ROUND-1

PROBABILITY PUZZLES

100

The events where the occurrence or non-occurrence of one event does not affect the occurrence or non-occurrence of the other event.

INDEPENDENT EVENTS

200

The events that cannot occur together in the same trial or experiment.

MUTUALLY EXCLUSIVE EVENTS

300

It describes the likelihood of each possible outcome of a random variable in a given experiment. It assigns probabilities to each outcome or value that the random variable can take.

PROBABILITY DISTRIBUTION

400

The average value a random variable would take over a large number of repeated experiments. It represents the long-term average outcome.

EXPECTATION

500

The dispersion or spread of the values of a random variable around its expected value. It quantifies how much the values deviate from the mean.

VARIANCE

DATA DIVING

100

1. Height in centimeters (150 cm, 160 cm, 170 cm, ...)
2. Weight in kilograms (50 kg, 60 kg, 70 kg, ...)
3. Age in years (0 years, 1 year, 2 years, ...)

RATIO DATA

200

1. Longitude coordinates (-180, -170, -160, -150, ...)
2. Music loudness (Decibels)
3. Kinetic energy (Joules)

INTERVAL DATA

300

1. Customer satisfaction ratings (Poor, Fair, Good, Very Good, Excellent)
2. Pain intensity (Mild, Moderate, Severe)
3. Service quality ratings (Low, Medium, High)

ORDINAL DATA

400

1. Gender (Male, Female)
2. Eye color (Blue, Brown, Green)
3. Marital status (Married, Single, Divorced)

NOMINAL DATA

500

1. Socioeconomic status (Lower class, Middle class, Upper class)
2. Likert scale responses (Very satisfied, Satisfied, Neutral, Dissatisfied, Very dissatisfied)
3. Military ranks (Private, Corporal, Sergeant, Lieutenant, Captain)

ORDINAL DATA

STATISTICAL SLEUTHING

100

Focusing on successful individuals or entities while ignoring those that failed, leading to an overestimation of success rates.

SURVIVORSHIP BIAS

200

Seeking or interpreting information in a way that confirms preconceptions, leading to selective perception and disregarding contradictory evidence.

CONFIRMATION BIAS

300

When the sample used in a study is not representative of the population, causing results to be skewed and not generalizable.

SAMPLING BIAS

400

Occurs when certain individuals or groups are systematically excluded or included in a study, leading to an inaccurate representation of the population.

SELECTION BIAS

500

When respondents in a survey provide inaccurate or misleading information due to social desirability or other factors, compromising the validity of the results.

RESPONSE BIAS

STATISTICAL SOFTWARE

100

A statistical software is known for its user-friendly interface and is often used for introductory statistics courses due to its simplicity

R SOFTWARE

200

A statistical software can you perform tasks such as data cleaning, visualization, and basic statistical analysis using a point-and-click interface, but also allows for more advanced analyses using its programming language

Graphical User Interface (GUI)

300

A statistical software, often used in academic research, emphasizes Bayesian analysis and offers a comprehensive suite of tools for probabilistic programming and inference.

Stan

400

A software is a Java-based system for visualizing statistical data

MONDRIAN

500

This software is a Microsoft product that provides advanced analytics through a visual interface and can be used with SQL Server.

POWER BI

INTERDISCIPLINARY

100

This statistical method is used to analyse patient data from multiple healthcare providers to improve quality and outcomes

HEALTH CARE ANALYTICS

200

A branch of statistics is crucial for making predictions about future events based on historical data.

TIME SERIES ANALYSIS

300

A branch of statistics  extensively used to determine the spatial variability of soil properties based on its capacity to quantify and minimize sampling errors

GEOSTATISTICS

400

An analysis tool used in statistics that splits an observed aggregate variability found inside a data set into two parts: Systematic factor and random factors.

ANOVA

500

A computer simulation model which includes existing fire behaviour models for surface, crown, spotting, point-source fire acceleration, and fuel moisture

FARSITE MODEL