test1musm: Tests the hypothesis over population mean based on one sample...

In svplots: Sample Variance Plots (Sv-Plots)

Description

Decision on hypothesis testing over single mean is made by graphing sample and population Sv-plot2s along with the threshold line. Intersecting Sv-plots on or above the horizontal line concludes the alternative hypothesis.

Usage

test1musm(n=20,xbar=3,s=2,mu0=4.5,alpha=0.05,
                 unkwnsigma=TRUE,sigma=NULL,xlab="x",
                 title="Single mean summary: Hypothesis testing by Sv-plot2",
                 samcol="grey5",popcol="grey45",thrcol="black",...)

Arguments

n	sample size, n=20 by default.
xbar	sample average, xbar=3 by default.
s	sample standard deviation, s=2 by default.
mu0	hypothesized population mean, mu0=4.5 by default.
alpha	significance level, alpha=0.05 by default.
unkwnsigma	population standard deviation is unknown, TRUE by default.
sigma	population standard deviation, NULL by default.
xlab	x-axis label, x by default.
title	title of the plot, Single mean: Hypothesis testing by Sv-plot2 by default by default.
samcol	sample Sv-plot2 color, grey5 by default.
popcol	sample Sv-plot2 color, grey45 by default.
thrcol	threshold color, black.
...	other graphical parameters.

Value

Decision on testing hypotheses over single population mean by Sv-plot2.

References

Wijesuriya, U. A. (2020). Sv-plots for identifying characteristics of the distribution and testing hypotheses. Communications in Statistics-Simulation and Computation, doi: 10.1080/03610918.2020.1851716.

Examples

 ## For summary data
    test1musm(n=20,xbar=3,s=2,mu0=4.5,alpha=0.05, unkwnsigma=TRUE,sigma=NULL,xlab="x",
    title="Single mean summary: Hypothesis testing by Sv-plot2",
    samcol="grey5",popcol="grey45",thrcol="black")

svplots documentation built on April 7, 2021, 9:07 a.m.