Statistic psychology paper

Introduction

What does touch means, why we care about it? Research shows. Example to catch people attention. Our hypothesis (male and female pairs touch each other more than other pairs) and the result that we are right from our Data. What our study has been done? Time changing will make different? If we observe people at night or afternoon? What is the rational.

Method

Observation ( in the bar and coffee shop)observe pairs(m and m)(m and f) ( fand f) romance and no romance touch such as shaking hands( please give examples and imagine to write details).

Result

Mean,stats,,Data

We limited some number of data of some purpose because outlier/ how many pairs

analyzing .

When we run one anova there is differ in the mean and significant differences.

F(2.186)=6.75, p=.001 which is p<.05

Number of touches

Touch and no touch

Touch per minute

Number of touches<10

Discussion 

Is the discussion connected back to the intro so the reader had a sense of closure?

Numbers of touching group by 41÷ 63

Chu square 

..1 x2(z1 n=189)=1630, p<.001

In last page:

2 tables and 1 figure

#table of number of touches

-gender pair(m,f)(f,f)(m,m)

-number of participant

-number of touches

- SD (stander Deviation)

-minimum number of touch 

-maximum number of touch 

# table of touch per minute 

Figure( par graph) for touch and no touch 

Data/type of gender pair

P>.05 is not significant

P<.05 significant 

ANOVA
number of touches
	Sum of Squares	df	Mean Square	F	Sig.
Between Groups	33.638	2	16.819	6.752	.001
Within Groups	463.325	186	2.491
Total	496.963	188

significant between the means

Multiple Comparisons
Dependent Variable: number of touches
Tukey HSD
(I) type of gender pair	(J) type of gender pair	Mean Difference (I-J)	Std. Error	Sig.	95% Confidence Interval
					Lower Bound	Upper Bound
mf	mm	.948*	.280	.002	.29	1.61
	ff	.828*	.282	.011	.16	1.50
mm	mf	-.948*	.280	.002	-1.61	-.29
	ff	-.120	.281	.905	-.78	.54
ff	mf	-.828*	.282	.011	-1.50	-.16
	mm	.120	.281	.905	-.54	.78
*. The mean difference is significant at the 0.05 level.

Result: F and f are significant different m and m m and f are significant different in the mean

touch no touch * type of gender pair Crosstabulation
Count
	type of gender pair	Total
	mf	mm	ff
touch no touch	no touch	22	42	41	105
	touch	41	22	21	84
Total	63	64	62	189

in descriptive: devide 41/63 to get the touching pairs= percentages

Chi-Square Tests
	Value	df	Asymptotic Significance (2-sided)
Pearson Chi-Square	16.300a	2	.000
Likelihood Ratio	16.407	2	.000
Linear-by-Linear Association	12.325	1	.000
N of Valid Cases	189
a. 0 cells (0.0%) have expected count less than 5. The minimum expected count is 27.56.

Significant .000 statement: ….,x2(z1 n=189)=1630, p<.001