Endgames: Statistical question

BMJ ◽  
2010 ◽  
Vol 340 (jan11 2) ◽  
pp. c138-c138 ◽  
Keyword(s):  
Statistical Question

scholarly journals A linear-time algorithm that avoids inverses and computes jackknife (leave-one-out) products like convolutions or other operators in commutative semigroups

2020 ◽  
Author(s):  
John Spouge ◽  
Joseph M. Ziegelbauer ◽  
Mileidy Gonzalez
Keyword(s):  
Linear Time ◽  
Time Algorithm ◽  
Circular Rnas ◽  
P Value ◽  
Algorithmic Problem ◽  
Commutative Semigroups ◽  
Segment Tree ◽  
Tree Algorithms ◽  
Leave One Out ◽  
Statistical Question

Abstract [Please see the manuscript file pdf to view the full abstract.]Background: Data about herpesvirus microRNA motifs on human circular RNAs suggested the following statistical question. Consider independent random counts, not necessarily identically distributed. Conditioned on the sum, decide whether one of the counts is unusually large. Exact computation of the p-value leads to a specific algorithmic problem. Given elements in a set with the closure and associative properties and a commutative product without inverses, compute the jackknife (leave-one-out) products ( ).Results: This article gives a linear-time Jackknife Product algorithm. Its upward phase constructs a standard segment tree for computing segment products like ; its novel downward phase mirrors the upward phase while exploiting the symmetry of and its complement . The algorithm requires storage for elements of and only about products. In contrast, the standard segment tree algorithms require about products for construction and products for calculating each , i.e., about products in total; and a naïve quadratic algorithm using element-by-element products to compute each requires products.Conclusions: In the herpesvirus application, the Jackknife Product algorithm required 15 minutes; standard segment tree algorithms would have taken an estimated 3 hours; and the quadratic algorithm, an estimated 1 month. The Jackknife Product algorithm has many possible uses in bioinformatics and statistics.

Endgames: Statistical question

BMJ ◽  
2010 ◽  
Vol 341 (dec10 2) ◽  
pp. c7133-c7133
Keyword(s):  
Statistical Question

Penerapan model pembelajaran missouri mathematics project untuk meningkatkan kemampuan transfer of knowledge hots statistika pada peserta didik kelas iv sekolah dasar

2019 ◽  
Vol 7 (8) ◽  
Author(s):  
Intan Permata Mahalia
Keyword(s):  
Fourth Grade ◽  
Transfer Of Knowledge ◽  
Analysis Model ◽  
Test Technique ◽  
Interactive Analysis ◽  
Fourth Grade Students ◽  
Data Validity ◽  
Data Collection Technique ◽  
Academic Year ◽  
Statistical Question

<p class="Abstract"><em>The purpose of this study is to improve HOTS Transfer of Knowledge capabilities on statistical question by applying the Missouri Matematics Project (MMP) learning model. This research is a Classrom Action Research and consist of two cycles. The subject of this study were fourth grade students of SD Negeri Pajang II Surakarta in the 2018/2019 academic year, totaling 26 students. The data collection technique of this study uses interviews, observation, test, and documentation. The data validity test technique of this research is the content validity. The analysis of the data used in this study is Miles-Huberman’s interactive analysis model. The initial condition of HOTS Transfer of Knowledge ability of fourth grade students resulted in completeness of C4 aspects by 7 students, C5 by 2 students, and C6 by 2 students. Cycle 1 meeting 1 completeness aspects of C4 were 13 stuents, C5 were 13 students, and C6 were 12 students. Cycle 1 meeting 2 completness aspects of C4 were 20 students, C5 were 15 students, and C6 were 15 students. Cycle 2 meeting 1 completness aspects of C4 were 21 students, C5 were 20 students, and C6 were 21 students. Cycle 2 meeting 2 completness aspects of C4 were 23 students, C5 were 23 students, and C6 were 22 students.</em></p>

scholarly journals REACTION TIME IN GRADE 5: DATA COLLECTION WITHIN THE PRACTICE OF STATISTICS

2017 ◽  
Vol 16 (1) ◽  
pp. 262-293
Author(s):  
JANE WATSON ◽  
LYN ENGLISH
Keyword(s):  
Education Research ◽  
Reaction Time ◽  
Student Development ◽  
Statistics Education ◽  
Reaction Times ◽  
Classroom Activity ◽  
Research Journal ◽  
Grade 5 ◽  
Statistical Question ◽  
Informal Inference

This study reports on a classroom activity for Grade 5 students investigating their reaction times. The investigation was part of a 3-year research project introducing students to informal inference and giving them experience carrying out the practice of statistics. For this activity the focus within the practice of statistics was on introducing two different ways of collecting data to answer a statistical question, in this case, “What is the typical reaction time of Grade 5 students?” Workbook entries were used to assess students’ capacities to engage in the investigation. Results indicated that although the students were proficient with the procedures and measures introduced, they were less able to explain and apply the underlying concepts. The activity provides a suggestion and benchmarks for others wishing to follow student development of concepts related to the practice of statistics. First published May 2017 at Statistics Education Research Journal Archives

Endgames: Statistical Question

BMJ ◽  
2009 ◽  
Vol 338 (jun23 1) ◽  
pp. b2492-b2492
Keyword(s):  
Statistical Question

Clinical Assessment of Hand Strength Using a Microcomputer

1985 ◽  
Vol 10 (3) ◽  
pp. 315-318
Author(s):  
A. S. JAIN ◽  
J. A. HENNEDY ◽  
D. A. CARUS
Keyword(s):  
Clinical Assessment ◽  
Hand Function ◽  
Hand Strength ◽  
Graphical Form ◽  
Force Transducers ◽  
Normal Hand ◽  
Statistical Question ◽  
Objective Quantification

A microcomputer based system has been designed for precise, objective quantification of hand strength. Pinch, grasp and shear strengths are measured using force transducers. The system, which is quick and easy to operate, not only measures these strengths accurately, but also collects, stores and displays this data numerically or in graphical form, at the touch of a button. The data can be manipulated to answer any type of statistical question related to any group of patients. The assessment of hand strength in ninety-six people, representing normal hand function, by means of this system, is reported.

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