JT FORBES | University of the Punjab, Lahore, Pakistan (original) (raw)
Related Authors
Kwame Nkrumah University of Science and Technology
Uploads
Papers by JT FORBES
This paper introduces two basic concepts in statistics: (i) descriptive statistics and (ii) infer... more This paper introduces two basic concepts in statistics: (i) descriptive statistics and (ii) inferential statistics. Descriptive statistics is the statistical description of the data set. Common description include: mean, median, mode, variance, and standard deviation. Inferential statistics is the drawing of inferences or conclusion based on a set of observations. These observations had been described by the descriptive statistics. From these descriptive statistics, an inference is made subject to a predefined limit or error or confidence interval. The error in concluding the inference is called inferential error. There are two types of inferential errors: (i) Type I error and (ii) Type II error. Type I error occurs when the researcher accepts the alternative hypothesis despite contrary evidence. Type II evidence occurs when the researcher rejects the alternative hypothesis despite supporting evidence.
This paper introduces two basic concepts in statistics: (i) descriptive statistics and (ii) infer... more This paper introduces two basic concepts in statistics: (i) descriptive statistics and (ii) inferential statistics. Descriptive statistics is the statistical description of the data set. Common description include: mean, median, mode, variance, and standard deviation. Inferential statistics is the drawing of inferences or conclusion based on a set of observations. These observations had been described by the descriptive statistics. From these descriptive statistics, an inference is made subject to a predefined limit or error or confidence interval. The error in concluding the inference is called inferential error. There are two types of inferential errors: (i) Type I error and (ii) Type II error. Type I error occurs when the researcher accepts the alternative hypothesis despite contrary evidence. Type II evidence occurs when the researcher rejects the alternative hypothesis despite supporting evidence.