Input: Sample size n; mean of difference of data d_bar; Standard deviation of difference of data s; Confidence level CL (in percentage without percentage symbol)

Code to carryout Hypothesis Testing for the population mean from matched-pair sample data when data are given and population standard deviation is not given.

Input: Difference of the data DiffData; Alternative hypothesis H1 ('less', 'greater', or 'two.sided'); Level of significance alpha

Code to carryout Hypothesis Testing for the population mean from matched-pair sample data when data are not given and population standard deviation is not given.

Input: Sample size n; mean of difference of data d_bar; Standard deviation of difference of data s; Alternative hypothesis H1 ('less', 'greater', or 'two.sided'); Level of significance alpha

Code to find Confidence Interval for the difference of means of 2 independent populations when data are given and population standard deviations are not given but assumed to be equal.

Input: Sample data x1; Sample data x2; Confidence level CL (in percentage without percentage symbol)

Code to find Confidence Interval for the difference of means of 2 independent populations when data are given and population standard deviations are not given.

Input: Sample data x1; Sample data x2; Confidence level CL (in percentage without percentage symbol)

Code to find Confidence Interval for the difference of means of 2 independent populations when data are given and population standard deviations are given.

Input: Sample data x1; Sample data x2; Population standard deviation sigma1; Population standard deviation sigma2; Confidence level CL (in percentage without percentage symbol)

Code to find Confidence Interval for the difference of means of 2 independent populations when data are not given and population standard deviations are not given but assumed to be equal.

Input: Sample size n1; Sample size n2; Sample mean x1_bar; Sample mean x2_bar; Sample standard deviation s1; Sample standard deviation s2; Confidence Level CL (in percentage without percentage symbol)

Code to find Confidence Interval for the difference of means of 2 independent populations when data are not given and population standard deviations are not given.

Input: Sample size n1; Sample size n2; Sample mean x1_bar; Sample mean x2_bar; Sample standard deviation s1; Sample standard deviation s2; Confidence Level CL (in percentage without percentage symbol)

Code to find Confidence Interval for the difference of means of 2 independent populations when data are not given and population standard deviations are given.

Input: Sample size n1; Sample size n2; Sample mean x1_bar; Sample mean x2_bar; Population standard deviation sigma1; Population standard deviation sigma2; Confidence Level CL (in percentage without percentage symbol)

Code to find Confidence Interval for difference of proportions of 2 independent populations.

Input: Number of subjects from population 1 fall in category of interest x1; Sample size n1; Number of subjects from population 2 fall in category of interest x2; Sample size n2; Confidence level CL (in percentage without percentage symbol)

Code to carryout Hypothesis Testing for difference of means of 2 independent populations when data are given and population standard deviations are not given but assumed to be equal.

Input: Sample data x1; Sample data x2; Alternative hypothesis H1 ('less', 'greater', or 'two.sided')

Code to carryout Hypothesis Testing for difference of means of 2 independent populations when data are given and population standard deviations are not given.

Input: Sample data x1; Sample data x2; Alternative hypothesis H1 ('less', 'greater', or 'two.sided')

Code to carryout Hypothesis Testing for difference of means of 2 independent populations when data are given and population standard deviations are given.

Input:Sample data x1; Sample data x2; Population standard deviation sigma1; Population standard deviation sigma2; Alternative hypothesis H1 ('less', 'greater', or 'two.sided'); Level of significance alpha

Code to carryout Hypothesis Testing for difference of means of 2 independent populations when data are not given and population standard deviations are not given but assumed to be equal.

Input: Sample size n1; Sample size n2; Sample mean x1_bar; Sample mean x2_bar; Population standard deviation sigma1; Population standard deviation sigma2; Alternative Hypothesis H1 ('less', 'greater', or 'two.sided'); Level of significance alpha

Code to carryout Hypothesis Testing for difference of means of 2 independent populations when data are not given and population standard deviations are not given.

Input: Sample size n1; Sample size n2; Sample mean x1_bar; Sample mean x2_bar; Sample standard deviation s1; Sample standard deviation s2; Alternative Hypothesis H1 ('less', 'greater', or 'two.sided'); Level of significance alpha

Code to carryout Hypothesis Testing for difference of means of 2 independent populations when data are not given and population standard deviations are not given.

Input: Sample size n1; Sample size n2; Sample mean x1_bar; Sample mean x2_bar; Population standard deviation sigma1; Population standard deviation sigma2; Alternative Hypothesis H1 ('less', 'greater', or 'two.sided'); Level of significance alpha

Code to carryout Hypothesis Testing for difference of proportions of 2 independent populations.

Input: Number of subjects from population 1 fall in category of interest x1; Sample size n1; Number of subjects from population 2 fall in category of interest x2; Sample size n2; Alternative Hypothesis H1 ('less', 'greater', or 'two.sided'); Level of significance alpha

## Confidence Intervals and Hypothesis Testings for 2-Sample Data

Input:Difference of the dataDiffdata; Confidence levelCL(in percentage without percentage symbol)Input:Sample sizen; mean of difference of datad_bar; Standard deviation of difference of datas; Confidence levelCL(in percentage without percentage symbol)Input:Difference of the dataDiffData; Alternative hypothesisH1('less', 'greater', or 'two.sided'); Level of significancealphaInput:Sample sizen; mean of difference of datad_bar; Standard deviation of difference of datas; Alternative hypothesisH1('less', 'greater', or 'two.sided'); Level of significancealphaInput:Frequencyf12; Frequencyf21; Alternative hypothesisH1('less', 'greater', or 'two.sided'); Level of significancealphaInput:Sample datax1; Sample datax2; Confidence levelCL(in percentage without percentage symbol)Input:Sample datax1; Sample datax2; Confidence levelCL(in percentage without percentage symbol)Input:Sample data x1; Sample data x2; Population standard deviation sigma1; Population standard deviation sigma2; Confidence levelCL(in percentage without percentage symbol)Input:Sample sizen1; Sample sizen2; Sample meanx1_bar; Sample meanx2_bar; Sample standard deviations1; Sample standard deviations2; Confidence Level CL (in percentage without percentage symbol)Input:Sample sizen1; Sample sizen2; Sample meanx1_bar; Sample meanx2_bar; Sample standard deviations1; Sample standard deviations2; Confidence Level CL (in percentage without percentage symbol)Input:Sample sizen1; Sample sizen2; Sample meanx1_bar; Sample meanx2_bar; Population standard deviationsigma1; Population standard deviationsigma2; Confidence Level CL (in percentage without percentage symbol)Input:Number of subjects from population 1 fall in category of interestx1; Sample sizen1; Number of subjects from population 2 fall in category of interestx2; Sample sizen2; Confidence levelCL(in percentage without percentage symbol)Input:Sample datax1; Sample datax2; Alternative hypothesisH1('less', 'greater', or 'two.sided')x1; Sample datax2; Alternative hypothesisH1('less', 'greater', or 'two.sided')TwoI_HT_Data_For_Mue_No_Sigma.RInput:Sample datax1; Sample datax2; Population standard deviationsigma1; Population standard deviationsigma2; Alternative hypothesisH1('less', 'greater', or 'two.sided'); Level of significancealphaInput:Sample sizen1; Sample sizen2; Sample meanx1_bar; Sample meanx2_bar; Population standard deviationsigma1; Population standard deviationsigma2; Alternative HypothesisH1('less', 'greater', or 'two.sided'); Level of significancealphaInput:Sample sizen1; Sample sizen2; Sample meanx1_bar; Sample meanx2_bar; Sample standard deviations1; Sample standard deviations2; Alternative HypothesisH1('less', 'greater', or 'two.sided'); Level of significancealphaInput:Sample sizen1; Sample sizen2; Sample meanx1_bar; Sample meanx2_bar; Population standard deviationsigma1; Population standard deviationsigma2; Alternative HypothesisH1('less', 'greater', or 'two.sided'); Level of significancealphaInput:Number of subjects from population 1 fall in category of interestx1; Sample sizen1; Number of subjects from population 2 fall in category of interestx2; Sample sizen2; Alternative HypothesisH1('less', 'greater', or 'two.sided'); Level of significancealpha