Week 1- Spine of statistics pt 1

Question 1

What’s the spine of statistics

Answer 1

• Standard error
• Parameters
• Interval estimates
• Null hypothesis significance testing (NHST)
• Estimation

Question 2

The General Linear Model

GLM

Answer 2

Outcome = (modeli) + errori
Outcome = b0 + b1 predictori + … + errori

Question 3

With no predictors how do you predict an outcome

Answer 3

From only the intercept b0

Question 4

What are confidence intervals

Answer 4

Intervals that contain the ‘true’ population value of the parameter in 95% of samples

Question 5

What are confidence intervals not

Answer 5

• They do not reflect confidence in the value of the population parameter
• There is not a 95% probability that a given interval contains the population value

Question 6

Parameters define the

Answer 6

Model and represent hypotheses of interest

Question 7

Parameters are estimated based on

Answer 7

Sample data

Question 8

All parameters have

Answer 8

Interval estimates

Question 9

Confidence intervals might tell us

Answer 9

About the true value of the parameter

Question 10

Standard error informs …

Answer 10

The variability in parameter estimates from sample to sample

Question 11

Significance tests and confidence intervals rely on

Answer 11

Standard error

Question 12

Each predictor has its own

Answer 12

Parameter

Question 13

If all the data is categorical which test should you use

Answer 13

Chi squared

Question 14

A spearman correlation is

Answer 14

A non-parametric test

Question 15

A Pearson correlation is

Answer 15

A parametric test

Question 16

A Pearson correlation uses which type of data

Answer 16

Continuous

Question 17

What does a t test do

Answer 17

Compare two means

Question 18

What does a one way anova test do

Answer 18

Compare 3 means

Question 19

Sum of squared error graphs look like

Answer 19

U shaped

Question 20

What is used as an estimate of a parameter

Answer 20

A sample value

Question 21

The estimate of a parameter will differ across

Answer 21

Samples

Question 22

Standard error can be used to

Answer 22

Get an idea of the extent to which estimates differ across samples

Question 23

What does 95% confidence interval mean

Answer 23

For 5% of the samples the confidence interval does not contain the mean in the population

Question 24

In Central Limit theorem, the average of the sample means and standard deviations will equal

Answer 24

The population mean and standard deviation

Question 25

In CLT, 95% of all values are within

Answer 25

+-1.96 SD from the central mean

Question 26

If predictors are standardised the intercept ends up being

Answer 26

0

Question 27

What do Greek b symbols mean

Answer 27

Predictors are standardised

Question 28

What does the broom::glance output include

Answer 28

• R squared

- Adjusted r squared

Question 29

We want the f ratio to be as

Answer 29

Large as possible