Reference no: EM132914774
There are several statistical methods that can be used in analyzing data from an ITS design. The decision on what method to use is often based on several factors including type of outcome (eg, continuous, binary or count), distribution (eg, Gaussian, Skewed),21 assumptions such as autocorrelation or seasonality,22,23 the number of groups/sites included in the ITS design (single site vs multi-site analysis),24 or the inclusion of a control group.25 Despite the availability of various statistical methods for ITS analysis, limitations exist in practical applications, where researchers frequently ignore checking the assumptions and the various factors influencing the optimality of the different methods.26 As such, some ITS data are currently being analyzed using inadequate methods, and hence leading to inaccurate results, erroneous or misleading conclusions, and potentially affecting patient care.
1. Elaborate on the discussions supporting the t-distribution (student's t distribution) tests of hypothesis (test for small samples n < 30) to help the executives of the HRM department to make conclusions
2. In the statistical view of the human resource categorization, analyze the Test of hypothesis about the difference between two mean
3. Enumerate all the possible HRM dynamics that can be tested using the Chi square hypothesis tests (Non-parametric test)(X2)
4. Examine the applications and the relevance of the Test for goodness of fit in human resource management
5. Disclose the test of attributes that can initiate actions for the human resource managers in adoption of new ideas
6. Contest and subject to justification the role and the objective of the Test of homogeneity in HRM
7. Bring out the idea of time series forecasting for the future events in human resource management
8. Interconnect the ideas of business unpredictably and care for the historical pattern of the human resource departments
9. Analyze the Simple linear Regression Model and its setting to influen3e the human resource management using an example
10. Suppose you are a team member of the human resource management team, describe how to initiate the Setting up of a simple linear regression model to encourage modern staff administration