scholarly journals Upper Percentiles of the F Distribution

2021 ◽  
pp. 653-658
Keyword(s):  
F Distribution

Sebaran Peluang Acak Kontinu, Distribusi Normal, Distribusi Normal Baku, Distribusi T, Distribusi Chi Square, dan Distribusi F

2020 ◽  
Author(s):  
Ahmad Sudi Pratikno
Keyword(s):  
Hypothesis Test ◽  
Standard Normal Distribution ◽  
Process Data ◽  
Nominal Data ◽  
Chi Square ◽  
Stable Curve ◽  
Standard Normal ◽  
Research Findings ◽  
F Distribution ◽  
T Distribution

In statistics, there are various terms that may feel unfamiliar to researcher who is not accustomed to discussing it. However, despite all of many functions and benefits that we can get as researchers to process data, it will later be interpreted into a conclusion. And then researcher can digest and understand the research findings. The distribution of continuous random opportunities illustrates obtaining opportunities with some detection of time, weather, and other data obtained from the field. The standard normal distribution represents a stable curve with zero mean and standard deviation 1, while the t distribution is used as a statistical test in the hypothesis test. Chi square deals with the comparative test on two variables with a nominal data scale, while the f distribution is often used in the ANOVA test and regression analysis.

A note on the calculation of probabilities in an F -distribution

1964 ◽  
Vol 7 (12) ◽  
pp. 725 ◽  
Author(s):  
K. W. Smillie ◽  
T. H. Anstey
Keyword(s):  
F Distribution

scholarly journals AMSM- Sampling Distribution- Chapter Three

2018 ◽  
Author(s):  
Mohammed R. Dahman
Keyword(s):  
Limit Theorem ◽  
Comprehensive Analysis ◽  
Sampling Distribution ◽  
Sampling Strategies ◽  
Population Parameters ◽  
Chi Square ◽  
The Central Limit Theorem ◽  
F Distribution ◽  
The Common ◽  
T Distribution

Introduction of differences between population parameters and sample statistics are discussed. Followed with a comprehensive analysis of sampling distribution (i.e. definition, and properties). Then, we have discussed essential examiners (i.e. distribution): Z distribution, Chi square distribution, t distribution and F distribution. At the end, we have introduced the central limit theorem and the common sampling strategies.

PENGARUH UPAH MINIMUM TERHADAP TINGKAT PRODUKTIVITAS KERJA PT. TELKOM CABANG BOGOR

PARAMETER ◽  
2021 ◽  
Vol 5 (2) ◽  
pp. 1-13
Author(s):  
Rini Ardista
Keyword(s):  
Linear Regression ◽  
Minimum Wage ◽  
Confidence Level ◽  
Work Productivity ◽  
Sampling Technique ◽  
Simple Linear Regression ◽  
Significance Level ◽  
Production Section ◽  
F Distribution ◽  
Linearity Test

This research aims to determine whether the minimum wage is related to the level of work productivity of the production department at PT. TELKOM CABANG BOGOR, to find out whether the minimum wage affects the work productivity of the employees of PT. TELKOM CABANG BOGOR. The sample used was 100 respondents taken by accidental sampling technique in the PT. TELKOM CABANG BOGOR. This research uses simple linear regression. A tool to measure it is assisted by SPSS version 22. The results of the linearity test of the effect of the minimum wage on work productivity, there is a significance value of 0.115 which is greater than 0.05, so there is a linear relationship. The results of the t test show that the minimum wage has a significance level of 0.115 and the t value of 3.345> t table of 1.984 is greater than 0.05. From the results of the F test it can also be concluded that the F-table at df1 = 2 df2 = 97 is obtained from the F distribution table of 3.09 at the 95% confidence level (Alpha = 5%). This proves that Fcount (88,986)> from Ftable (3.09), while the significance (0,000) <from alpha is at the 95% confidence level (Alpha 5%). So that Ha which says there is a significant influence between the minimum wage on the work productivity of the production section at PT. TELKOM CABANG BOGOR accepted. While Ho, which says there is no significant effect between minimum wages on work productivity at PT. TELKOM CABANG BOGOR rejected.

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