M3 - Confidence tests - Hypothesis testing

Question 1

Confidence in data

Answer 1

the level of certainty or belief in the accuracy, reliability, and usefulness of data for decision-making

Question 2

Hypothesis testing

Answer 2

Hypothesis testing is a systematic procedure for deciding whether the results of a research study support a particular theory which applies to a population.

Figure out your null hypothesis,
State your null hypothesis
Choose what kind of test you need to perform,
Either support or reject the null hypothesis

Question 3

significance level (α)

Answer 3

a threshold used to determine whether a result is statistically significant

Question 4

probability value (p)

Answer 4

used to assess the significance of the statistical test. The p value is compared to the significance level (α) to determine if the data is significant or not. If p< (α) then the null hypothesis is rejected. The alternative hypothesis is true. Thus, the result is significant.

Question 5

f-test

Answer 5

compares: two variances

type of data: numerical

of groups/variables: 2 groups

example: variance in test scores between 2 classes

Question 6

t-test

Answer 6

compares: two means

type of data: numerical

of groups/variables: 2 groups

example: avg weight loss: diet a vs diet b

Question 7

ANOVA

Answer 7

compares: three or more means

type of data: numerical

of groups/variables: 3+ groups

example: avg scores across 3 teaching styles

Question 8

chi squared

Answer 8

compares: relationships between categories

type of data: categorical

of groups/variables: 2+ categories

example: is gender linked to favourite colour?