Related Experiment Video
Updated: Apr 17, 2026

10:58
Multimedia Battery for Assessment of Cognitive and Basic Skills in Mathematics BM-PROMA
Published on: August 28, 2021
5.1K
Prospect evaluation as a function of numeracy and probability denominator
Philip Millroth1, Peter Juslin1
1Uppsala University, Uppsala, Sweden.
Cognition
|February 24, 2015
Summary
Numeracy and probability format significantly impact how people evaluate financial prospects. Understanding these factors is crucial for accurate decision-making research.
Area of Science:
- Decision Science
- Cognitive Psychology
- Behavioral Economics
Background:
- Individuals' numerical abilities and the way probabilities are presented can influence risk perception.
- Previous research suggests potential biases in evaluating financial prospects based on cognitive factors.
Purpose of the Study:
- To investigate the effects of numeracy and probability denominator format on prospect evaluation.
- To determine how different probability representations interact with individual numeracy levels.
Main Methods:
- Utilized functional measurement to analyze expected value integration.
- Employed cumulative prospect theory to examine psychophysical responses to probability and value.
- Manipulated probability denominators (direct-ratio, /100, /10,000).
Main Results:
- Confirmed integration of value and probability into expected value calculations.
- Revealed a significant interaction between numeracy and probability format.
- Demonstrated that probability denominator manipulation alters psychophysical responses to risk.
Conclusions:
- Numeracy and probability format are critical, interacting factors in prospect evaluation.
- Standard decision research methods may conflate risk attitudes with numerical skills and presentation formats.
- Findings highlight the need to account for these variables in behavioral economics and risk assessment.
Related Concept Videos
Testing a Claim about Population Proportion
4.2K
A complete procedure for testing a claim about a population proportion is provided here.
There are two methods of testing a claim about a population proportion: (1) Using the sample proportion from the data where a binomial distribution is approximated to the normal distribution and (2) Using the binomial probabilities calculated from the data.
The first method uses normal distribution as an approximation to the binomial distribution. The requirements are as follows: sample size is large...
There are two methods of testing a claim about a population proportion: (1) Using the sample proportion from the data where a binomial distribution is approximated to the normal distribution and (2) Using the binomial probabilities calculated from the data.
The first method uses normal distribution as an approximation to the binomial distribution. The requirements are as follows: sample size is large...
4.2K
Probability in Statistics
25.3K
Probability is the likelihood of an event occurring. The term event is defined as a collection of results of a procedure. An event is a simple event when an outcome cannot be divided into simpler parts.
An example of a simple event is a coin toss. The result of a coin toss is either a head or a tail. Here, head and tail are two simple events. These two simple events make up the sample space. Further, the probability of an event occurring falls within the range of 0 to 1. The probability of an...
An example of a simple event is a coin toss. The result of a coin toss is either a head or a tail. Here, head and tail are two simple events. These two simple events make up the sample space. Further, the probability of an event occurring falls within the range of 0 to 1. The probability of an...
25.3K
Unusual Results
4.2K
Unusual results are those that have a very low chance of occurring. Unusual results can be identified using probabilities and the range rule of thumb. In problems involving probability, unusual results can be observed in 2 instances – an unusually high number of successes or an unusually low number of successes.
According to the range rule of thumb, any value above or below two standard deviations, 2σ from the mean, μ is considered unusual.
Maximum unusual value =...
According to the range rule of thumb, any value above or below two standard deviations, 2σ from the mean, μ is considered unusual.
Maximum unusual value =...
4.2K
Numerical Calculations
1.3K
In engineering applications, the representation of the numerical value is critical. Presenting or reporting the answer is one of the essential parts of engineering practices. Numerical calculations are performed using handheld calculators or computers since numerically accurate answers are always preferred.
The solution to a problem is obtained using different methods. While manually solving algebraic symbols is one of the most common methods, the graphical method is often preferred. Computers...
The solution to a problem is obtained using different methods. While manually solving algebraic symbols is one of the most common methods, the graphical method is often preferred. Computers...
1.3K
Review and Preview
9.0K
In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
Percentiles are a type of fractile that partition data into...
Percentiles are a type of fractile that partition data into...
9.0K
Review and Preview
12.3K
Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
12.3K
