#Spss code for 95 confidence interval how to

In practice, checking for these four assumptions just adds a little bit more time to your analysis, requiring you to click a few more buttons in SPSS Statistics when performing your analysis, as well as think a little bit more about your data, but it is not a difficult task.Д«efore we introduce you to these four assumptions, do not be surprised if, when analysing your own data using SPSS Statistics, one or more of these assumptions is violated (i.e., is not met). You need to do this because it is only appropriate to use a one-sample t-test if your data 'passes' four assumptions that are required for a one-sample t-test to give you a valid result. When you choose to analyse your data using a one-sample t-test, part of the process involves checking to make sure that the data you want to analyse can actually be analysed using a one-sample t-test. However, before we introduce you to this procedure, you need to understand the different assumptions that your data must meet in order for a one-sample t-test to give you a valid result.

#Spss code for 95 confidence interval how to

This 'quick start' guide shows you how to carry out a one-sample t-test using SPSS Statistics, as well as interpret and report the results from this test. You sample 1000 doctors in A & E departments and see if their hours differ from 100 hours. Alternately, you believe that doctors that work in Accident and Emergency (A & E) departments work 100 hour per week despite the dangers (e.g., tiredness) of working such long hours. Your sample would be pupils who received the new teaching method and your population mean would be the national average score. For example, you want to show that a new teaching method for pupils struggling to learn English grammar can improve their grammar skills to the national average. This population mean is not always known, but is sometimes hypothesized. The one-sample t-test is used to determine whether a sample comes from a population with a specific mean. One-Sample T-Test using SPSS Statistics Introduction