Why do descriptive statistics differ for variables with different levels of measurement?
For different level of measurements of the variables (nominal,
ordinal, interval, ratio), there is a different level of detail
provided by each of them. Nominal level provides the least amount
of detail, ordinal level provides more detail than nominal and
interval & ratio scale provides the most.
In the nominal level of measurement, variables are categorical and
have no order. Therefore, the descriptive statistics used are
frequencies & percentages.
In the ordinal scale, variables are categorical but they have a
meaningful order. These are also described using frequencies and
%ages.
In the interval/ratio scale, it is a continuous level of
measurement. The descriptive statistics used are the mean, median,
mode, standard deviation etc.
Why do descriptive statistics differ for variables with different levels of measurement?
List three types of descriptive -statistics- commonly used in research. Why do we use descriptive statistics in both descriptive methods research and experimental methods research?
Describe the difference between descriptive and inferential statistics Identify the level of measurement of a variety of variables Describe the difference between measures of central tendency and variability Explain the difference between correlation and causation Describe measurement validity and reliability and name the statistics used to test them Explain the difference between a population and a sample Describe what correlations are and how they are used only answer if you know these. Thanks.
Teaching descriptive statistics. A study compared five different methods for teaching descriptive statistics. The five methods were traditional lecture and discussion, programmed textbook instruction, programmed text with lectures, computer instruction, and computer instruction with lectures. 45 students were randomly assigned, 9 to each method. After completing the course, students took a 1-hour exam. (a) What are the hypotheses for evaluating if the average test scores are different for the different teaching methods? (b) What are the degrees of freedom associated...
1. What is evidence-based medicine? 2. What are levels of measurement? 3. What is the difference between descriptive and inferential epidemiology? 4. Distinguish between descriptive and inferential statistics? 5. What are confidence intervals? How are they used in epidemiology? 6. What is a two-sample t-test? How is this test used in statistics and epidemiology?
Summary of Descriptive Statistics Excel will tabulate a summary of the descriptive statistics for central tendency and using the Data Analysis Pack. Click Data Click Data Analysis .In the pop-up list click on Descriptive Statistics and hit OK . In the pop-up box in the input range type A2:A75 or highlight this region . Click the box next to summary statistics Click OK A box of summary statistics will appear like the one below Mean Standard Error Median Mode Standard...
First, provide a definition of descriptive statistics and a definition of inferential statistics. Second, compare and contrast descriptive and inferential statistics (ie., how are these two types of statistics similar, how are they different).
Descriptive and Predictive. Describe each one. How are they different? How do they work together? Why are they both necessary? What is the biggest difference between the two?
Based on basic statistics, discuss at least two of the following concepts from the perspective of psychology study: Descriptive versus inferential uses of statistics. Parametric versus nonparametric statistics. Normal distribution. Levels of measurement . Types of variables. Mean, standard deviation, variance, degrees of freedom, frequency, and sampling error. Data collection, transformation, screening, and reporting. Bivariate analysis.
Journal Question Why do the accounting systems of different countries differ. Why do these differences matter? Note displays a thorough understanding of the underlying concepts with references to required readings. Journal entry integrates any relevant outside resource, or research, to support important points. Correct citations are included.
Analyze the descriptive statistics and graphs for men and women. Do you see any difference in the amount of time that men and women spend on email? Gender Variables Mean St.Dev. Max Min Male (1) EMAILHR 6.33 9.506 50 0 Female (2) EMAILHR 5.93 8.884 50 0 Gender Variables Median First quartile Third quartile Male (1) EMAILHR 2.00 1.00 8.00 Female (2) EMAILHR 2.00 1.00 7.00