Research Methods Info 2: Data analysis and statistics

Question 1

what is data Distribution ?

Answer 1

the data tends to be around a central value with no bias left or right and it get’s close to normal distribution.

Question 2

what is bell curve?

Answer 2

the bell curve is normal or gaussian distribution.

Question 3

what is standard deviation?

Answer 3

to represent data by providing the mean
(average) value for the group of data. the standard deviation (SD) quantifies the variability of scatter of your data set around this means.

Question 4

what is standard error?

Answer 4

the standard error allows you to quantify how far your sample mean is likely to be the true population mean.

Question 5

P values

Answer 5

p value is to indicate the strength of the data and determine the significance of your result. it is used to test the validity of the null hypothesis, which states that there is no difference between two groups.

Question 6

Null hypothesis

Answer 6

there will be no difference in reaction time before and after training.

Question 7

alternate hypothesis

Answer 7

there will be a difference in reacting time following training.

Question 8

Data analysis

Answer 8

statistical data analysis is then performed to determined whether the null hypothesis can be accepted or rejected.

Question 9

interpretation of p value.

Answer 9

small P value- indicates that there is statically significant differences between groups.
a large p value- indicates you cannot reject the null hypothesis, so there is no significant difference between groups.

Question 10

two-way ANOVA

Answer 10

the two-way analysis of variance is an extension of the one-way ANOVA that examines the influence of two different categorical independent variables on one continuous dependent variable.

Question 11

one way ANOVA

Answer 11

is an analysis of variance comparing the means of two or more independent groups in order to determine whether there is statistical evidence that the associated population means are significantly different.

Question 12

what is T-test

Answer 12

the independent (or unpaired) T-test compared the means of two separate groups.
for example difference in HR between health subjects and diabetic patients.

Question 13

paired t-test

Answer 13

A paired t-test compares the means to two matched groups

for example: differences in HR in subjects before and after training,

Question 14

what is performing a correlation

Answer 14

correlation is a method used to assess how two variables very together.
the correlation coefficient is a number ranging form -1 to 1 , which quantifies the magnitude and direction of the correlation.

Question 15

correlation coefficient (r)

Answer 15

expressed as r , this values ranges from -1 to +1 . form this value we can judge both the strength and the direction of any relationship.

Question 16

R squared

Answer 16

R squared sometimes refers to as shared variables , given us some useful information regarding to the correlation between two variables.

Question 17

linear regression

Answer 17

a liner regression is linear approach to modelling the relationship between a scaler response (or dependent variables) and one or more explanatory variables (or independent variables)