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

@@ -63,16 +63,16 @@ myst:
       table0:
         r2:
           c2: 15
-          c3: 31
-          c4: 46
+          c3: 35
+          c4: 50
         r3:
           c2: 6
-          c3: 39
-          c4: 45
+          c3: 43
+          c4: 49
         r4:
           c2: 21
-          c3: 70
-          c4: 91
+          c3: 78
+          c4: 99
       part1:
         num1: 24.0
       part3:
@@ -90,12 +90,12 @@ myst:
       part4:
         num1: 24.0
       description:
-        num1: 91
-        num2: 46
-        num3: 45
+        num1: 99
+        num2: 50
+        num3: 49
         num4: 24.0
-      part1_ans_before_convert: 0.326
-      part2_ans_before_convert: 0.133
+      part1_ans_before_convert: 0.3
+      part2_ans_before_convert: 0.122
 ---
 # {{ 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: 1.99
+        num1: 2.01
       description:
-        num1: 1497
-        num2: 1.99
+        num1: 1272
+        num2: 2.01
       part1:
         option1:
           value: Observation
@@ -59,7 +59,7 @@ myst:
           value: Number of hours spent relaxing after an average work day.
           matches: option2
         statement3:
-          value: 1.99
+          value: 2.01
           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: 288
+          value: 2008
         option3:
-          value: 10
+          value: 1500
         statement1:
           value: Claimed population mean
-          matches: '3.61'
+          matches: '50'
         statement2:
           value: Sample mean
-          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.
+          matches: '56'
+      question1: American households spent an average of about $50 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 1500 households and found that average
+        Halloween spending was $56 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

@@ -34,7 +34,7 @@ myst:
         title: San Jose Park Use
         every: 7
       part1:
-        measurement: Duration (amount of time)
+        measurement: Age
         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: seven
+        flights: six
       part1:
         ans1:
-          value: The survey was conducted using seven similar flights.
+          value: The survey was conducted using six 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

@@ -41,36 +41,33 @@ myst:
     params:
       vars:
         title: Distributions and Appropriate Statistics
-        animal: rabbit
-        place: work
+        animal: cat
+        place: the nearest bank
         thing: electronics
-        Question: a) Would you expect the number of electronics per household to be
-          symmetric, right skewed, or left skewed?
+        Question: a) Would you expect the heights of adult male cats to be symmetric,
+          right skewed, or left skewed?
       part1:
         ans1:
-          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
+          value: The distribution of heights of adult male cats is likely right skewed
+          feedback: Not quite, as a hint consider how many tall people there are to
+            how many short people there are and are the majority of people of average
+            height?
         ans2:
-          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
+          value: The distribution of heights of adult male cats is likely left skewed
+          feedback: Not quite, as a hint consider how many tall people there are to
+            how many short people there are and are the majority of people of average
+            height?
         ans3:
-          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
+          value: The distribution of heights of adult male cats is likely symmetric
+          feedback: Correct, awesome work
       part2:
         ans1:
           value: The mean
-          feedback: Not quite, consider the answer to part a)
+          feedback: Awesome work
         ans2:
           value: The median
-          feedback: Awesome work
+          feedback: Not quite, consider the answer to part a), note that the data
+            is not heavily skewed
         ans3:
           value: There is not enough information to tell
           feedback: There is enough information this time, consider the answer to
@@ -81,10 +78,10 @@ myst:
       part3:
         ans1:
           value: Standard Deviation
-          feedback: Not quite, consider the answer to part b)
+          feedback: Awesome Work
         ans2:
           value: IQR
-          feedback: Awesome work
+          feedback: Not quite, consider the answer to b)
         ans3:
           value: There is not enough information to tell
           feedback: There is enough information this time, consider the answer to

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

@@ -49,46 +49,47 @@ myst:
           value: The Standard Deviation is about 5 min
           feedback: Correct, good job
         ans3:
-          value: The distribution has a median of about 18 min
-          feedback: Remember a median is the observation in the middle
+          value: The distribution is Left Skewed
+          feedback: What does it mean for a graph to be Left Skewed?
         ans4:
+          value: The distribution is trimodal
+          feedback: Not quite, what does tri mean
+        ans5:
           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 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
+          value: The distribution is Bimodal
+          feedback: Not quite, what does bi mean in math (look up the definition if
+            it is unfamiliar)
       part2:
         ans1:
           value: Since the distribution is already unimodal and symmetric, a log transformation
             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 already bimodal 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, bimodal, and when
             should you do a log transformation?
         ans3:
-          value: Since the distribution is trimodal and left skewed, a log transformation
+          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 trimodal?
+          feedback: What does it mean if a graph is left skewed or bimodal?
         ans4:
-          value: Since the distribution is already trimodal and right 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 right skewed, trimodal, and when
+          feedback: What does it mean if a graph is right skewed, bimodal, and when
             should you do a log transformation?
         ans5:
-          value: Since the distribution is already bimodal and left skewed, a log
+          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, bimodal, and when
+          feedback: What does it mean if a graph is left skewed, trimodal, and when
             should you do a log transformation?
         ans6:
-          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?
 ---
 # {{ params.vars.title }}

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

@@ -38,44 +38,44 @@ myst:
     params:
       vars:
         title: Antibiotic use in children
-        question: What features are apparent in the bar graph but not in the pie chart?
+        question: What features are apparent in the pie chart but not in the bar graph?
       part1:
         ans1:
-          value: ' We see the order of the categories'
+          value: There is nothing visible in the bar graph that is not in the pie
+            chart
           feedback: Correct good job
         ans2:
-          value: We can see the relative frequencies in the bar graph
-          feedback: Correct good job
+          value: The pie chart shows what the highest relative frequency is
+          feedback: This is also visible in the bar graph
         ans3:
-          value: There is nothing visible in the bar graph that is not in the pie
-            chart
-          feedback: Nice try, have another look
+          value: The pie chart shows what the lowest relative frequency is
+          feedback: This is also visible in the bar graph
         ans4:
-          value: The bar graph shows what the lowest relative frequency is
-          feedback: This is also visible in the pie chart
+          value: We see the order of the categories
+          feedback: this is not easily apparent in the pie chart
         ans5:
-          value: The bar graph is much more visually appealing than the pie chart
-          feedback: this is not objective
+          value: The pie chart is much more visually appealing than the bar graph
+          feedback: This is not objective
       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
+          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
+        ans4:
+          value: They are both equally
+          feedback: Not quite consider the answer to part 1
         ans5:
-          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
+          value: There is not enough information to tell
+          feedback: Not quite there is enough information, consider your 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

@@ -46,11 +46,11 @@ myst:
     params:
       vars:
         title: Make up Exam
-        '#ofpeople': 40
-        '#ofpeoplem1': 39
-        average: 80
-        new: 88
-        sd: 8.3
+        '#ofpeople': 41
+        '#ofpeoplem1': 40
+        average: 72
+        new: 90
+        sd: 8.4
       part1:
         ans1:
           value: Increase
@@ -66,8 +66,8 @@ myst:
           feedback: Not quite
       part3:
         ans1:
-          value: Decrease
-          feedback: Correct, the new score is less than 1 standard deviation from
+          value: Increase
+          feedback: Correct, the new score is greater 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: Increase
+          value: Decrease
           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: 5.28
-        sd: 5.35
+        ave_time: 4.59
+        sd: 3.63
       part1:
         ans1:
           value: No, I would expect the distribution to be right skewed as the number
@@ -42,20 +42,21 @@ myst:
             the mean which further suggests that the data is skewed.
           feedback: Correct good job
         ans2:
-          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
-        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
+        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
+          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'
 ---
 # {{ params.vars.title }}
 Students in an AP Statistics class were asked how many hours of television they watch per week (including online streaming).