What is the usefulness of statistics in Nursing?
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Statistics is an useful tool for many fields including Nursing.   The no. of cases of a particular can be studied which adds to the experience.  The percentage levels of cure and the allied information helps to know the importance of attending to a patient fast and also deciding the specific intervals.   though Doctors do this, a knowledge will help to perform effieciently.\nVR
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http://www.statistics.gov.uk/
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Considering the data you had shown,\nyou must use a one-tailed test.\nyour null hypothesis would be:\nHo: There is no significant difference between the mean amount of time devoted to patient care per week by doctors using conventional methods and alternative methods.\nHo: mean(conventional) = mean(alternative)\n\nyour alternative hypothesis must be:\nHa: The mean amount of time devoted to patient care per week by doctors using conventional methods exceeds that of doctors using alternative methods\nHa: mean(conventional) > mean(alternative)\n\nNow that you have the hypotheses, next is to set the level of significance but it's all up to you depending on how confident are that you will not commit any kind of error.\n\nAnd your asking about the appropriate test?\nFor me, the choice depends on the given.\nBut you can only choose from the second and fourth test since you have to use a directional test (one-tailed test).\n\nUse Z-test if the standard deviation or variance of the population is known.\nUse t-test if the standard deviation or variance of the population is unknown.\nThat's the general rule of choosing the appropriate test.\nBut there's another consideration in the selection of test.\nyou must also take into consideration the number of your sample, whether it exceeds 30 or not.\n\nThat's all. I hope I've been a great help to you. Please inform me if there is something wrong with my lecture here.\nthank you.
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The difficulty level of Introductory Statistics, like any class, really depends on your professor.  Is he/she going to allow you use of a good calculator (one that can find standard deviations, factorials, etc.) or an equation sheet?  There are a lot of equations and distributions to remember, so it may be hard if you aren't allowed to use an equation sheet.  Some professors may teach the class based on a computer program, for example DDXL or Excel.  Some professors may opt for a project based final (easier than a test in my opinion) or may require you to sit a final exam.  \n\n"Hardness" is relative...suggestions would be to go to class, make sure you understand the distributions and concepts (permutations and combinations is fairly difficult but not generally a major part of the class) and do your homework.  If you need help with a few problems there's always Yahoo answers...I'll be glad to help!  :-)
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Storing up to date statistics to help decide on best treatments for diseases.
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1. Jessica M Utts and Robert F Heckard (2006) Statistical Ideas and Methods, Thomson Brookes/Cole \n*** (3 stars)\n2. Gerald Keller and Brian Warrack, Statistics for Management and Economics –6th Edition, Duxbury. This textbook comes with a CD-ROM comprising applets for interactive examples, a student study guide and data files.\n****(4 stars) - quite good
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Statistics started out as a study of chance and the odds of games. \n\nThe original use for statistics was in predicting chance events. Jacques Bernoulli (1654-1705) wrote "The Art of Conjecture" which is the art of evaluating as exactly as possible the probabilities of things. \n\nGerolamo Cardana (1501-1576) Wrote the first book on probability, 'Liber de Ludo Aleae' which is about games of chance.\n\nRene Descartes (1596-1650) Believed that the universe had a mathematical structure. Much of his philosophy lies in that base. Although his stuff is more towards algebra than statsistics per se.\n\nRonald Fisher (1890-1962) In 1922 he gave a new definition of statistics. Its purpose was the reduction of data and he identified three fundamental problems.
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In nursing, mathematics is used to determine correct dosages of medications.  Nurses are responsible to make sure the dosage is correct or reasonable before giving it, so say in pediatrics you have to figure in the dose per kilogram of weight.  Also, in giving injections you determine the correct amount of a liquid medication by using a ratio formate,  or a form of algebra.  Math is also necessary to determine a drip rate per minute for intravenous fluids when you are given the order to give the fluid at so many cubic centimeters per hour. Close to nursing, is dieticians who use math to determine amount of fluids and calories a person needs according to their body weight, BMI, etc.
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I would check with the college, and ask them they will have the statistics you want. \n\ngood luck it sounds like an incredible job.
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Descriptive statistics is a branch of statistics that denotes any of the many techniques used to summarize a set of data. In a sense, we are using the data on members of a set to describe the set. The techniques are commonly classified as:\n\n- Graphical description in which we use graphs to summarize data. \n- Tabular description in which we use tables to summarize data. \n- Summary statistics in which we calculate certain values to summarize data. \n\nIn general, statistical data can be described as a list of subjects or units and the data associated with each of them. Although most research uses many data types for each unit, we will limit ourselves to just one data item each for this simple introduction.\n\nWe have two objectives for our summary:\n\n- We want to choose a statistic that shows how different units seem similar. Statistical textbooks call the solution to this objective, a measure of central tendency. \n- We want to choose another statistic that shows how they differ. This kind of statistic is often called a measure of statistical variability. \n\nWhen we are summarizing a quantity like length or weight or age, it is common to answer the first question with the arithmetic mean, the median, or the mode. Sometimes, we choose specific values from the cumulative distribution function called quantiles.\n\nThe most common measures of variability for quantitative data are the variance; its square root, the standard deviation; the range; interquartile range; and the absolute deviation.\n\nSteps in descriptive statistics\n- Collect data \n- Classify data \n- Summarize data \n- Present data \n- Proceed to inferential statistics if there is enough data to draw a conclusion.
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b, of course.\n\nif one has some preconceived notions, statistics can be used as objective data to shed factual light on the subject.  doing so will either support your notions (choice a) or discredit them.  \n\nanybody, when faced with objective and factual information that discredits their ideas, should reconsider those ideas or incorporate the new facts into their philosophy.  this is the cornerstone of open and honest discussion.\n\nstatistics as "scientific data" are meaningless unless one adheres to the fundamental premise of science, which is that experiment is the sole judge of truth.\n\nit is reasonable to use statistical data to support your ideas in a debate, as long as you remain open to reconsidering your position in the light of new information!  \n\nanyone can (and many do) cherry-pick or manipulate statistics to support a particular idea, when there is plenty of other statistical data that they pretend doesn't exist or is irrelevant.  doing so is intellectually dishonest.
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Statistics can be realied upon to a certain degree, but it really depends on where the stats are coming from, are they coming from a realiable source, or from a friend of a friend of a friend?\nMost statistics are made up from a small survey of people, for example viewers who watched a particular show. The actual number of people that watched the show may be 20,000, but these are only the people who have the equiptment attached to their tv set to show what they watched and when so to get a realistic figure they may count each person as 1,000 to get a more realistic figure. In actual fact everyone else may have been watching something else.
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There are many applications of statistics to basic human needs.  One branch of statistics, sampling, can indicate the most cost effective way to check populations for disease or water supplies for safety.  Statistics are also used to detect differences between "control" and "treatment" groups in medical studies.  Statistics can also help evaluate economic aid programs, such as "micro-loans".
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Used to set insurance premiums, the probability of getting into accidents based on your car type/age\n\nFor evaluating worker performance, ie you're on time 95% of the time or only 80%\n\nHow can you actually tell when two sets of data are different? Need statistics.\n\n A lot of jobs in stats!!
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in order to do statistics you need data\n\nie.  we need number to do this
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This is not the best place to ask for help. Meet your faculty advisor, or best - meet your Stats professor. Personally I think the best approach is to just take a book, and solve the problems in it to ace Stats.
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Yes, there exist persons who are good at statistics.