# data[].attributes.headline
variables like extraneous and confounding (the difference) and demand characteristics

# data[].attributes.subject
variables like extraneous and confounding (the difference) and demand characteristics

# data[].attributes.headline
critical value = 1, findings not significant as the observed value is higher

# data[].attributes.subject
critical value = 1, findings not significant as the observed value is higher

# data[].attributes.body
Not significant

# data[].attributes.headline
the findings are not significant as the s value is higher than the critical value

# data[].attributes.subject
the findings are not significant as the s value is higher than the critical value

# data[].attributes.body
n=10

# data[].attributes.headline
from a table and use no of participants and one/two tailed hypothesis 

# data[].attributes.subject
from a table and use no of participants and one/two tailed hypothesis 

# data[].attributes.body
need to be same as or greater than s value for result to be significant