STATS&PROB

• Population - The entire set of items from which you draw data for a statistical study​
• Sample - the portion of the population that is selected and observed​
• Sample Size - The number of the sample​
• Sampling Units - all of the members in the sample size​
• Sampling Frame - the listing of all possible sampling units​
• Simple Random Sampling - A sampling technique in which every element of the population has the same chance of being selected for inclusion in the sample.​
• Systematic Sampling​ - Every kth element of the population until the desired number of elements in the sample is obtained.​
• Stratified Sampling​ - The population is first divided into strata and then the samples are randomly selected from each stratum.​
• Cluster or Area Sampling​ - The population is divided into clusters. From these clusters will be drawn.​
• Estimation - In this type of inference, we estimate the value of a population parameter​
• Testing - In this type of inference, we formulate a decision about the value of a population parameter​
• Regression - In this type of inference, we make predictions or forecasts about the value of a population parameter​
• Random Sampling - are used to achieve unbiased results in a study​
• Parameter - Also referred to as " population mean ", The entire population is described
• Statistic - Also referred to as " Sample Mean" , Describes the sample