Errors And Distrivution Curves

Question 1

What is a type 1 error

Answer 1

FALSE POSITIVE
-alternative hypothesis accepted
- null hypothesis rejected

This is a false positive as the null should have been accepted but it was rejected

Question 2

What is a type 2 error

Answer 2

FALSE NEGATIVE
- alternative hypothesis rejected
- null hypothesis accepted

This is where the research is falsely negative and said that there is no significant difference or effect when there is

Question 3

Which error type 1 or type 2 is most common is psychological research

Answer 3

A type 1 error is the most common error due to the fact that research is more likely to be published if it is stating that there is a significant effect

Question 4

What is normal distribution

Answer 4

• where all measures of central tendency (mean, median + mode) all happen at the highest point in the curve
• expected from a normal target population
• most scores are around the midpoint then fewer and fewer are seen the further from the midpoint that you go

Question 5

What is a positive skew distribution curve

Answer 5

• the population has more low scorers than high scorers
  MEAN > MODE
• curve moved to the left
• few people scored much higher than others

Question 6

What is a negative skew distribution curve

Answer 6

MEAN < MODE
- curve moved to the right
- fewer people at the lower end and more people at the higher end
- few people scored much lower than others

Question 7

What are the 3 factors needed to carry out a parametric inferential statistical tests

Answer 7

• normal distribution
• Interval level data
  -low variance