mocks- perception+RM Flashcards
how do you calculate the median
middle number of the data set- must be in order
how do you calculate the range
biggest value-smallest value
how do you calculate the mode
most common number
how do you calculate the mean
add up all the numbers/how many numbers
what does normal distributions show
- contionous data
- never touches the x axis
- mean is in the middle
what is the difference between a bar chart and histogram
- both have same width bars
- histograms bars are touching
how do you find the a) mode
b) median
c) mean
d) range
from a frequency table
a) highest freq
b) middle number
c) scorexfreq+ scorexFreq…/people
d) highest score-lowest score(not frequency)
(6-2=4)
what is a strength and weakness of the mean
+ includes all scores in the final calculation, represnts whole of data
- can easily be distorted by an anomaily , one score can have a strong affect on the mean and makes it less represntative
what is a strength and weakness of the mode
+ very easy to calculate
- can be unrepresntative of the set overall
what is a strength and weakness of the median
+ not affected by extreme scores as they would be at the end or beginning
- not all scores are included in calculation, a few low values would affect mean, but not median- but should if it truly average
what is a strength and weakness of the range
+ straightforward to calculate
- range can be ditorted by extreme scores, so does not give a clear picture of the overall spread. most pp probably didnt score very badly
what is a null hypothesis
predicts there will be no pattern or trend in results, no relationship between variables
what is an alternative hypothesis
states a relationship between variables
- called alternative as in alternative to the null hypotheiss
why should we use a null hypothesis
its easier to disprove a negative statement, than prove a positive one
what is a non directional hypothesis
- this type does not predict the direction only that one factor affects another
what is a directional hypothesis
predicts the direction in which the results are expected to go
what is a structured interview
- predetermined questions and they remain the same for all pp
what are closed questions
a predtermined set of responses eg, yes or no
what is an unstructured interview
- do not have predetermined questions and the pp are able to give detailed answers
- interviewer will expand questions based on what has been said
what is a semi structured interview
- combine aspects from unstrucrured and structured
what are open questions
can give detailed answers
how is data in interviews recorded
can be recorded or written down but it must be fully transcribed which can be time consuming
what happens at the start of the interview
interviewer will use standarised instructions so the pp is aware of ethical issues such as confidentiality and right to withdraw.
what is a strength of an interview
+ unstreuctured interviews are useful for obtaining qualitive data- as pp is able to use their own words. qualititive data offered can give more detail and depth
what are the weaknesses of interviews
- data is difficult to interpret-possible researcher may misinterpret pp answers based on their own expectations and biases so might be subjectivity
- very time consuming to analyse large amounts of qualitative data
what is stratified sampling
target population is broken down into subcategories that represent the target population, then pp are selected in the proportion they occur in target population
eg, if TP is 75% female and 25% male- a sample of 20 should include 15 female, 5 male
what is a strength and weakness of stratified sampling
+ this is representative sampling method as everyone in the target population would be represnted in the pp being sampled
- can be time consuming because the subcategories have to be indentified and their proportions calculated
what is oppurtunity sampling
- involves selecting pp that are around and available at the time of the study
eg first 20 students at school
what is the strength and weakness of opportunity sampling
+quick, convenient and often the most economical method- therefore quite common
- likely to find an unrepresntative sample if onyl sampling at a particular time or place
eg first 20 students not likely to represent students who live far away
what is systematic sampling
when a consitnet system is in place for who is selected eg every 4th person
- does not give an equal chance of selection