## I’ve been very lazy when it comes to school and it’s biting me in the ass.

Exactly what the title says. I’m pretty far behind in the math curriculum and my latest test went pretty bad. I want to get my grades up, any suggestions? I realize it’ll take hard work, but are there good ways to catch up quickly before exams?

submitted by Nevin Manimala /u/manholdingthepen

## Type 1 error rate two 1-way anovas

Hi there,

Very novice in SPSS and statistics and I have a question please help. I have run two one-way anovas. One is running Location (Melbourne, Queenstown and Mumbai)/Creativity and the other is running (Manager, Factory workers, and Customer Care)/Creativity.

both results come up with statistically significant results. The post hoc for the first one reveals Melbourne has the highest mean (with the other two grouped together). The post hoc for the second one reveals Managers have the highest mean (with factory workers and customer care grouped together). The sig for both tests are p>0.05.

Do i need to correct the sig level to reduce type one error (family wise error rate)? as in do something like add their p values together then divide by two (because there are two tests). I’m confused because their p-values are really low anyway. Or, do you only do that for a t-test?

Thanks from a lost statistic student

submitted by Nevin Manimala /u/hotelartwork

## Spatial Reasoning Help

I have a very hard time with the spatial reasoning aspect of physics and higher calculus. I’m fine with the math, but as soon as I have to draw graphs of 3d objects, deal with coordinate or bearing problems, or convert the data from word problems into a picture I just get lost. I make up for it by doing tons of extra problems, but I feel like this lack of skill is hurting my understanding of the material and honestly my enjoyment of the subjects.

I’ve heard that this skill can be learned, so I’m wondering if anyone has any tips, excercises or advice on how to improve this skill.

submitted by Nevin Manimala /u/JRiley4141

Hi,

I want to build a classifier for 2 classes, Normal (17 samples) vs. Disease (19 samples). And with this small dataset, I divided it to 30 samples for training, 6 samples for test, using createDataPartition() of Caret package in R. After training the model with 10-fold cv using Random Forest, I got a final accuracy value of 1 (classified 6 test samples correctly), but the confidence interval of the accuracy was broad (0.5407 – 1). Does this mean the size of test samples is too small?

Thanks

submitted by Nevin Manimala /u/whitetiger2