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Sunday, 5 February 2017

t test

 t.test(r,mu=0,alt="two.sided",conf=0.95)

One Sample t-test

data:  r
t = 8.442, df = 751, p-value < 2.2e-16
alternative hypothesis: true mean is not equal to 0
95 percent confidence interval:
 306.7586 492.6578
sample estimates:
mean of x
 399.7082 
Posted by Shikha at 11:07
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Blog Archive

  • ▼  2017 (28)
    • ▼  February (28)
      • R: multiple imputation in R
      • sign function in R
      • R: multiple imputation in R
      • Missing values in R (Missing values treatment )
      • multiple imputation in R
      • multiple imputation
      • partial correlation coefficient in R
      • you can buy your effective stuff at
      • Solved case study for R
      • how to remove heteroscedasticity in r
      • normality test OF RESIDUAL in R
      • how to compare two model in r using ANOVA
      • TO SHOW F= T^2
      • t test
      • anova
      • Correlations pearson, spearman or kendall.
      • Logistic Regression Model
      • Scatter Plots,Boxplots,Histogram in R
      • Make test set predictions in R
      • HOW to find R-squared in R
      • Linear Regression in R
      • R: covariance matrix plot
      • covariance matrix plot
      • data for R
      • code-of-r-_casestudy
      • MULTICOLLINEARTY
      • find all your r coding
      • intepretation of tapply and tapply function
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