data analysis and experimental design

What could be used as meta data for biological data?

The line of best fit shoualways be shown on a scatter plot.

What should always be shown on a scatter plot?

Under which circumstances does the mean = median = mode of a sample?

standard error of the mean measures the variability of the raw data

The SE of the mean measures the uncertainty of the estimate of the population mean

SE of the mean measures the uncertainty of the estimate of the sample mean

The SE of the mean depends on the sample size

The SE of the mean can be estimated from several samples of the same population

Can Normal distributions be skewed?

Which distributions can be skewed?

Would you take a log of data because the data are skewed, with a few small values and more larger ones

What is the population?

What is the sample?

What is nominal data?

what is ordinal data?

What is ratio/scale data?

What is parametric data?

What is non-parametric data?

What is metadata?

What is a measure of location?

what is the standard deviation?

What is the range and what is it's limitation?

What are the benefits of the interquartile range.

what is skewness?

What is kurtosis?

What is the standard error of the mean?

What data does the normal distribution apply to?

how to look for a normal distribution?

What are the challenges of data acquisition?

What should you use for data entry?

How to imput into spss

What file type should you store data as?

Why is meta data important?

Why is exploratory data analysis important?

Describe a box and whisker plot

Why is the scatter plot useful?

What is signal and noise?

How is the noise useful?

What does a strong experimental design do in regards to signal and noise?

How do you increase the signal to noise ratio?

What are the limitations of using the mean as a measure of location?

Are median an mode affected by extreme values?

How do you calculate the variability among the cases in a population?

How do you calculate the variability among cases in a sample?

What helps ensure a good estimate of the population mean?

why do many statistical tests assume that data are normally distributed?

does scientific testing only work with falsifiable hypothesis?

How do you desing a fair experiment?

what kind of error is accepting the null hypothesis when it false?

what kind of error is rejecting the null hypothesis when it is true?

what is the test for variance between the normally distributed samples of more than 2 treatments?

Test for differences between two abnormally distributed samples?

Test for differences between means of more that two abnormally distributes data.

How to undertake a hypothesis test

How do you conduct analysis of categorical data?

What is the null hypothesis of the chi square test?

How do we run a chi square if we are testing independent categorical factors?

what does the F value mean in ANOVA output?

Possible issues with graphs looking at continuous numeric data

What correlation is correct to use for normal numeric data?

What does one tail correlation look for?

What does two tail correlation look for?

What is R?

What does the value of R mean?

What does linear correlation struggles with?

When transforming data for correlation do you need to transform both sets of data?

Does correlation imply causality?

What is Principle component analysis?

What strategies may you use in multivariate analysis looking for relationships among many variables.

Multivariate analysis when classifying the cases into groups.

What is the use of regression?

Which values are known in regression?

Which values are estimated?

What does regression assume?

How is the line of best fit calculated in regression?

What assumptions are present in regression?

What is the adjusted R^2 value?

What is interpolation?

What is extrapolation?

What do you do if the relationship is not linear?

How do you conduct regression if there are more than two variables?

How do you select the best model?

What is the null hypothesis for a one way anova?