1: 24.0
       part3:
@@ -90,12 +90,12 @@ myst:
       part4:
         num1: 24.0
       description:
-        num1: 96
+        num1: 91
         num2: 46
-        num3: 50
+        num3: 45
         num4: 24.0
-      part1_ans_before_convert: 0.239
-      part2_ans_before_convert: 0.04
+      part1_ans_before_convert: 0.326
+      part2_ans_before_convert: 0.133
 ---
 # {{ 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: 1.42
+        num1: 1.99
       description:
-        num1: 1135
-        num2: 1.42
+        num1: 1497
+        num2: 1.99
       part1:
         option1:
           value: Observation
@@ -59,7 +59,7 @@ myst:
           value: Number of hours spent relaxing after an average work day.
           matches: option2
         statement3:
-          value: 1.42
+          value: 1.99
           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

@@ -36,22 +36,20 @@ myst:
         title: Parameters and statistics
       part1:
         option1:
-          value: 2007
+          value: 2001
         option2:
-          value: 2008
+          value: 288
         option3:
-          value: 1600
+          value: 10
         statement1:
           value: Claimed population mean
-          matches: '53'
+          matches: '3.61'
         statement2:
           value: Sample mean
-          matches: '56'
-      question1: American households spent an average of about $53 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 $56 per household.
+          matches: '3.71'
+      question1: The average GPA of students in 2001 at a private university was 3.61.
+        A survey on a sample of 288 students from this university yielded an average
+        GPA of 3.71 a decade later.
 ---
 # {{ 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

@@ -32,9 +32,9 @@ myst:
     params:
       vars:
         title: San Jose Park Use
-        every: 9
+        every: 7
       part1:
-        measurement: Age
+        measurement: Duration (amount of time)
         ans1:
           value: qualitative
           feedback: Try again please!

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: nine
+        flights: seven
       part1:
         ans1:
-          value: The survey was conducted using nine similar flights.
+          value: The survey was conducted using seven 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

@@ -41,27 +41,27 @@ myst:
     params:
       vars:
         title: Distributions and Appropriate Statistics
-        animal: human
-        place: school
+        animal: rabbit
+        place: work
         thing: electronics
-        Question: a) Would you expect the distance to school, i.e. number of miles
-          between school and home to be symmetric, right skewed, or left skewed?
+        Question: a) Would you expect the number of electronics per household to be
+          symmetric, right skewed, or left skewed?
       part1:
         ans1:
-          value: 'Right skewed: The distribution of number of distance to school is
-            likely right skewed as there is a natural boundary at 0 and only a few
-            people live a very long distance from school.'
+          value: 'Right skewed: The distribution of number of electronicss per household
+            is likely right skewed as there is a natural boundary at 0 and only a
+            few people have many electronicss.'
           feedback: Correct, awesome work
         ans2:
-          value: 'Left skewed: The distribution of number of distance to school is
-            likely left skewed as there is a natural boundary at 0 and only a few
-            people live a very long distance from school.'
+          value: 'Left skewed: The distribution of number of rabbits per household
+            is likely left skewed as there is a natural boundary at 0 and only a few
+            people have many rabbits.'
           feedback: Not quite, the reasoning here is mostly correct, think over what
             it means for a graph to be left skewed
         ans3:
-          value: 'Symmetric: The distribution of number of distance to school is likely
-            symmetric as there is a natural boundary at 0 and only a few people live
-            a very long distance from school.'
+          value: 'Symmetric skewed: The distribution of number of rabbits per household
+            is likely symmetric as there is a natural boundary at 0 and only a few
+            people have many rabbits.'
           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

@@ -43,23 +43,24 @@ myst:
         title: Commute Times
       part1:
         ans1:
-          value: The distribution is Unimodal
+          value: The Median of the distribution is about 25 min
           feedback: Correct, good job
         ans2:
           value: The Standard Deviation is about 5 min
           feedback: Correct, good job
         ans3:
-          value: The distribution is Right Skewed
-          feedback: What does it mean for a graph to be Right Skewed?
-        ans4:
-          value: The distribution has a median of about 30 min
+          value: The distribution has a median of about 18 min
           feedback: Remember a median is the observation in the middle
+        ans4:
+          value: The Standard deviation is about 1 min
+          feedback: Sorry, this is not a very good estimate of the standard deviation
+            try again
         ans5:
-          value: The distribution is Left Skewed
-          feedback: What does it mean for a graph to be Left Skewed?
-        ans6:
           value: The distribution is trimodal
           feedback: Not quite, what does tri mean
+        ans6:
+          value: The distribution has a median of about 30 min
+          feedback: Remember a median is the observation in the middle
       part2:
         ans1:
           value: Since the distribution is already unimodal and symmetric, a log transformation
@@ -71,22 +72,24 @@ myst:
           feedback: What does it mean if a graph is right skewed, bimodal, and when
             should you do a log transformation?
         ans3:
-          value: Since the distribution is bimodal and right skewed, a log transformation
+          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 right skewed or bimodal?
+          feedback: What does it mean if a graph is left skewed or trimodal?
         ans4:
-          value: Since the distribution is already trimodal and left skewed, a log
+          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 left skewed, trimodal, and when
+          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 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?
+          value: Since the distribution is already bimodal and left skewed, a log
+            transformation is not necessary
+          feedback: What does it mean if a graph is left skewed, bimodal, and when
+            should you do a log transformation?
         ans6:
-          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?
+          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 left skewed, trimodal, and when
+            should you do a log transformation?
 ---
 # {{ 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

@@ -47,9 +47,9 @@ myst:
           value: We can see the relative frequencies in the bar graph
           feedback: Correct good job
         ans3:
-          value: The bar graph gives a conclusion whereas the pie chart does not
-          feedback: Nice try, but the bar graph does not give a conclusion, it is
-            only a representation of the data
+          value: There is nothing visible in the bar graph that is not in the pie
+            chart
+          feedback: Nice try, have another look
         ans4:
           value: The bar graph shows what the lowest relative frequency is
           feedback: This is also visible in the pie chart

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

@@ -46,11 +46,11 @@ myst:
     params:
       vars:
         title: Make up Exam
-        '#ofpeople': 48
-        '#ofpeoplem1': 47
-        average: 62
-        new: 72
-        sd: 9.0
+        '#ofpeople': 40
+        '#ofpeoplem1': 39
+        average: 80
+        new: 88
+        sd: 8.3
       part1:
         ans1:
           value: Increase
@@ -66,8 +66,8 @@ myst:
           feedback: Not quite
       part3:
         ans1:
-          value: Increase
-          feedback: Correct, the new score is greater than 1 standard deviation from
+          value: Decrease
+          feedback: Correct, the new score is less than 1 standard deviation from
             the old mean so the standard deviation will increase
         ans2:
           value: Not enough information to tell
@@ -76,7 +76,7 @@ myst:
           value: Stay the same
           feedback: Not quiet
         ans4:
-          value: Decrease
+          value: Increase
           feedback: Not quite
 ---
 # {{ params.vars.title }}

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: 4.22
-        sd: 5.42
+        ave_time: 5.28
+        sd: 5.35
       part1:
         ans1:
           value: No, I would expect the distribution to be right skewed as the number
@@ -42,20 +42,20 @@ 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:
+        ans3:
           value: No, there is not enough information to tell whether the distribution
             is right or left skewed, but the high standard deviation in comparison
             to the mean does indicate that the distribution is not likely symmetric
           feedback: Not quite, but good try
+        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).