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Statistics

Data and Descriptive Statistics

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Data and Descriptive Statistics

The incorporation of descriptive statistics is a summary of coefficients for a given set of data. The data could provide the representation of a sample or the whole population involved in the analysis. This type of statistics is useful in understanding and describing the features found in particular sets of data. The description is carried out by summaries of the measures and samples of the given data. The standard categories of descriptive statistics are inclusive of the measure of central tendency, which involves mode, median, and mean. These are the primary examples utilized in all levels of statistics and mathematics.

Sampling Method

The method of data collection intended for the research is the use of questionnaires among college students found in the university. The selection of the respondent will be random among the chosen sample population for conclusions and discussions. The use of the internet would also assist in issuing the questionnaires, and some of the respondents are to be reached by telephone. Questionnaires will be issued randomly, but care will be observed to avoid being biased or leaning towards one gender.

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The research is intended to take place in the university upon reporting back, and the submission is expected after about three months. Random sampling sometimes suffers from the challenge of being biased towards a certain age or gender. Such biasness consequently leads to making unreliable and invalid information and conclusions.

Data

Data were collected using a survey of about twenty cases according to the set plans. To meet the practices of good ethics, for surveying the human topics, it is crucial to consent to be under survey, and there is protection to their information. The table below represents a sample representation of data as expected in the research. Tables, figures, and charts were used to represent the collected data for a better comparison and conclusions.

Table 1. Sample data entry.

ParticipantVariable 1: study hoursVariable 2: the amount of knowledge
13Medium
25High

 

A population of about 25 respondents was deemed sufficient for accomplishing the set objectives of the research. Comparison and discussion were carried out to come up with valid and reliable conclusions.

Variable 1- Descriptive Statistics

The first variable will be the number of hours utilized in studying mathematics. The subject of mathematics requires constant practice, and this is realized by the time spent studying. Different summaries will be performed, including interquartile range, five-number summary, standard deviation, and mean. Excel spreadsheets will be utilized to plot histograms for describing the distribution of the data. The shape of the data, together with a comparison of medians and means, will then be discussed. Mean is a better way of describing the center of the data as it indicates the center’s most valuable. Median is the middle number, which might not be the central value of the data set.

  Remember! This is just a sample.

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