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Geregistreerd op: 23 Apr 2018
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 Geplaatst: 10-07-2018 03:09:37 Onderwerp: Zimbabwean |
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Zimbabwean President Robert Mugabe addresses a gathering in Harare Justin Bailey Womens Jersey , Zimbabwe, Nov. 1, 2017. Robert Mugabe on Wednesday reaffirmed his support for death penalty in the wake of increased murder cases in the country. (Xinhua)
HARARE, Nov. 1 (Xinhua) -- Zimbabwean President Robert Mugabe on Wednesday reaffirmed his support for death penalty in the wake of increased murder cases in the country.
He decried the increase in rape and murder cases, and called on the nation to respect the sanctity of human life.
His call came after the recent murder of a Roman Catholic Sister Ruvadiki Plaxedes Kamundiya in Mutoko, Mashonaland East Province.
A man has been arrested for suspectedly raping the woman before killing her and throwing the body in a nearby dam.
Mugabe, a devout Catholic, said such callous acts call for the harshest penalty.
"Let's restore the death penalty. People have lost respect for human life. They are killing others recklessly and willy nilly. Is that what we fought the country for?" Mugabe said.
Zimbabwe's constitution adopted in 2013 allows men aged between 18 and 70 convicted on aggravated murder to be sentenced to death by hanging while women and children are exempted from the punishment.
However, the Zimbabwean government has not carried out any executions since 2005 partly due to the absence of hangman.
At least 80 convicts are on the death row.
Zimbabwe's civil society has in the past called for the abolishment of the death penalty, saying the sentence is cruel and a violation of the right to life.
Several countries in southern Africa including Mozambique, Angola, Namibia and South Africa have abolished the death penalty.
BEIJING, Oct. 27 (Xinhua) -- The report delivered by Xi Jinping, general secretary of the Communist Party of China (CPC) Central Committee, to the 19th CPC National Congress on Oct.18, has been published by People's Publishing House.
The report, "Secure a decisive victory in building a moderately prosperous society in all respects and strive for the great success of socialism with Chinese characteristics for a new era," was available at Xinhua Bookstores across the country from Friday.
The goal of this paper is to put some light on the difference between the types of statistical analysis. The two main basic branches in science known as statistics are Descriptive and Inferential statistics. These branches are tighly associated, but yet we can clearly establish a differentiation between them.
Descriptive statistics corresponds to essentially the act of defining characteristics of a statistical measurement. Descriptive statistics is based upon mechanisms and methods employed to organize and summarize raw data. In order to categorize the data from a random sample that is collected, the majority of statisticians use graphs, charts, tables and standard measurements such as averages, percentiles, and measures of variation.
Descriptive statistics are often employed during a baseball season. Baseball statisticians spend a great deal of time and effort examining the data they get from the games and summarizing, categorizing to discover regularities to enlighten the audience. There are many examples that would make this apparent. For example in 1948 there were over 600 games played in the American League. To determine who had the best batting average in that season, you would need a lot of effort. You would need to take the official scores for each game, make a list each batter, compute the results of each time at bat, add the total number of hits, and the total number of times at bat in order to calculate with a batting average. In 1948 the American League player with the top batting average was Ted Williams. But, if your objective is to know who the top 25 players for the year were, the statistical calculations would become increasingly complicated.
The use of computer statistical programs and the capability to incorporate a lot of statistical functions on spreadsheet programs such as Excel implies that more and more complicated and detailed information can be collected, formatted and presented with only a a couple of keystrokes. All this have empowered the sport statisticians to a further degree and they are able to handle massive amounts of data and explore the data in a substantially more systematic way.
Inferential statistics is based upon choosing and measuring the trustworthiness of conclusions about a population parameter based on information from a reduced portion of that population, which is a random sample. Among the many uses of inferential statistics, political predictions ar one good example. In order to be able to attempt to predict who the winner of a presidential election is likely to be, in most of the cases a sample of a few thousand carefully chosen sample of Americans are asked which way they will be voting. From the answers given to this question, statisticians are able to predict, or infer who the general population will vote for with a surprinsingly high level of confidence. Clearly, the fundamental elements in inferential statistics are choosing which members of the general population will be polled and what questions will be asked. Imagine a situation where there is a choice of two candidates, and the polled population, or sample population is asked: Are you planning to vote for X in the upcoming election? the only alternatives for the answer will be either yes, no, or undecided. Based on the results you should be able to determine that 51% of the sample group will Give their vote to Candidate X.
Turning to inferential statistics, you can {predict with a certain degree of confidence that Candidate X will be the winner in the election. Nevertheless, in some cases, the sampling procedure may have given rise to incorrect infere. |
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