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Look at both numerical and categorical data using descriptive measures and graphical techniques. Open the mammals.csv dataset, a dataset of species of mammals, and various
Look at both numerical and categorical data using descriptive measures and graphical techniques. Open the mammals.csvdataset, a dataset of species of mammals, and various statistics. You may download the dataset and read its description at the following link, then answer the questions:
https://www.openintro.org/data/index.php?data=mammals
- we need a new variable called brain_type. This variable can only have three values: small, medium, and large. The values are defined as follows:
- small: if brain_wt < 10
- medium: if brain_wt >= 10 and < 100
- large: if brain_wt> 100. Perform a One Factor Analysis of Variance (ANOVA) using SPSS comparing the mean gestation values for the three brain_type groups at an alpha of 0.05.
- What is the null hypothesis for this ANOVA:
- Calculate the mean of each of the 3 groups:
- Mean of small group ______________
- Mean of medium group ______________
- Mean of large group _______________
- alpha: ________________
- F test statistic: ________________
- p-value: ________________
- Paste a screenshot of your ANOVA result from your software below
2. Based on the results:
- Would you reject or fail to reject the null hypothesis?
- Provide your interpretation of the results of the ANOVA.
this is the link to the original dataset from where you get the brain_wt to get the brain_type column
https://www.openintro.org/data/index.php?data=mammals
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