Academic journal article Ife Psychologia.

statistical data and 3d graphics about widows in the town of melazzo

This study examined the psychological implications of Bereavement on some selected Widows and Widowers in Oyo Town, Nigeria.

The descriptive survey design was used while sample was selected using simple random sampling technique out of the target population.

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The questionnaire has two sections. Section A contained the biographical data while Section B has 20 items rated in four Likert tail. The Reliability Co-efficient was 0. Three Hypotheses were drawn and tested at 0. The three hypotheses were significant while a mean difference were noticed among the variables. In conclusion, it was found that bereavement is associated with various experiences which needed to be monitored by psychological experts.

Loosing someone who is closer during the middle life may be too challenging and frustrating. During the Middle life, many people experience a severe bereavement, sometimes through the loss of one or both parents.

In some cases, loosing partners, children or relatives through illness or diseases can be traumatic most time. Perhaps because of this, death is often regarded as an unthinkable event which people dislike talking about. At times, to talk about death, it is often regarded to as psychologically unhealthy. In some cases, when people fail to acknowledge death, it increases and sometimes magnifies the distress those bereaved experienced.

statistical data and 3d graphics about widows in the town of melazzo

Parkes found that widows consulted their doctors more often in the first six months after bereavement than they had done before. This is so because emotional turmoil takes its physical toll on them than it is better imagined. Parkes showed that Widows and widowers were ten times as likely to die themselves in the year immediately following bereavement.

Parkes, Benjamin and Fitzgerald in a related study found that the death usually occur through selfneglect, suicide of one form or the another, or as a result of cardiac illness accompanied with some stress. Similarly, in a study, Parkes and Weiss discovered that grief is normally associated with bereavement. In this study, it was found that grief could either be normal or abnormal. Normal grief follows three phases which include denial, pining and depression.

In addition, bereaved persons express disbelief that the death has really happened, refusing to see it as real. It is a common reaction in people who have been bereaved through accidents to remark that it took them some time before they could believe that it had actually happen because it seems to be a little unreal to people when they are first told about it.

The bereaved person also longs for the other intensely and can become veiy restless and fidgety. It involves a certain amount of unconscious searching for the dead person and often at this time, they will think they have caught a fleeting glimpse of the lost person in a crowd or at a distance.

When this happens, they can become very worried, thinking that they may be hallucinating or losing their grip on reality. Sanders stated that the reaction to bereavement is influenced by the relationship the bereaved person had to the person who died, and the way that person died.

The bereaved person might feel numb or unreal and this change in reality can feel scaiy and isolating. It may be helpful to seek the advice and support of a guidance Counsellor during this time.

An unknown error has occurred. Please click the button below to reload the page. If the problem persists, please try again in a little while. Read preview. Read preview Overview. Roberts Lawrence Erlbaum Associates, Stata 16 is a complete statistical software package for analysis, data management, and graphical visualizations. It is mainly use in bio-medicine to examine data patterns. The graphics capabilities are also easy to use and very high quality.

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Kenya National Bureau of Statistics. All Rights Reserved.Exploratory data analysis EDA is often the first step to visualizing and transforming your data. EDA is fundamentally a creative process - it is not an exact science. It requires knowledge of your data and a lot of time. At the most basic level, it involves answering two questions. EDA relies heavily on visualizations and graphical interpretations of data.

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The ultimate goal is to generate simple summaries of the data that inform your question s. It is not the final stop in the data science pipeline, but still an important one. Graphs generated through EDA are distinct from final graphs.

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An appropriate technique would be a scatterplot:. This is a great exploratory graph: it took just three lines of code and clearly establishes a positive relationship between the flipper length and body mass of a penguin.

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But what if I were publishing this graph in a research note? I would probably submit something to the editor that looks like this:. These additional details are very helpful in communicating the meaning of the graph, but take a substantial amount of time and code to write. The Department of Education collects annual statistics on colleges and universities in the United States. I have included a subset of this data from in the rcfss library from GitHub. Each row represents a different four-year college or university in the United States.

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statistical data and 3d graphics about widows in the town of melazzo

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statistical data and 3d graphics about widows in the town of melazzo

It offers over chart types to fit your data. If you're looking for a data viz tool with mapping, InstantAtlas is worth checking out. This tool enables you to create highly-interactive dynamic and profile reports that combine statistics and map data to create engaging data visualisations.

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