diff --git a/content/public/007.Inference for numerical data/Topic Outcome/openstat_q7_15/openstat_q7_15.md b/content/public/007.Inference for numerical data/Topic Outcome/openstat_q7_15/openstat_q7_15.md
index 215479d5..87394283 100644
--- a/content/public/007.Inference for numerical data/Topic Outcome/openstat_q7_15/openstat_q7_15.md
+++ b/content/public/007.Inference for numerical data/Topic Outcome/openstat_q7_15/openstat_q7_15.md
@@ -53,8 +53,8 @@ myst:
of the air quality in another city at another time point.
feedback: Correct!
country_capitals: 26
- year_1: 2009
- year_2: 2014
+ year_1: 2012
+ year_2: 2017
selected_scenario: but in a different set of cities
---
# {{ params.vars.title }}
diff --git a/content/public/007.Inference for numerical data/Topic Outcome/openstat_q7_17/openstat_q7_17.md b/content/public/007.Inference for numerical data/Topic Outcome/openstat_q7_17/openstat_q7_17.md
index 7fc53524..c6b8187c 100644
--- a/content/public/007.Inference for numerical data/Topic Outcome/openstat_q7_17/openstat_q7_17.md
+++ b/content/public/007.Inference for numerical data/Topic Outcome/openstat_q7_17/openstat_q7_17.md
@@ -44,26 +44,26 @@ myst:
params:
vars:
title: Paired or not? Part I
- selected_scenario_part1: Assess gender-related salary gap by comparing salaries
- of randomly sampled men and women.
+ selected_scenario_part1: Measure changes in blood pressure before and after
+ a 6-month exercise program for the same individuals.
part1:
ans1:
value: Paired.
- feedback: Incorrect!
+ feedback: Correct!
ans2:
value: Not paired.
- feedback: Correct!
- selected_scenario_part2: Examine age-related wage disparities by comparing the
- earnings of younger and older employees in a company.
+ feedback: Incorrect!
+ selected_scenario_part2: Evaluate the effects of a meditation program on stress
+ levels by comparing measurements before and after the program duration.
part2:
ans1:
value: Paired.
- feedback: Incorrect!
+ feedback: Correct!
ans2:
value: Not paired.
- feedback: Correct!
- selected_scenario_part3: Compare literacy levels at the start and end of a year-long
- reading program for the same group of participants.
+ feedback: Incorrect!
+ selected_scenario_part3: Compare pre-test (beginning of semester) and post-test
+ (end of semester) scores of students.
part3:
ans1:
value: Paired.
@@ -71,8 +71,8 @@ myst:
ans2:
value: Not paired.
feedback: Incorrect!
- selected_scenario_part4: Evaluate sleep quality improvements by comparing scores
- before and after using a new type of mattress for the same subjects.
+ selected_scenario_part4: Evaluate the improvement in programming skills by comparing
+ test scores before and after a coding bootcamp.
part4:
ans1:
value: Paired.
diff --git a/content/public/007.Inference for numerical data/Topic Outcome/openstat_q7_19/openstat_q7_19.md b/content/public/007.Inference for numerical data/Topic Outcome/openstat_q7_19/openstat_q7_19.md
index 94974e7e..e42c420c 100644
--- a/content/public/007.Inference for numerical data/Topic Outcome/openstat_q7_19/openstat_q7_19.md
+++ b/content/public/007.Inference for numerical data/Topic Outcome/openstat_q7_19/openstat_q7_19.md
@@ -142,37 +142,37 @@ myst:
value: Since the p-value is less than 0.05, we reject $H_0$. The data provide
strong evidence that NOAA stations observed more 90°F days in 2018 than
in 1948.
- feedback: Correct!
+ feedback: Incorrect!
ans2:
value: Since the p-value is greater than 0.05, we fail to reject $H_0$.
The data do not provide strong evidence that NOAA stations observed more
90°F days in 2018 than in 1948.
- feedback: Incorrect!
+ feedback: Correct!
part7:
ans1:
value: Type 1 Error, since we may have incorrectly rejected $H_0$. This
error would mean that NOAA stations did not actually observe a decrease,
but the sample we took just so happened to make it appear that this was
the case
- feedback: Correct!
+ feedback: Incorrect!
ans2:
value: Type II Error, since we may have failed to reject $H_0$ incorrectly.
This error would mean that NOAA stations did actually observe a decrease
in the number of 90°F days in 2018 compared to 1948, but the sample we
took was not able to provide enough evidence to demonstrate this decrease.
- feedback: Incorrect!
+ feedback: Correct!
part8:
ans1:
value: No, since we rejected $H_0$, which had a null value of 0.
- feedback: Correct!
+ feedback: Incorrect!
ans2:
value: Yes, since we failed to reject $H_0$, which suggests the average
difference between the number of days exceeding 90°F from 1948 and 2018
might include 0.
- feedback: Incorrect!
- sample_size: 209
- mean_difference: 3.0
- std_deviation: 18.0
+ feedback: Correct!
+ sample_size: 199
+ mean_difference: 2.2
+ std_deviation: 17.2
---
# {{ params.vars.title }}
Let's consider a limited set of climate data, examining temperature differences in 1948 vs 2018. We sampled {{ params.sample_size }} locations from the National Oceanic and Atmospheric Administration’s (NOAA) historical data, where the data was available for both years of interest. We want to know: were there more days with temperatures exceeding 90°F in 2018 or in 1948? The difference in number of days exceeding 90°F (number of days in 2018 - number of days in 1948) was calculated for each of the {{ params.sample_size }} locations. The average of these differences was {{ params.mean_difference }} days with a standard deviation of {{ params.std_deviation }} days. We are interested in determining whether these data provide strong evidence that there were more days in 2018 that exceeded 90°F from NOAA’s weather stations.
diff --git a/content/public/007.Inference for numerical data/Topic Outcome/openstat_q7_21/openstat_q7_21.md b/content/public/007.Inference for numerical data/Topic Outcome/openstat_q7_21/openstat_q7_21.md
index 797a7b36..d2898267 100644
--- a/content/public/007.Inference for numerical data/Topic Outcome/openstat_q7_21/openstat_q7_21.md
+++ b/content/public/007.Inference for numerical data/Topic Outcome/openstat_q7_21/openstat_q7_21.md
@@ -57,24 +57,24 @@ myst:
title: Global warming, Part II
part3:
ans1:
- value: We are 98% confident that there was an increase of [lower bound]
+ value: We are 84% confident that there was an increase of [lower bound]
to [upper bound] in the average number of days that hit 90°F in 2018 relative
to 1948 for NOAA stations.
feedback: Correct!
ans2:
- value: There is a 98% probability that the true average difference in the
+ value: There is a 84% probability that the true average difference in the
number of days exceeding 90°F between 1948 and 2018 lies between [lower
bound] and [upper bound].
feedback: Incorrect! This statement misinterprets the confidence interval
as a probability statement about the data rather than about the interval.
ans3:
- value: There is a 98% probability that the number of days exceeding 90°F
+ value: There is a 84% probability that the number of days exceeding 90°F
will be between [lower bound] and [upper bound] days higher in 2018 compared
to 1948 for all locations.
feedback: Incorrect! This statement suggests a predictive interpretation
of the confidence interval, which is not accurate.
ans4:
- value: There is a 98% probability that the observed average difference of
+ value: There is a 84% probability that the observed average difference of
days exceeding 90°F between 1948 and 2018 is exactly between [lower bound]
and [upper bound] days.
feedback: Incorrect! This statement misunderstands the confidence interval
@@ -87,10 +87,10 @@ myst:
ans2:
value: No, since the interval is not entirely lying above 0.
feedback: Try again please!
- sample_size: 193
- mean_difference: 2.9
- std_deviation: 15.6
- part1_confidence_level: 98
+ sample_size: 188
+ mean_difference: 3.2
+ std_deviation: 16.4
+ part1_confidence_level: 84
---
# {{ params.vars.title }}
Let's consider a limited set of climate data, examining temperature differences in 1948 vs 2018. We sampled {{ params.sample_size }} locations from the National Oceanic and Atmospheric Administration’s (NOAA) historical data, where the data was available for both years of interest. We considered the change in the number of days exceeding 90°F from 1948 and 2018 at {{ params.sample_size }} randomly sampled locations from the NOAA database. The mean and standard deviation of the reported differences are {{ params.mean_difference }} days and {{ params.std_deviation }} days.
diff --git a/content/public/007.Inference for numerical data/Topic Outcome/openstat_q7_25/openstat_q7_25.md b/content/public/007.Inference for numerical data/Topic Outcome/openstat_q7_25/openstat_q7_25.md
index 5309e23c..624799fb 100644
--- a/content/public/007.Inference for numerical data/Topic Outcome/openstat_q7_25/openstat_q7_25.md
+++ b/content/public/007.Inference for numerical data/Topic Outcome/openstat_q7_25/openstat_q7_25.md
@@ -96,12 +96,12 @@ myst:
value: The data suggest that there is no significant difference in the average
number of traffic accident-related emergency room admissions between Friday
the $6^{th}$ and Friday the $13^{th}$.
- feedback: Correct!
+ feedback: Incorrect!
ans2:
value: The data provide strong evidence that the average number of traffic
accident related emergency room admissions are different between Friday
the $6^{th}$ and Friday the $13^{th}$.
- feedback: Incorrect!
+ feedback: Correct!
ans3:
value: The results confirm with $100$% certainty that there are more accidents
on Friday the $6^{th}$ compared to Friday the $13^{th}$.
@@ -132,13 +132,13 @@ myst:
any reliable information about risks, so the study's conclusion is not
true.
feedback: Incorrect!
- x_bar_6th: 10.51
- x_bar_13th: 11.49
- x_bar_D: -0.98
- s_6th: 2.83
- s_13th: 2.8
- s_D: 3.06
- n: 6
+ x_bar_6th: 13.63
+ x_bar_13th: 16.36
+ x_bar_D: -2.73
+ s_6th: 4.15
+ s_13th: 1.09
+ s_D: 1.84
+ n: 8
table: |-
@@ -148,19 +148,19 @@ myst:
| diff |
| Mean |
- $10.51$ |
- $11.49$ |
- $-0.98$ |
+ $13.63$ |
+ $16.36$ |
+ $-2.73$ |
| SD |
- $2.83$ |
- $2.8$ |
- $3.06$ |
+ $4.15$ |
+ $1.09$ |
+ $1.84$ |
| n |
- $6$ |
- $6$ |
- $6$ |
+ $8$ |
+ $8$ |
+ $8$ |
---
diff --git a/content/public/007.Inference for numerical data/Topic Outcome/openstat_q7_3/openstat_q7_3.md b/content/public/007.Inference for numerical data/Topic Outcome/openstat_q7_3/openstat_q7_3.md
index 5a5e8007..32b9310d 100644
--- a/content/public/007.Inference for numerical data/Topic Outcome/openstat_q7_3/openstat_q7_3.md
+++ b/content/public/007.Inference for numerical data/Topic Outcome/openstat_q7_3/openstat_q7_3.md
@@ -42,15 +42,15 @@ myst:
vars:
title: Find the p-value, Part I
n: 8
- T: 2.45
- alpha: 0.1
+ T: 1.73
+ alpha: 0.05
part2:
ans1:
value: do not reject $H_0$
- feedback: Incorrect, try again!
+ feedback: Nice work!
ans2:
value: reject $H_0$
- feedback: Nice work!
+ feedback: Incorrect, try again!
---
# {{ params.vars.title }}
An independent random sample is selected from an approximately normal population with an unknown standard deviation.
diff --git a/content/public/007.Inference for numerical data/Topic Outcome/openstat_q7_41/openstat_q7_41.md b/content/public/007.Inference for numerical data/Topic Outcome/openstat_q7_41/openstat_q7_41.md
index dc1c20f0..6b767d64 100644
--- a/content/public/007.Inference for numerical data/Topic Outcome/openstat_q7_41/openstat_q7_41.md
+++ b/content/public/007.Inference for numerical data/Topic Outcome/openstat_q7_41/openstat_q7_41.md
@@ -51,10 +51,10 @@ myst:
vars:
title: GPA and major
df_factor: 2
- df_residual: 191
+ df_residual: 193
meansq_factor: 0.02
- meansq_residual: 0.0996
- f_value: 0.2008
+ meansq_residual: 0.0918
+ f_value: 0.2179
table: |-
@@ -69,13 +69,13 @@ myst:
| $2$ |
$0.04$ |
$0.02$ |
- $0.2008$ |
+ $0.2179$ |
$-$ |
| Residuals |
- $191$ |
- $19.03$ |
- $0.0996$ |
+ $193$ |
+ $17.71$ |
+ $0.0918$ |
$\quad$ |
$\quad$ |
diff --git a/content/public/007.Inference for numerical data/Topic Outcome/openstat_q7_5/openstat_q7_5.md b/content/public/007.Inference for numerical data/Topic Outcome/openstat_q7_5/openstat_q7_5.md
index 8404b4ad..b4da55aa 100644
--- a/content/public/007.Inference for numerical data/Topic Outcome/openstat_q7_5/openstat_q7_5.md
+++ b/content/public/007.Inference for numerical data/Topic Outcome/openstat_q7_5/openstat_q7_5.md
@@ -46,14 +46,14 @@ myst:
vars:
title: Working backwards, Part I
description:
- confidence_level: 94
- lower: 18.807
- upper: 22.059
- sample_size: 37
- mean: 20.433
- moe: 1.6260000000000012
- t_crit: 1.9419477802390548
- s: 5.093119379887433
+ confidence_level: 95
+ lower: 20.569
+ upper: 22.759
+ sample_size: 35
+ mean: 21.664
+ moe: 1.0950000000000006
+ t_crit: 2.032244509317718
+ s: 3.18766139251077
---
# {{ params.vars.title }}
A ${{ params.description.confidence_level }}$% confidence interval for a population mean, $\mu$, is given as (${{ params.description.lower }}$, ${{ params.description.upper }}$). This confidence interval is based on a simple random sample of ${{ params.description.sample_size }}$ observations. Assume that all conditions necessary for inference are satisfied. Use the $t$-distribution in any calculations.
diff --git a/content/public/007.Inference for numerical data/Topic Outcome/openstat_q7_55/openstat_q7_55.md b/content/public/007.Inference for numerical data/Topic Outcome/openstat_q7_55/openstat_q7_55.md
index 2ee9752b..68f214df 100644
--- a/content/public/007.Inference for numerical data/Topic Outcome/openstat_q7_55/openstat_q7_55.md
+++ b/content/public/007.Inference for numerical data/Topic Outcome/openstat_q7_55/openstat_q7_55.md
@@ -50,11 +50,11 @@ myst:
params:
vars:
title: Exclusive relationships
- sample_mean: 3.56
- sample_size: 193
- sample_std: 1.57
- confidence_level: 91
- n: 193
+ sample_mean: 3.34
+ sample_size: 194
+ sample_std: 1.64
+ confidence_level: 89
+ n: 194
part3:
ans1:
value: 'Independence: it is a random sample, so we can assume that the students
@@ -70,7 +70,7 @@ myst:
outliers, so the normality condition is reasonable.
feedback: Great! You got it.
ans4:
- value: We are $91$% confident that undergraduate students have been in (lower_interval)
+ value: We are $89$% confident that undergraduate students have been in (lower_interval)
to (upper_interval) exclusive relationships, on average.
feedback: Great! You got it.
ans5:
diff --git a/content/public/007.Inference for numerical data/Topic Outcome/openstat_q7_7/openstat_q7_7.md b/content/public/007.Inference for numerical data/Topic Outcome/openstat_q7_7/openstat_q7_7.md
index a380b472..77866fbf 100644
--- a/content/public/007.Inference for numerical data/Topic Outcome/openstat_q7_7/openstat_q7_7.md
+++ b/content/public/007.Inference for numerical data/Topic Outcome/openstat_q7_7/openstat_q7_7.md
@@ -72,15 +72,15 @@ myst:
params:
vars:
title: Sleep habits of New Yorkers
- confidence_level: 96.0
- sleep_hours: 7
+ confidence_level: 98.0
+ sleep_hours: 8
description:
- n: 37
- sample_mean: 6.61
- s: 1.56
- min_val: 3.43
- max_val: 9.34
- alpha: 0.02
+ n: 32
+ sample_mean: 7.49
+ s: 1.67
+ min_val: 3.09
+ max_val: 10.22
+ alpha: 0.01
table1: |-
@@ -90,25 +90,25 @@ myst:
| $min$ |
$max$ |
- | $37$ |
- $6.61$ |
- $1.56$ |
- $3.43$ |
- $9.34$ |
+ $32$ |
+ $7.49$ |
+ $1.67$ |
+ $3.09$ |
+ $10.22$ |
part1:
ans1:
- value: '$H_0: \mu = 7$, $H_a: \mu < 7$'
+ value: '$H_0: \mu = 8$, $H_a: \mu < 8$'
feedback: Correct!
ans2:
- value: '$H_0: \mu < 7$, $H_a: \mu > 7$'
+ value: '$H_0: \mu < 8$, $H_a: \mu > 8$'
feedback: Try again please!
ans3:
- value: '$H_0: \mu > 7$, $H_a: \mu < 7$'
+ value: '$H_0: \mu > 8$, $H_a: \mu < 8$'
feedback: Try again please!
ans4:
- value: '$H_0: \mu = 7$, $H_a: \mu = 7$'
+ value: '$H_0: \mu = 8$, $H_a: \mu = 8$'
feedback: Try again please!
part2:
ans1:
@@ -131,23 +131,23 @@ myst:
feedback: Try again please!
part6:
ans1:
- value: The probability that New Yorkers sleep exactly 7 hours per night.
+ value: The probability that New Yorkers sleep exactly 8 hours per night.
feedback: Try again please!
ans2:
value: The probability that the sample accurately represents the entire
population of New Yorkers.
feedback: Try again please!
ans3:
- value: The probability of observing the obtained sample mean 6.61 hours
- if New Yorkers, on average, sleep 7 per night.
+ value: The probability of observing the obtained sample mean 7.49 hours
+ if New Yorkers, on average, sleep 8 per night.
feedback: Correct!
ans4:
- value: The probability of observing the obtained sample mean of 6.61 hours
- or more extreme, if New Yorkers, on average, sleep 6.61 hours per night.
+ value: The probability of observing the obtained sample mean of 7.49 hours
+ or more extreme, if New Yorkers, on average, sleep 7.49 hours per night.
feedback: Try again please!
ans5:
- value: The probability of observing the obtained sample mean 6.61 of hours
- or more extreme, if New Yorkers, on average, sleep 7 per night.
+ value: The probability of observing the obtained sample mean 7.49 of hours
+ or more extreme, if New Yorkers, on average, sleep 8 per night.
feedback: Try again please!
part7:
ans1:
diff --git a/content/public/008.Introduction to linear regression/Topic Outcome/openstat_q8_11/openstat_q8_11.md b/content/public/008.Introduction to linear regression/Topic Outcome/openstat_q8_11/openstat_q8_11.md
index 2429d736..40b591eb 100644
--- a/content/public/008.Introduction to linear regression/Topic Outcome/openstat_q8_11/openstat_q8_11.md
+++ b/content/public/008.Introduction to linear regression/Topic Outcome/openstat_q8_11/openstat_q8_11.md
@@ -59,7 +59,7 @@ myst:
vars:
title: The Coast Starlight, Part I
part3:
- num1: 0.688
+ num1: 0.692
---
# {{ params.vars.title }}
The Coast Starlight Amtrak train runs from Seattle to Los Angeles. The scatterplot below displays the distance between each stop (in miles) and the amount of time it takes to travel from one stop to another (in minutes).
diff --git a/content/public/008.Introduction to linear regression/Topic Outcome/openstat_q8_17/openstat_q8_17.md b/content/public/008.Introduction to linear regression/Topic Outcome/openstat_q8_17/openstat_q8_17.md
index a769b807..eea2602d 100644
--- a/content/public/008.Introduction to linear regression/Topic Outcome/openstat_q8_17/openstat_q8_17.md
+++ b/content/public/008.Introduction to linear regression/Topic Outcome/openstat_q8_17/openstat_q8_17.md
@@ -35,24 +35,24 @@ myst:
params:
vars:
title: Units of regression
- unit1: oz
- unit2: in
- problem_statement: weight (oz) from height (in)
+ unit1: ft
+ unit2: lb
+ problem_statement: height (ft) from weight (lb)
part1:
option1:
value: No units
name: Correlation
option2:
- value: $oz$
+ value: $ft$
name: Intercept
option3:
- value: $\frac{oz}{in}$
+ value: $\frac{ft}{lb}$
name: Slope
option4:
- value: $in$
+ value: $lb$
name: Distractor 1
option5:
- value: $\frac{in}{oz}$
+ value: $\frac{lb}{ft}$
name: Distractor 2
statement1:
value: Correlation
diff --git a/content/public/008.Introduction to linear regression/Topic Outcome/openstat_q8_33/openstat_q8_33.md b/content/public/008.Introduction to linear regression/Topic Outcome/openstat_q8_33/openstat_q8_33.md
index 9438cdc3..c12694cd 100644
--- a/content/public/008.Introduction to linear regression/Topic Outcome/openstat_q8_33/openstat_q8_33.md
+++ b/content/public/008.Introduction to linear regression/Topic Outcome/openstat_q8_33/openstat_q8_33.md
@@ -95,26 +95,26 @@ myst:
Pr(>|t|) |
| (intercept) |
- $46.3399$ |
- $5.1982$ |
- $8.3$ |
+ $46.1584$ |
+ $5.7985$ |
+ $10.0$ |
$0.0$ |
| height_husband |
- $0.2713$ |
- $0.0748$ |
- $2.8$ |
- $0.0058$ |
+ $0.287$ |
+ $0.0795$ |
+ $5.99$ |
+ $0.0$ |
- sample: 149
- slope: 0.2713
- intercept: 46.3399
- intercept_std_error: 5.1982
- slope_std_error: 0.0748
- husband_height1: 66
- correlation: 0.105
- husband_height2: 80
+ sample: 175
+ slope: 0.287
+ intercept: 46.1584
+ intercept_std_error: 5.7985
+ slope_std_error: 0.0795
+ husband_height1: 69
+ correlation: 0.083
+ husband_height2: 76
part1:
ans1:
value: '$H_0: \beta_1 = 0; H_A: \beta_1 \ne 0$'
diff --git a/content/public/008.Introduction to linear regression/Topic Outcome/openstat_q8_43/openstat_q8_43.md b/content/public/008.Introduction to linear regression/Topic Outcome/openstat_q8_43/openstat_q8_43.md
index 0839eb92..12025f9e 100644
--- a/content/public/008.Introduction to linear regression/Topic Outcome/openstat_q8_43/openstat_q8_43.md
+++ b/content/public/008.Introduction to linear regression/Topic Outcome/openstat_q8_43/openstat_q8_43.md
@@ -40,23 +40,23 @@ myst:
vars:
title: Match the correlation, Part III
correlations:
- - 0.97
- - 0.01
- - -0.75
- - 0.5
+ - 0.83
+ - -0.06
+ - -0.56
+ - 0.98
part1:
statement1:
value: Plot 1
- matches: $r=0.97$
+ matches: $r=0.83$
statement2:
value: Plot 2
- matches: $r=0.01$
+ matches: $r=-0.06$
statement3:
value: Plot 3
- matches: $r=-0.75$
+ matches: $r=-0.56$
statement4:
value: Plot 4
- matches: $r=0.5$
+ matches: $r=0.98$
---
# {{ params.vars.title }}
Match each correlation to the corresponding scatterplot.
diff --git a/content/public/008.Introduction to linear regression/Topic Outcome/openstat_q8_9/openstat_q8_9.md b/content/public/008.Introduction to linear regression/Topic Outcome/openstat_q8_9/openstat_q8_9.md
index 82737483..568f1d1e 100644
--- a/content/public/008.Introduction to linear regression/Topic Outcome/openstat_q8_9/openstat_q8_9.md
+++ b/content/public/008.Introduction to linear regression/Topic Outcome/openstat_q8_9/openstat_q8_9.md
@@ -60,7 +60,7 @@ myst:
vars:
title: Speed and height
description:
- num1: 1296
+ num1: 1300
---
# {{ params.vars.title }}
${{ params.description.num1 }}$ UCLA students were asked to fill out a survey where they were asked about their height, fastest speed they have ever driven, and gender. The first scatterplot displays the relationship between height and fastest speed, and the second scatterplot displays the breakdown by gender in this relationship.
diff --git a/content/public/008.Introduction to linear regression/openstat_q8_7/openstat_q8_7.md b/content/public/008.Introduction to linear regression/openstat_q8_7/openstat_q8_7.md
index ad229dcc..3334d47e 100644
--- a/content/public/008.Introduction to linear regression/openstat_q8_7/openstat_q8_7.md
+++ b/content/public/008.Introduction to linear regression/openstat_q8_7/openstat_q8_7.md
@@ -42,22 +42,22 @@ myst:
title: Match the correlation, Part I
correlations:
- 0.08
- - 0.95
- - -0.6
- - 0.48
+ - 0.96
+ - -0.69
+ - 0.4
part1:
statement1:
value: Plot 1
matches: $r=0.08$
statement2:
value: Plot 2
- matches: $r=0.95$
+ matches: $r=0.96$
statement3:
value: Plot 3
- matches: $r=-0.6$
+ matches: $r=-0.69$
statement4:
value: Plot 4
- matches: $r=0.48$
+ matches: $r=0.4$
---
# {{ params.vars.title }}
Match each correlation to the corresponding scatterplot.
diff --git a/content/public/010.Sampling and design/openstax_C1_Q87/openstax_C1_Q87.md b/content/public/010.Sampling and design/openstax_C1_Q87/openstax_C1_Q87.md
index a72f691b..f8ca2729 100644
--- a/content/public/010.Sampling and design/openstax_C1_Q87/openstax_C1_Q87.md
+++ b/content/public/010.Sampling and design/openstax_C1_Q87/openstax_C1_Q87.md
@@ -59,9 +59,9 @@ myst:
params:
vars:
title: 'Experimental Design: Sleep Deprivation'
- num_drivers: 17
- hours_deprivation: 32
- treatment_order: The control treatment was trialed last.
+ num_drivers: 16
+ hours_deprivation: 25
+ treatment_order: The control treatment was trialed first.
mentioned_test: driving simulation
driver_type: new
part1:
@@ -90,29 +90,29 @@ myst:
value: Normal Sleep
feedback: Correct!
ans2:
- value: 32 hours of sleep deprivation
+ value: 25 hours of sleep deprivation
feedback: Correct!
ans3:
- value: 17 hours of sleep deprivation
+ value: 16 hours of sleep deprivation
feedback: Try again please!
ans4:
- value: 17 new drivers
+ value: 16 new drivers
feedback: Try again please!
ans5:
- value: 32 new drivers
+ value: 25 new drivers
feedback: Try again please!
part3:
ans1:
- value: 17 new drivers
+ value: 16 new drivers
feedback: Correct!
ans2:
- value: 32 hours of sleep deprivation
+ value: 25 hours of sleep deprivation
feedback: Try again please!
ans3:
- value: 17 hours of sleep deprivation
+ value: 16 hours of sleep deprivation
feedback: Try again please!
ans4:
- value: 32 new drivers
+ value: 25 new drivers
feedback: Try again please!
part4:
ans1:
@@ -140,16 +140,16 @@ myst:
value: Normal Sleep
feedback: Correct!
ans2:
- value: 32 hours of sleep deprivation
+ value: 25 hours of sleep deprivation
feedback: Try again please! This is a treatment, but not the control.
ans3:
- value: 17 hours of sleep deprivation
+ value: 16 hours of sleep deprivation
feedback: Try again please!
ans4:
- value: 17 new drivers
+ value: 16 new drivers
feedback: Try again please!
ans5:
- value: 32 new drivers
+ value: 25 new drivers
feedback: Try again please!
part7:
ans1: