Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 0 |
Since 2006 (last 20 years) | 2 |
Descriptor
Computation | 2 |
Statistical Distributions | 2 |
Computer Software | 1 |
Correlation | 1 |
Experiments | 1 |
Holidays | 1 |
Mathematics Education | 1 |
Predictor Variables | 1 |
Probability | 1 |
Spreadsheets | 1 |
Statistical Analysis | 1 |
More ▼ |
Source
Teaching Statistics: An… | 2 |
Publication Type
Journal Articles | 2 |
Reports - Descriptive | 1 |
Reports - Evaluative | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Shiwalkar, Jyoti P.; Deshpande, M. N. – Teaching Statistics: An International Journal for Teachers, 2009
We find the correlation of two jointly distributed random variables connected with a coin tossing experiment. The marginal distributions are binomial and negative binomial.
Descriptors: Computation, Correlation, Predictor Variables, Experiments
Ratliff, Michael I.; Mc Shane, Janet M. – Teaching Statistics: An International Journal for Teachers, 2008
This article studies various holiday distributions, the most interesting one being Easter. Gauss' Easter algorithm and Microsoft Excel are used to determine that the Easter distribution can be closely approximated by the convolution of two well-known uniform distributions. (Contains 8 figures.)
Descriptors: Holidays, Computer Software, Spreadsheets, Statistics