The F distribution is a statistical distribution that is used to compare variances. It has a minimum value of 0 but no maximum value. The shape of the distribution depends on the degrees of freedom, with smaller degrees of freedom resulting in a more spread out distribution. Tables of critical F values are provided for different significance levels (0.10, 0.05, 0.01) and combinations of degrees of freedom in the numerator and denominator. These tables allow users to determine the critical F value for a given significance level and degrees of freedom.
The role of gender in crop value chains in EthiopiaILRI
Women play a significant role in Ethiopian agriculture but face barriers to fully participating in crop value chains. A gender analysis of crop production found that women's workloads are heavier than men's and they have less control over income and decision-making. It also found divisions of labor vary by crop, region, and wealth, with women typically performing tasks like weeding and men activities like marketing. The analysis recommends interventions support women by addressing imbalances in workloads and benefits, expanding access to inputs, technologies, and markets, and involving women in decision-making.
El reporte de incidencia delictiva contiene información de los delitos de alto impacto registrados en carpetas de investigación ante la Fiscalía del Estado de Guanajuato. Comprende 16 delitos: Homicidio doloso, homicidio culposo, feminicidio, secuestro, extorsión, robo con violencia, robo a vehículo, robo a casa habitación, robo a negocio, robo a transeúnte, robo a transporte público, trata de personas, lesiones dolosas, violación, violencia familiar y narcomenudeo.
Contiene información secundaria como la causal del delito, tipo de arma utilizada si fue con violencia o si fue sin violencia, así como los comparativos correspondientes del periodo de análisis vs el mismo periodo, pero del año anterior.
The table provides critical values of the F-distribution at the 5% significance level. The F-distribution is used in statistical hypothesis testing involving variance, with the table listing cutoff values that determine whether observed differences could have occurred by chance alone. The critical values allow researchers to determine if a result is statistically significant for various sample sizes and degrees of freedom.
This document contains tables of critical values for various statistical tests including the z-distribution, t-distribution, chi-square distribution, and F-distribution. The z-distribution table lists critical values for the z-test across different levels of significance. Similarly, the other tables provide critical values for t-tests, chi-square tests, ANOVA, and other statistical analyses across different degrees of freedom and significance levels.
Advanced C++ Week 1cityinfo.txtAPN 45.07 83.57 EATL.docxgalerussel59292
Advanced C++ Week 1/cityinfo.txt
APN
45.07 83.57 E
ATL
33.65 84.42 E
DCA
38.85 77.03 E
DEN
39.75 104.87 M
DFW
32.90 97.03 C
DTW
42.23 83.33 E
GRR
42.88 85.52 E
JFK
40.65 73.78 E
LAF
40.42 86.93 E
LAN
42.77 84.60 E
LAX
33.93 118.40 P
MBS
43.53 84.08 E
MIA
25.82 80.28 E
MQT
46.53 87.55 E
ORD
41.98 87.90 C
SSM
46.47 84.37 E
TVC
44.73 85.58 E
YYZ
43.67 79.63 E
Advanced C++ Week 1/datefun.cppAdvanced C++ Week 1/datefun.cpp// This file includes implementations for date functions
#include<iostream>
#include<string>
usingnamespace std;
#include"datefun.h"
//-----------------------------------------------------------------
// This function receives an integer year and returns true if the
// year is a leap year and false otherwise.
bool leapYear(int theYear)
{
if( theYear %400==0||
( theYear %4==0&& theYear %100!=0))
returntrue;
else
returnfalse;
}// end function leapYear
//-----------------------------------------------------------------
// This function receives an integer month and year and returns an
// integer of the number of days in the month. Leap years are
// considered.
intDaysInMonth(int theMonth,int theYear)
{
int days =0;
// 31 Day theMonths
if(theMonth ==1|| theMonth ==3|| theMonth ==5||
theMonth ==7|| theMonth ==8|| theMonth ==10||
theMonth ==12)
days =31;
// 30 Day theMonths
elseif(theMonth ==4|| theMonth ==6||
theMonth ==9|| theMonth ==11)
days =30;
// February
else// theMonth == 2
if( leapYear(theYear))
days =29;
else
days =28;
return days;
}// end function DaysInMonth
//-----------------------------------------------------------------
// This function receives a valid calendar date and returns the Julian
// date (the day number of the date in that year).
int julianDate(int theMonth,int theDay,int theYear)
{
int dayCnt =0;
int mon;
for(mon =1; mon < theMonth; mon++)
dayCnt +=DaysInMonth(mon,theYear);
dayCnt += theDay;
return dayCnt;
}// end function julianDate
//-----------------------------------------------------------------
// This function validates a calendar date and returns 'true' if
// all three components represent a valid date and 'false' otherwise
bool validDate(int mon,int day,int yr)
{
bool valDate =true;// Assume a good date
// Test for conditions that would make the date validity false
if(yr <1900)
valDate =false;
if((mon <1)||(mon >12)||(day <1)||(day >31))
valDate =false;
elseif(((mon ==4)||(mon ==6)||(mon ==9)||(mon ==11))&&(day ==31))
valDate =false;
elseif((mon ==2)&& leapYear(yr)&&(day >29))
valDate =false;
elseif((mon ==2)&&! leapYear(yr)&&(day >28))
valDate =false;
return valDate;
}// end function validDate
//-----------------------------------------------------------------
// This function receives a valid date and returns a date code for the
// day of the week. .
The document analyzes the statistical processing of maximum daily rainfall data from the Huancabamba weather station from 1971-2009. It includes the monthly rainfall values in millimeters for each year. The purpose is to obtain rainfall values for return periods of 2, 5, 10, 25, 50, 100 and 500 years by statistically processing the data on maximum 24-hour rainfall.
The document appears to contain statistical data in tables across multiple years (1998, 2000, 2002). The data seems to cover topics like transportation, industry, resources, and more. Specifically, it includes metrics like production amounts, transportation amounts, resources amounts, percentages, and population. The data is broken down by category and year.
The role of gender in crop value chains in EthiopiaILRI
Women play a significant role in Ethiopian agriculture but face barriers to fully participating in crop value chains. A gender analysis of crop production found that women's workloads are heavier than men's and they have less control over income and decision-making. It also found divisions of labor vary by crop, region, and wealth, with women typically performing tasks like weeding and men activities like marketing. The analysis recommends interventions support women by addressing imbalances in workloads and benefits, expanding access to inputs, technologies, and markets, and involving women in decision-making.
El reporte de incidencia delictiva contiene información de los delitos de alto impacto registrados en carpetas de investigación ante la Fiscalía del Estado de Guanajuato. Comprende 16 delitos: Homicidio doloso, homicidio culposo, feminicidio, secuestro, extorsión, robo con violencia, robo a vehículo, robo a casa habitación, robo a negocio, robo a transeúnte, robo a transporte público, trata de personas, lesiones dolosas, violación, violencia familiar y narcomenudeo.
Contiene información secundaria como la causal del delito, tipo de arma utilizada si fue con violencia o si fue sin violencia, así como los comparativos correspondientes del periodo de análisis vs el mismo periodo, pero del año anterior.
The table provides critical values of the F-distribution at the 5% significance level. The F-distribution is used in statistical hypothesis testing involving variance, with the table listing cutoff values that determine whether observed differences could have occurred by chance alone. The critical values allow researchers to determine if a result is statistically significant for various sample sizes and degrees of freedom.
This document contains tables of critical values for various statistical tests including the z-distribution, t-distribution, chi-square distribution, and F-distribution. The z-distribution table lists critical values for the z-test across different levels of significance. Similarly, the other tables provide critical values for t-tests, chi-square tests, ANOVA, and other statistical analyses across different degrees of freedom and significance levels.
Advanced C++ Week 1cityinfo.txtAPN 45.07 83.57 EATL.docxgalerussel59292
Advanced C++ Week 1/cityinfo.txt
APN
45.07 83.57 E
ATL
33.65 84.42 E
DCA
38.85 77.03 E
DEN
39.75 104.87 M
DFW
32.90 97.03 C
DTW
42.23 83.33 E
GRR
42.88 85.52 E
JFK
40.65 73.78 E
LAF
40.42 86.93 E
LAN
42.77 84.60 E
LAX
33.93 118.40 P
MBS
43.53 84.08 E
MIA
25.82 80.28 E
MQT
46.53 87.55 E
ORD
41.98 87.90 C
SSM
46.47 84.37 E
TVC
44.73 85.58 E
YYZ
43.67 79.63 E
Advanced C++ Week 1/datefun.cppAdvanced C++ Week 1/datefun.cpp// This file includes implementations for date functions
#include<iostream>
#include<string>
usingnamespace std;
#include"datefun.h"
//-----------------------------------------------------------------
// This function receives an integer year and returns true if the
// year is a leap year and false otherwise.
bool leapYear(int theYear)
{
if( theYear %400==0||
( theYear %4==0&& theYear %100!=0))
returntrue;
else
returnfalse;
}// end function leapYear
//-----------------------------------------------------------------
// This function receives an integer month and year and returns an
// integer of the number of days in the month. Leap years are
// considered.
intDaysInMonth(int theMonth,int theYear)
{
int days =0;
// 31 Day theMonths
if(theMonth ==1|| theMonth ==3|| theMonth ==5||
theMonth ==7|| theMonth ==8|| theMonth ==10||
theMonth ==12)
days =31;
// 30 Day theMonths
elseif(theMonth ==4|| theMonth ==6||
theMonth ==9|| theMonth ==11)
days =30;
// February
else// theMonth == 2
if( leapYear(theYear))
days =29;
else
days =28;
return days;
}// end function DaysInMonth
//-----------------------------------------------------------------
// This function receives a valid calendar date and returns the Julian
// date (the day number of the date in that year).
int julianDate(int theMonth,int theDay,int theYear)
{
int dayCnt =0;
int mon;
for(mon =1; mon < theMonth; mon++)
dayCnt +=DaysInMonth(mon,theYear);
dayCnt += theDay;
return dayCnt;
}// end function julianDate
//-----------------------------------------------------------------
// This function validates a calendar date and returns 'true' if
// all three components represent a valid date and 'false' otherwise
bool validDate(int mon,int day,int yr)
{
bool valDate =true;// Assume a good date
// Test for conditions that would make the date validity false
if(yr <1900)
valDate =false;
if((mon <1)||(mon >12)||(day <1)||(day >31))
valDate =false;
elseif(((mon ==4)||(mon ==6)||(mon ==9)||(mon ==11))&&(day ==31))
valDate =false;
elseif((mon ==2)&& leapYear(yr)&&(day >29))
valDate =false;
elseif((mon ==2)&&! leapYear(yr)&&(day >28))
valDate =false;
return valDate;
}// end function validDate
//-----------------------------------------------------------------
// This function receives a valid date and returns a date code for the
// day of the week. .
The document analyzes the statistical processing of maximum daily rainfall data from the Huancabamba weather station from 1971-2009. It includes the monthly rainfall values in millimeters for each year. The purpose is to obtain rainfall values for return periods of 2, 5, 10, 25, 50, 100 and 500 years by statistically processing the data on maximum 24-hour rainfall.
The document appears to contain statistical data in tables across multiple years (1998, 2000, 2002). The data seems to cover topics like transportation, industry, resources, and more. Specifically, it includes metrics like production amounts, transportation amounts, resources amounts, percentages, and population. The data is broken down by category and year.
International baccalaureate biology sl investigation_beans by felix dyrekFelix Dyrek
The researcher measured the length and mass of 160 lima beans to investigate variability within a species. There was variation in both length, which ranged from 1.2 to 2.9 cm, and mass, which ranged from 1.07 to 2.32 g. The data was sorted into classes to analyze patterns in the variability. Overall, the results supported the hypothesis that while some individuals were similar, organisms within a species can differ significantly from each other and the average.
This document provides an overview of the key information needed to perform a satellite link budget analysis. It discusses the various parameters that must be accounted for, such as location, frequency, antenna characteristics, rain attenuation levels, coupling and mispointing losses. Tables of rain attenuation values for different frequency bands and climatic zones are also presented. The document aims to explain all of the relevant factors that impact satellite communication links and must be considered in a link budget calculation.
Study on baltim field,b.sc graduation project 2015, by atam teamPE Mahmoud Jad
This document discusses petroleum engineering as a career. It covers the following key points:
- Petroleum engineering involves the production of hydrocarbons like oil and gas. It covers activities from exploration and production to refining.
- The field requires knowledge of disciplines like geology, geophysics, drilling, reservoir simulation, and economics. Engineers also need skills in using computer systems and automation.
- Duties of petroleum engineers include locating drill sites, setting up extraction machinery, and overseeing safe and efficient extraction and processing of petroleum products.
Linear regression an 80 year study of the dow jones industrial averageTehyaSingleton
Linear regression was used to model the relationship between the Dow Jones Industrial Average (DJIA) price and years since 1930 over an 80 year period. The results showed a strong positive linear relationship where DJIA price increases by about 125 points for each additional year. The slope of the linear model indicates that DJIA price rises as years since 1930 increases. The y-intercept of the model, which is the hypothetical DJIA price at year 0 (1930), provides meaningful context about the starting price over the 80 years analyzed.
Linear regression an 80 year study of the dow jones industrial averageTehyaSingleton
Linear regression was used to model the relationship between the Dow Jones Industrial Average (DJIA) price and years since 1930 over an 80 year period. The results showed a strong positive linear relationship where DJIA price increases by about 125 points for each additional year. The regression equation determined that DJIA price equals 125.3 times the number of years since 1930 minus 2.4425. While DJIA price has generally increased over the eight decades, the model suggests it would have been negative in 1930 based on the y-intercept value.
This document provides specifications for various sizes of structural steel profiles including circular, rectangular, and square shapes. It lists the nominal and actual dimensions, wall thickness, static properties such as area, moment of inertia, radius of gyration, plastic modulus, and elastic modulus for bending and torsion. Properties are provided for different steel grades including black and galvanized.
The Science and Practice of Cartographic Interactionreroth
The document contains survey results from participants responding to questions in different categories. It includes a table with the sum and average scores for each question category (e.g. EMG, ENV, EPI) and total scores. Some categories like "How" received the highest total scores, while categories like "Who" and "Where" received lower total scores on average. The data provides an overview of participant responses to different types of questions in a survey.
The document discusses using Weka data mining software to analyze economic data from Japan from 1970-2009. It performs three techniques: 1) Decision tree classification using M5P algorithm to predict liquidity based on other economic factors, 2) Linear regression to develop a mathematical model relating variables, 3) Clustering using k-means to group similar data points. The results of each technique are presented and interpreted to understand relationships between economic indicators.
This document contains tables with information for determining values of Yn and σn using the Gumbel Type I method and values of K for the log Pearson Type III distribution method. The log Pearson table lists K factor values for different recurrence intervals in years and skewness coefficients ranging from -3 to -1 and 1 to 3. The table can be used to determine K values based on the weighted skew coefficient and desired exceedance probability or return period.
Teacher and Classroom Context Effects on Student Achievement: Implications f...Divine Dizon
The document analyzes student test score data from 30 analyses to determine factors that affect student academic growth. It finds:
1) The most important factor is the individual teacher, as teacher effects were found to be additive and cumulative over grades.
2) The second most influential factor was the student's initial achievement level, though gains occurred across achievement levels.
3) Hundreds of studies on ability grouping since the 1930s have found no positive effects of ability grouping on student outcomes in any subject or grade.
The document provides summary statistics for 5 variables (v1-v5) measured in 200-201 observations. For each variable, it reports the number of valid and missing cases, measures of central tendency (mean, median, mode), dispersion (standard deviation, variance, range), and position (percentiles). Frequency tables display the count for each unique value in v1-v5. Stem-and-leaf plots further summarize the distribution of scores for each variable.
This document provides a summary of recommended mutual fund schemes in India across two categories: equity and tax saving. For each fund, it lists the NAV, 52-week high and low, launch year, overall and return ratings, risk rating, fund size, and return analysis for various time periods. A total of 11 equity funds and 7 tax saving funds are summarized. The funds represented span a range of fund sizes from large to mid-size and have overall ratings from 2 to 5 stars.
Tablas normal chi cuadrado y t student 1-semana 6Karla Diaz
The document contains a table of values for the standard normal cumulative distribution function F(z) for z-values ranging from -3.5 to 3.2 in increments of 0.1. The table provides the probability P(Z≤z) for finding a value less than or equal to z in a standard normal distribution.
December 2021 The Okanagan Real Estate Statistics Package VickyAulakh1
The document provides monthly real estate statistics for the Central Okanagan region of British Columbia. It includes information on inventory, sales, prices, and days to sell for December 2021 and year-to-date totals. Some key details are:
- Total listings in December were 383, down 18.16% from the previous year.
- 403 properties sold in December for a total of $329 million, declines of 22.2% and 17.82% respectively from the previous year.
- The average days to sell was 76, down 33.05% from the previous year.
The document appears to be performance results of a trading system using a 12-week moving average strategy on the Shanghai Stock Index from 1995 to 2009. It includes annual returns, maximum drawdowns, number of trades and other metrics for each year. The overall performance was positive with average annual returns of around 20% and maximum drawdowns generally below 25% except for a few years.
1) This document provides a chi-square table for determining the critical value for rejecting the null hypothesis at different confidence levels and degrees of freedom.
2) The table lists the chi-square value for confidence levels from 99% to 0.1% and degrees of freedom ranging from 1 to 30.
3) If the calculated chi-square value is greater than the corresponding value in the table for a given confidence level and degrees of freedom, the null hypothesis can be rejected.
This document summarizes the hydrological modeling and analysis of the Coata River basin located in Puno, Peru. Key points:
- The GR2M hydrological model was calibrated on the Coata River basin from 1971-1994, achieving Nash coefficients of 84.99% for streamflow.
- The model was validated on data from 1995-2006, with Nash coefficients of 89.55% for streamflow, indicating good model performance.
- Precipitation in the sub-basins was estimated using Kriging interpolation. Mean monthly streamflows were then generated for a designated intake point in the basin.
The document discusses control charts, which are statistical tools used to detect variability, consistency, and process improvement. Control charts can observe, detect, and prevent changes in a process's behavior over time. The document includes a table of sample data consisting of measurements from 11 variables (X1-X11) taken over 30 time periods. It also includes calculations of the mean and standard deviation for each variable.
- The document is a temperature conversion table that lists Celsius and Fahrenheit temperatures from -40°C to +165°C.
- It also includes information on non-freezing cold injury (NFCI), noting that it has an insidious onset, can be difficult to recognize and treat, and causes significant health issues for both military personnel and civilians working in cold conditions.
- To help reduce cases of NFCI, the document emphasizes the importance of recognizing those at risk, limiting their cold exposure, and using appropriate protective equipment in cold environments.
This document contains random numeric data and statistical analysis of that data. It includes a frequency table listing the values, categories, relative and absolute frequencies. It also provides measures of central tendency (mean, median, mode) and dispersion (standard deviation, variance) calculated from the data.
The cost of acquiring information by natural selectionCarl Bergstrom
This is a short talk that I gave at the Banff International Research Station workshop on Modeling and Theory in Population Biology. The idea is to try to understand how the burden of natural selection relates to the amount of information that selection puts into the genome.
It's based on the first part of this research paper:
The cost of information acquisition by natural selection
Ryan Seamus McGee, Olivia Kosterlitz, Artem Kaznatcheev, Benjamin Kerr, Carl T. Bergstrom
bioRxiv 2022.07.02.498577; doi: https://doi.org/10.1101/2022.07.02.498577
International baccalaureate biology sl investigation_beans by felix dyrekFelix Dyrek
The researcher measured the length and mass of 160 lima beans to investigate variability within a species. There was variation in both length, which ranged from 1.2 to 2.9 cm, and mass, which ranged from 1.07 to 2.32 g. The data was sorted into classes to analyze patterns in the variability. Overall, the results supported the hypothesis that while some individuals were similar, organisms within a species can differ significantly from each other and the average.
This document provides an overview of the key information needed to perform a satellite link budget analysis. It discusses the various parameters that must be accounted for, such as location, frequency, antenna characteristics, rain attenuation levels, coupling and mispointing losses. Tables of rain attenuation values for different frequency bands and climatic zones are also presented. The document aims to explain all of the relevant factors that impact satellite communication links and must be considered in a link budget calculation.
Study on baltim field,b.sc graduation project 2015, by atam teamPE Mahmoud Jad
This document discusses petroleum engineering as a career. It covers the following key points:
- Petroleum engineering involves the production of hydrocarbons like oil and gas. It covers activities from exploration and production to refining.
- The field requires knowledge of disciplines like geology, geophysics, drilling, reservoir simulation, and economics. Engineers also need skills in using computer systems and automation.
- Duties of petroleum engineers include locating drill sites, setting up extraction machinery, and overseeing safe and efficient extraction and processing of petroleum products.
Linear regression an 80 year study of the dow jones industrial averageTehyaSingleton
Linear regression was used to model the relationship between the Dow Jones Industrial Average (DJIA) price and years since 1930 over an 80 year period. The results showed a strong positive linear relationship where DJIA price increases by about 125 points for each additional year. The slope of the linear model indicates that DJIA price rises as years since 1930 increases. The y-intercept of the model, which is the hypothetical DJIA price at year 0 (1930), provides meaningful context about the starting price over the 80 years analyzed.
Linear regression an 80 year study of the dow jones industrial averageTehyaSingleton
Linear regression was used to model the relationship between the Dow Jones Industrial Average (DJIA) price and years since 1930 over an 80 year period. The results showed a strong positive linear relationship where DJIA price increases by about 125 points for each additional year. The regression equation determined that DJIA price equals 125.3 times the number of years since 1930 minus 2.4425. While DJIA price has generally increased over the eight decades, the model suggests it would have been negative in 1930 based on the y-intercept value.
This document provides specifications for various sizes of structural steel profiles including circular, rectangular, and square shapes. It lists the nominal and actual dimensions, wall thickness, static properties such as area, moment of inertia, radius of gyration, plastic modulus, and elastic modulus for bending and torsion. Properties are provided for different steel grades including black and galvanized.
The Science and Practice of Cartographic Interactionreroth
The document contains survey results from participants responding to questions in different categories. It includes a table with the sum and average scores for each question category (e.g. EMG, ENV, EPI) and total scores. Some categories like "How" received the highest total scores, while categories like "Who" and "Where" received lower total scores on average. The data provides an overview of participant responses to different types of questions in a survey.
The document discusses using Weka data mining software to analyze economic data from Japan from 1970-2009. It performs three techniques: 1) Decision tree classification using M5P algorithm to predict liquidity based on other economic factors, 2) Linear regression to develop a mathematical model relating variables, 3) Clustering using k-means to group similar data points. The results of each technique are presented and interpreted to understand relationships between economic indicators.
This document contains tables with information for determining values of Yn and σn using the Gumbel Type I method and values of K for the log Pearson Type III distribution method. The log Pearson table lists K factor values for different recurrence intervals in years and skewness coefficients ranging from -3 to -1 and 1 to 3. The table can be used to determine K values based on the weighted skew coefficient and desired exceedance probability or return period.
Teacher and Classroom Context Effects on Student Achievement: Implications f...Divine Dizon
The document analyzes student test score data from 30 analyses to determine factors that affect student academic growth. It finds:
1) The most important factor is the individual teacher, as teacher effects were found to be additive and cumulative over grades.
2) The second most influential factor was the student's initial achievement level, though gains occurred across achievement levels.
3) Hundreds of studies on ability grouping since the 1930s have found no positive effects of ability grouping on student outcomes in any subject or grade.
The document provides summary statistics for 5 variables (v1-v5) measured in 200-201 observations. For each variable, it reports the number of valid and missing cases, measures of central tendency (mean, median, mode), dispersion (standard deviation, variance, range), and position (percentiles). Frequency tables display the count for each unique value in v1-v5. Stem-and-leaf plots further summarize the distribution of scores for each variable.
This document provides a summary of recommended mutual fund schemes in India across two categories: equity and tax saving. For each fund, it lists the NAV, 52-week high and low, launch year, overall and return ratings, risk rating, fund size, and return analysis for various time periods. A total of 11 equity funds and 7 tax saving funds are summarized. The funds represented span a range of fund sizes from large to mid-size and have overall ratings from 2 to 5 stars.
Tablas normal chi cuadrado y t student 1-semana 6Karla Diaz
The document contains a table of values for the standard normal cumulative distribution function F(z) for z-values ranging from -3.5 to 3.2 in increments of 0.1. The table provides the probability P(Z≤z) for finding a value less than or equal to z in a standard normal distribution.
December 2021 The Okanagan Real Estate Statistics Package VickyAulakh1
The document provides monthly real estate statistics for the Central Okanagan region of British Columbia. It includes information on inventory, sales, prices, and days to sell for December 2021 and year-to-date totals. Some key details are:
- Total listings in December were 383, down 18.16% from the previous year.
- 403 properties sold in December for a total of $329 million, declines of 22.2% and 17.82% respectively from the previous year.
- The average days to sell was 76, down 33.05% from the previous year.
The document appears to be performance results of a trading system using a 12-week moving average strategy on the Shanghai Stock Index from 1995 to 2009. It includes annual returns, maximum drawdowns, number of trades and other metrics for each year. The overall performance was positive with average annual returns of around 20% and maximum drawdowns generally below 25% except for a few years.
1) This document provides a chi-square table for determining the critical value for rejecting the null hypothesis at different confidence levels and degrees of freedom.
2) The table lists the chi-square value for confidence levels from 99% to 0.1% and degrees of freedom ranging from 1 to 30.
3) If the calculated chi-square value is greater than the corresponding value in the table for a given confidence level and degrees of freedom, the null hypothesis can be rejected.
This document summarizes the hydrological modeling and analysis of the Coata River basin located in Puno, Peru. Key points:
- The GR2M hydrological model was calibrated on the Coata River basin from 1971-1994, achieving Nash coefficients of 84.99% for streamflow.
- The model was validated on data from 1995-2006, with Nash coefficients of 89.55% for streamflow, indicating good model performance.
- Precipitation in the sub-basins was estimated using Kriging interpolation. Mean monthly streamflows were then generated for a designated intake point in the basin.
The document discusses control charts, which are statistical tools used to detect variability, consistency, and process improvement. Control charts can observe, detect, and prevent changes in a process's behavior over time. The document includes a table of sample data consisting of measurements from 11 variables (X1-X11) taken over 30 time periods. It also includes calculations of the mean and standard deviation for each variable.
- The document is a temperature conversion table that lists Celsius and Fahrenheit temperatures from -40°C to +165°C.
- It also includes information on non-freezing cold injury (NFCI), noting that it has an insidious onset, can be difficult to recognize and treat, and causes significant health issues for both military personnel and civilians working in cold conditions.
- To help reduce cases of NFCI, the document emphasizes the importance of recognizing those at risk, limiting their cold exposure, and using appropriate protective equipment in cold environments.
This document contains random numeric data and statistical analysis of that data. It includes a frequency table listing the values, categories, relative and absolute frequencies. It also provides measures of central tendency (mean, median, mode) and dispersion (standard deviation, variance) calculated from the data.
The cost of acquiring information by natural selectionCarl Bergstrom
This is a short talk that I gave at the Banff International Research Station workshop on Modeling and Theory in Population Biology. The idea is to try to understand how the burden of natural selection relates to the amount of information that selection puts into the genome.
It's based on the first part of this research paper:
The cost of information acquisition by natural selection
Ryan Seamus McGee, Olivia Kosterlitz, Artem Kaznatcheev, Benjamin Kerr, Carl T. Bergstrom
bioRxiv 2022.07.02.498577; doi: https://doi.org/10.1101/2022.07.02.498577
Evidence of Jet Activity from the Secondary Black Hole in the OJ 287 Binary S...Sérgio Sacani
Wereport the study of a huge optical intraday flare on 2021 November 12 at 2 a.m. UT in the blazar OJ287. In the binary black hole model, it is associated with an impact of the secondary black hole on the accretion disk of the primary. Our multifrequency observing campaign was set up to search for such a signature of the impact based on a prediction made 8 yr earlier. The first I-band results of the flare have already been reported by Kishore et al. (2024). Here we combine these data with our monitoring in the R-band. There is a big change in the R–I spectral index by 1.0 ±0.1 between the normal background and the flare, suggesting a new component of radiation. The polarization variation during the rise of the flare suggests the same. The limits on the source size place it most reasonably in the jet of the secondary BH. We then ask why we have not seen this phenomenon before. We show that OJ287 was never before observed with sufficient sensitivity on the night when the flare should have happened according to the binary model. We also study the probability that this flare is just an oversized example of intraday variability using the Krakow data set of intense monitoring between 2015 and 2023. We find that the occurrence of a flare of this size and rapidity is unlikely. In machine-readable Tables 1 and 2, we give the full orbit-linked historical light curve of OJ287 as well as the dense monitoring sample of Krakow.
(June 12, 2024) Webinar: Development of PET theranostics targeting the molecu...Scintica Instrumentation
Targeting Hsp90 and its pathogen Orthologs with Tethered Inhibitors as a Diagnostic and Therapeutic Strategy for cancer and infectious diseases with Dr. Timothy Haystead.
PPT on Direct Seeded Rice presented at the three-day 'Training and Validation Workshop on Modules of Climate Smart Agriculture (CSA) Technologies in South Asia' workshop on April 22, 2024.
TOPIC OF DISCUSSION: CENTRIFUGATION SLIDESHARE.pptxshubhijain836
Centrifugation is a powerful technique used in laboratories to separate components of a heterogeneous mixture based on their density. This process utilizes centrifugal force to rapidly spin samples, causing denser particles to migrate outward more quickly than lighter ones. As a result, distinct layers form within the sample tube, allowing for easy isolation and purification of target substances.
Signatures of wave erosion in Titan’s coastsSérgio Sacani
The shorelines of Titan’s hydrocarbon seas trace flooded erosional landforms such as river valleys; however, it isunclear whether coastal erosion has subsequently altered these shorelines. Spacecraft observations and theo-retical models suggest that wind may cause waves to form on Titan’s seas, potentially driving coastal erosion,but the observational evidence of waves is indirect, and the processes affecting shoreline evolution on Titanremain unknown. No widely accepted framework exists for using shoreline morphology to quantitatively dis-cern coastal erosion mechanisms, even on Earth, where the dominant mechanisms are known. We combinelandscape evolution models with measurements of shoreline shape on Earth to characterize how differentcoastal erosion mechanisms affect shoreline morphology. Applying this framework to Titan, we find that theshorelines of Titan’s seas are most consistent with flooded landscapes that subsequently have been eroded bywaves, rather than a uniform erosional process or no coastal erosion, particularly if wave growth saturates atfetch lengths of tens of kilometers.
1. Appendix K
The F Distribution
The F distribution is an asymmetric distribution that has a minimum value
of 0, but no maximum value. The curve reaches a peak not far to the right of
0, and then gradually approaches the horizontal axis the larger the F value
is. The F distribution approaches, but never quite touches the horizontal
axis.
The F distribution has two degrees of freedom, d1 for the numerator,
d2 for the denominator. For each combination of these degrees of freedom
there is a different F distribution. The F distribution is most spread out
when the degrees of freedom are small. As the degrees of freedom increase,
the F distribution the F distribution is less dispersed.
Figure 1.1 shows the shape of the distribution. The F value is on the
horizontal axis, with the probability for each F value being represented by
the vertical axis. The shaded area in the diagram represents the level of
significance α shown in the table.
There is a different F distribution for each combination of the degrees
of freedom of the numerator and denominator. Since there are so many F
distributions, the F tables are organized somewhat differently than the tables
for the other distributions. The three tables which follow are organized by
the level of significance. The first table gives F values for that are associated
with α = 0.10 of the area in the right tail of the distribution. The second
table gives the F values for α = 0.05 of the area in the right tail, and the
third table gives F values for the α = 0.01 level of significance. In each of
these tables, the F values are given for various combinations of degrees of
freedom.
In order to use the F table, first select the significance level to be used,
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2.
3. Figure K.1: The F distribution
and then determine the appropriate combination of degrees of freedom. For
example, if the α = 0.10 level of significance is selected, use the first F table.
If there are 5 degrees of freedom in the numerator, and 7 degrees of freedom
in the denominator, the F value from the table is 2.88. This means that
there is exactly 0.10 of the area under the F curve that lies to the right of
F = 2.88.
When the significance level is α = 0.05, use the second F table. If there
are 20 degrees of freedom in the numerator, and 5 degrees of freedom in the
denominator, then the critical F value is 4.56. This could be written
F20,5;0.05 = 4.56
That is, for 20 and 5 degrees of freedom, the F value that leaves exactly 0.05
of the area under the F curve in the right tail of the distribution is 4.56.
For the α = 0.01 level of significance, the third F table is used. Suppose
that there is 1 degree of freedom in the numerator and 12 degrees of freedom
in the denominator. Then
F1,12;0.01 = 9.33.
An F value of 9.33 leaves exactly 0.01 of area under the curve in the right
tail of the distribution when there are 1 and 12 degrees of freedom.
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