Summary on Statistics
Chapter one summary
The use of statistics is research is noted in this chapter. It reveals that statistical procedure could be segregated into two section and they are descriptive and inferential. In analyzing both descriptive statistics does exactly what it says, it describes the set of data. The problem is presented and descriptive statistical basically describes what the data has to say about the same issue. However inferential statistics main goal is making predictions or inferences about a population from observations and analyses of a sample. That is, we can take the results of an analysis using a sample and can generalize it to the larger population that the sample represents. (Howelll, 2011) Also stated that a population is referred to as a “complete set of events in which you are interested. Samples was defined as “Set of actual observations; subset of a population.” A statistic is when we measure that is based on a sample; the parameter is described as the matching measure of the entire surveyed population. It shows the effect and the importance of each in the statistics, differences versus relationship, was also mentioned in chapter one and defined as question that are being asked in different ways to see the link between them.
Two types of data were presented and they were numerical data and categorical data. Numerical data is categorized into two parts, the first being measurement data, this is where event or objects are being measured and categorical data, gives a specific count of what happens.
References
Howelll, D. (2011). Fundamental Statistics for behavioural science. USA: Cengage Learning
The use of statistics is research is noted in this chapter. It reveals that statistical procedure could be segregated into two section and they are descriptive and inferential. In analyzing both descriptive statistics does exactly what it says, it describes the set of data. The problem is presented and descriptive statistical basically describes what the data has to say about the same issue. However inferential statistics main goal is making predictions or inferences about a population from observations and analyses of a sample. That is, we can take the results of an analysis using a sample and can generalize it to the larger population that the sample represents. (Howelll, 2011) Also stated that a population is referred to as a “complete set of events in which you are interested. Samples was defined as “Set of actual observations; subset of a population.” A statistic is when we measure that is based on a sample; the parameter is described as the matching measure of the entire surveyed population. It shows the effect and the importance of each in the statistics, differences versus relationship, was also mentioned in chapter one and defined as question that are being asked in different ways to see the link between them.
Two types of data were presented and they were numerical data and categorical data. Numerical data is categorized into two parts, the first being measurement data, this is where event or objects are being measured and categorical data, gives a specific count of what happens.
References
Howelll, D. (2011). Fundamental Statistics for behavioural science. USA: Cengage Learning
References: Howelll, D. (2011). Fundamental Statistics for behavioural science. USA: Cengage Learning .