Adventure in Stats Breakout

MISSION

Introduction

START

AVENTURes in stats

BREAKOUT

Destination 01

Destination 02

Destination 03

Destination 04

Destination 05

Destination 06

CHOOSE YOUR DESTINATION

Be sure to record the secret number after each adventure

START

Welcome to the icy north.Here, cold is not the only challenge. You have to be able to SPEAK the LANGUAGE!

WELCOME to Destination 01

Random Sample

Stratified Sample

Cluster Sample

What method of sampling is very difficult for us to do?

QUESTION 01

99%

90%

95%

What is the agreed upon Confidence Level in Social Sciences?

QUESTION 02

something to ignore

rare occurance of data

a majority of the data

In the Normal Distribution, what does the "tail" represent?

QUESTION 03

1

Back to map

The first number is:

CONGRATULATIONS

Welcome to theAfrican plains.Here, Here we will go on safari to see the wildlife. However, this animal data will not eat you.

WELCOME to Destination 02

START

Go to the JASP Data Library, Frequencies folder, Dancing Dogs and Cats dataset.

Begin

This fictional data set, "Dancing Cats and Dogs", provides the number of cats and dogs who learned to dance, trained by one of two types of conditioning. Variables:

• Animal - Species of animal trained (Cat, Dog).
• Training - Type of conditioning (Food as reward, Affection as reward).
• Dance - Did the animal learn to dance? (Yes, No).

The odds of your cat killing you are low but not zero

More cats danced for affection

More cats danced for food

In the Cat section of the Contingency Table, which difference is the MOST prominent?

QUESTION 01

Use the Contingenies Table (Frequencies Tab) to perform the Chi Square Analysis. Move Dancing into the Row, Training into the Column, and Animal into the Layer.

QUESTION 02

Use the Contingenies Table (Frequencies Tab) to perform the Chi Square Analysis. Move Dancing into the Row, Training into the Column, and Animal into the Layer.

In the Dog section of the Contingency Table, which difference is the MOST prominent?

Dogs are great but they are terrible at math.

More dogs danced for affection

More dogs danced for food

No observable difference

Dog results based on effect size

Cats results based on effect size

Which statement is most accurate about this study that we would observe in the real world?

QUESTION 03

Use the Contingenies Table (Frequencies Tab) to perform the Chi Square Analysis. Move Dancing into the Row, Training into the Column, and Animal into the Layer.

Back to map

1

The second number is:

CONGRATULATIONS

START

Samba, jungle, and mysteries! Brazilawaits you with tropical challenges. This will test your ability to READ the signs.

WELCOME TO Destination 03

Begin

Open JASP and go to the Data Library, t-Test, Directed Reading Actvities

This data set, "Directed Reading Activities", provides reading performance of two groups of pupils - one control group and one group that was given Directed Reading Activities. Variables:

• id - Identification number of a pupil.
• group - Experimental group indicator ('Treatment' = participation in the Directed Reading Activities, 'Control' = Control group).
• g - Experimental group indicator expressed as a binary variable (0= Directed Reading Activities, 1= Control group).
• drp - The performance on Degree of Reading Power test.

p=0.013

p=0.026

p=0.029

In the Directed Reading study, what is the p-value of the difference in means in the two groups?

PREGUNTA 01

Put the Directed Reading assessment score (drp) into the DV window and the group into the grouping variable window.

Student's t-Test

Welch t-Test

Mann-Whitney t-Test

Which t-Test was best suited to use with this data?

QUESTION 02

Put the Directed Reading assessment score (drp) into the DV window and the group into the grouping variable window.

1.09 to 18.8 points

1.23 to 18.6 points

9.9 points

What would be the expected difference in reading scores in the general population?

QUESTION 03

Put the Directed Reading assessment score (drp) into the DV window and the group into the grouping variable window.

Back to map

2

The third number is:

CONGRATULATIONS

START

Ah, the land of love and revolution.But here, love could be a trap especially if you enjoy the local night spots too much.

WELCOME TO Destination 04

Begin

Start JASP and go to the Data Library, ANOVA folder, and the Beer Goggles dataset.

Getting the Data

Standard One-Way ANOVA

It does not matter

Kruskal-Wallis ANOVA

Which ANOVA test should you use with this data?

QUESTION 01

Put the Attractiveness Scale in DV and Alcohol in Factor (0=placebo/no alcohol, 1=low alcohol drink, 2= high alcohol dring.

Yes, because the effect size is large, n2=0.139

No, the effect size is small, n2=0.139

Yes, because the p value is significant, p=0.034

Would the differences be noticable if you looked at the particpants in real life?

QUESTION 02

Put the Attractiveness Scale in DV and Alcohol in Factor (0=placebo/no alcohol, 1=low alcohol drink, 2= high alcohol dring.

low alcohol and high alcohol groups

placeba and low alcohol groups

placebo and high alcohol groups

Which groups show this difference?

QUESTION 03

Put the Attractiveness Scale in DV and Alcohol in Factor (0=placebo/no alcohol, 1=low alcohol drink, 2= high alcohol dring.

Back to map

6

The fourth number is:

CONGRATULATIONS

START

Deserts and pyramids, oh yes! Butwatch out for any pools, especially if you have seen any new Nicholas Cage movies.

WELCOME TO Destination 05

Begin

Open JASP and go to the Data Library, Regression folder, Big Five Personality Traits dataset

This data set, "Big Five Personality Traits", provides scores of 500 participants on a Big Five personality questionnaire. Variables:

• Neuroticism - experience negative emotions and be vulnerable to stress
• Extraversion - outgoing, sociable, and energized by social interactions
• Openness - open-minded, imaginative, creative and insightful
• Agreeableness - ability to get along with others and maintain social harmony
• Conscientiousness - how thoughtful, goal-oriented, and controlled someone is

Kendall's tau-b

Spearman rho

Pearson's r

Perform a correlation with the personality trait scores. Which correlation method is most appropriate?

QUESTION 01

Put all the personality trait scores into the Variables window.

Extraversion and Openness

Extraversion and Neuroticism

Conscientiousness and Neuroticism

Which two traits show the strongest correlation?

QUESTION 02

• Neuroticism - experience negative emotions and be vulnerable to stress
• Extraversion - outgoing, sociable, and energized by social interactions
• Openness - open-minded, imaginative, creative and insightful
• Agreeableness - ability to get along with others and maintain social harmony
• Conscientiousness - how thoughtful, goal-oriented, and controlled someone is

Increased Conscientiousness causes decreased Neuroticism

Increased Conscientiousness trends with decreased Neuroticism

Increased Conscientiousness trends with increased Neuroticism

What does this correlation mean?

QUESTION 03

• Neuroticism - experience negative emotions and be vulnerable to stress
• Extraversion - outgoing, sociable, and energized by social interactions
• Openness - open-minded, imaginative, creative and insightful
• Agreeableness - ability to get along with others and maintain social harmony
• Conscientiousness - how thoughtful, goal-oriented, and controlled someone is

Back to map

2

The fifth number is:

CONGRATULATIONS

START

Temples and tigers awaitin this land of wonders as we walk ourselves to physical fitness.

WELCOME TO Destination 06

Begin

Open JASP and go to the Data Library, Regression folder, Physical Activity and BMI

This data set, "Physical activity and BMI", provides participants' Body Mass Index and average daily number of steps. Variables:

• SUBJECT - Participant's ID.
• PA - Physical activity indicated by average daily number of steps (in thousands).
• BMI - Body Mass Index

14.9%

14.0%

38.5%

How much of a change in Body Mass Index (BMI) can we attribute to steps per day?

QUESTION 01

Use Body Mass Index (BMI) as your Dependent Variable (DV) and Physical Activity (PA) as your Covariate. We are trying to predict BMI by using PA,

Yes because it is statistically significant

No because it accounts for less than 30% of the change

Of course, walking is good for you

Is this model very important in the real word?

QUESTION 02

This data set, "Physical activity and BMI", provides participants' Body Mass Index and average daily number of steps. Variables:

• SUBJECT - Participant's ID.
• PA - Physical activity indicated by average daily number of steps (in thousands).
• BMI - Body Mass Index

Decreases by 655 points

Increases by 0.655 points

Decreases by 0.655 points

If we increase our steps per day by 1000 steps, what is the predicted change in BMI?

QUESTION 03

This data set, "Physical activity and BMI", provides participants' Body Mass Index and average daily number of steps. Variables:

• SUBJECT - Participant's ID.
• PA - Physical activity indicated by average daily number of steps (in thousands).
• BMI - Body Mass Index

Back to map

4

The last number is:

CONGRATULATIONS

TRY AGAIN?

CONGRATULATIONS!

Come see your guide (me) for the treasure that awaits with the meaning of your number.

Your mission, should you choose to accept it, is to solve problems and challenges in exotic destinations to find the Treasure of Wisdom. Yes, you heard it right! Let's go for it!

Welcome, adventurers! 🌍 Buckle up for an epic journeyin search of lost treasures, forgotten knowledge, and the wonders of statistics.