We've got a workbook to do with SPSS and I understand how to do the tests in SPSS, but I don't know what to do with this data set in order to know what test to do. To me, this has 2 different IV's - the zoo it is in, and whether it had high or low visitor density. One of which is independent, one is paired samples. We have to calculate the descriptive statistics - which ones? We tried the mean, but do we find the mean for the set as a whole, or for each zoo/density. We haven't been taught properly and I have a decent understanding but this is going above me. I will try and attach the actual question and data set.
Scenario 1 –
To investigate if resting behaviour of Lowland gorillas (Gorilla gorilla) was affected by crowd density, researchers observed gorillas in 5 zoological institutions across Europe. For each enclosure, resting behaviour was recorded in randomised 30-minutes sessions under two conditions: high number of visitors and low number of visitors. For each condition, the observations were repeated 3 times. The data collected in these sessions is summarised below:
Table 1. Time (minutes) spent resting in relation to visitor numbers in 5 zoological institutions.
Transfer the above data into excel and perform the following:
a. Import the data into SPSS
b. Determine the independent and dependent variable in the above scenario. You may also be quizzed on what type of data these variables are, and whether the samples are independent.
c. Calculate descriptive statistics . You may be asked to provide one or more descriptive values in the quiz.
d. Determine whether the data is normally distributed or not. You may have to provide p-values, degrees of freedom or test statistics and be asked to interpret the outcome of this test in relation to the null- and alternative hypotheses.
e. According to your interpretation of the normality test you performed, determine which statistical test would be appropriate to run on the visitor density data set.
f. Run the test you have chosen and save the output. You may have to provide p-values or test statistics and be asked to interpret the outcome of this test in relation to the null- and alternative hypotheses.
g. Create a graph that is appropriate for the test you have chosen and save the graph in your output.
h. Consider how you would interpret these results and their wider implications.