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What else can I help you with?
What are the two types of data in scientific method?
Qualitative (things you can describe, like categories: gender or sport, variables like sm, m, and lg, or attitudes: agree/disagree, etc) and quantitative: things you can measure and report in numbers (like mass or volume)
Difference between classification and prediction?
The decision tree is a classification model, applied to existing data. If you apply it to new data, for which the class is unknown, you also get a prediction of the class. The assumption is that the new data comes from the similar distribution as the data you used to build your decision tree. In many cases this is a correct assumption and that is why you can use the decision tree for building a predictive model.
What is data and what are the different types of data available in the market?
Data is, basically, information. Armed with that knowledge, you can probably either answer your own second question or see how silly it is.
What is methord and action in form in HTML?
Method refers to the way that the data is transferred. It can either be GET or POST. Actions refers to the page in which the form data is sent.
What is data acquisition?
The word "acquisition" means to collect or to get. So "data acquisition" means collection of data. This can be done by either automated or manual means, however in the context of electronics its almost always automated.
How do you make numerical data?
You can code the data. For example, male = 1, female = 2. Or Strongly Agree = 5 Agree = 4 Neither agree nor disagree = 3 Disagree = 2 Strongly Disagree = 1
What is a prediction and how do we make prediction from data?
Dan Henderson vs. Rashad Evans Prediction
Which graph is best used to display data from a Leichardt scale?
I think you mean a Likert scale, i.e. a scale that gives ordered responses that have no real numerical value, for example "Strongly agree, agree, neutral, disagree, strongly disagree." This is ordinal level data and is probably best displayed in a bar graph, with one bar for each possible answer.
Would you use mode and median measure for the central location would be appropriate to use for the data generated by a questionnaire?
If the information collected is nominative - eg what is your favourite colour - you have no choice but to use mode. A median may be an appropriate choice is there are outliers or if the data are on an ordinal but not in interval scale - eg small/medium/large or strongly disagree/disagree/agree/strongly agree.
What are the three types of data in statistics?
They are nominal, ordinal and interval.Nominal data are categories with no natural ordering: eg colour of your car, or your favourite piece of music.Ordinal data, as the name suggests, can be ordered but the differences between the categories need not be the same. For example, strongly agree, agree, disagree, strongly disagree.Interval data are those where a numerical value can be assigned to the data.
Which measure of central tendency cannot be applied to ordinal data?
The mean cannot be used with ordinal data. The best measure of central tendency for ordinal data is usually the median. A common example of ordinal data is the scale you see in many surveys. 1=Strongly disagree; 2=Disagree; 3=Neutral; 4=Agree; 5=Strongly agree. The mean would have not meaning here ( no pun intended) The median is simple the middle value. The mode does have meaning.
What step follows making a prediction?
After making a prediction, the next step is to conduct an experiment or gather data to test the validity of the prediction. This allows you to evaluate whether your prediction was accurate and make any necessary adjustments.
In a scientific method what step follows making a prediction?
Conducting an experiment
What steps follows making prediction?
After making a prediction, gathering and analyzing the data is the next appropriate step.
What tools are used to measure qualitative data?
The answer depends on the type of qualitative data.You would use your taste buds as tools to distinguish between sweet, sour, salt and so on.You could use you sight to determine the colour of eyes, hair or cars.You would use your own judgement to choose between "strongly agree", "agree", "disagree" or "strongly disagree".
What is an ideal measure of central tendency?
It depends primarily on the nature of the data. If the data are qualitative data then the only option is the mode. Sometimes data can be ordered but the interval between adjacent categories is not always the same. An example of such data might be answers to a questionnaire where the answers are "strongly disagree", "disagree", "agree" and "strongly agree". The difference between strongly disagree and disagree may not be comparable to the difference between disagree and agree. In such cases, the median is readily available but the mean depends on arbitrarily assigned weights (for the categories). You can have interval data, in which the values of the variable are known and the differences between the values are also quantified. In such cases both the mean and median may be used. The median is generally preferred for skewed data since it is not greatly affected by outliers. For more symmetric data sets there is little to choose between the median and the mean since they will be close together. However, by the Central Limit Theorem, the mean result from repeated trials will tend towards the population mean. The sample mean is a maximum likelihood unbiased estimate of the population mean. Also, the means are often one of the parameters of parametric statistical distributions. The distribution of the mean of repeated trials has been extensively studied and there are many efficient tests for testing hypotheses concerning the mean.
What does it mean when the data supports the hypothesis?
It means that your prediction was accurate.
