Statistics Project Part3: Comparing Means

**PLEASE USE ATTACHMENTS**

As you get closer to the final project in Week 6, you should have a better idea of the role of statistics in research. This week, you calculate your first inferential stats on your data set. You may calculate an independent t-test or a one-way ANOVA for the independent groups. Reading and interpreting the output correctly is highly important. Most people never see the actual output or data; they read the results statements by the researcher, so your summary must be accurate.

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Calculate the independent groups’ t-test or a one-way ANOVA.

Summarize the results of the calculation in 45 to 90 words.

PSYCH625WK2StatisticsProjectPart1ImportingDataintoIBMSPSSSoftware.doc

Statistics Project, Part 1: Importing Data into IBM SPSS Software 1

Frequencies Table

	College
	no college	some college
	Caffeine	Caffeine
	yes	no	yes	no
	Count	Count	Count	Count
Gender	Male	Test Prep	no preparation	3	0	3	0
			moderate preparation	2	0	1	1
			high preparation	0	0	0	1
	Female	Test Prep	no preparation	3	1	1	1
			moderate preparation	1	0	4	1
			high preparation	0	0	1	0

	College
	associate’s degree	bachelor’s degree
	Caffeine	Caffeine
	yes	no	yes	no
	Count	Count	Count	Count
Gender	Male	Test Prep	no preparation	0	0	0	0
			moderate preparation	5	1	2	1
			high preparation	1	2	1	0
	Female	Test Prep	no preparation	1	0	1	0
			moderate preparation	6	0	2	0
			high preparation	1	0	2	0

The number of males that had no preparation in the test took caffeine. Those who had moderate preparation only three did not take caffeine, which were one from some college, one from associate’s degree and one from bachelor’s degree. Majority of males had moderate preparation were under associates degree and bachelor’s degree and most took caffeine. There is a low number of males who had high preparations and majority of them took caffeine. Majority of females took caffeine and were highly prepared. Statistics Project Part3: Comparing Means

PSYCH625WK3StatisticsProjectPart2DescriptiveStatisticsandHypothesis.doc

Statistics Project, Part 2: Descriptive Statistics and Hypothesis 2

Statistics Project, Part 2: Descriptive Statistics and Hypothesis

Marcela Montoya

PSYCH 625

Dr. Washington

November 16, 2017

Statistics
	Age	Math Score	Reading Score	Total Score
N	Valid	50	50	50	50
	Missing	0	0	0	0
Mean	32.02	75.00	75.78	150.78
Std. Error of Mean	.614	1.793	1.633	3.044
Std. Deviation	4.340	12.675	11.550	21.522
Variance	18.836	160.653	133.400	463.196
Skewness	.189	-.699	-.793	-.803
Std. Error of Skewness	.337	.337	.337	.337

Histogram

H0: The Total score is proportional to the math score

H1: Anything else.

We reject the null hypothesis since the math test scores do not seem to have an effect on the total scores. The normal curves of both the math scores and total score are different. The skewness of the math score is also less than the skewness of the total score -.699<-.803.

PSYCH625WK2Dataset_Option_1.xls

Data

Gender	Age	College	Caffeine	Test Prep	Math Score	Reading Score	Total Score
1	29	1	1	2	75	78	153
2	32	4	1	3	90	96	186
1	39	1	1	1	45	50	95
1	25	2	1	2	50	79	129
1	27	1	1	1	55	45	100
2	33	3	1	2	67	80	147
2	36	3	1	2	78	70	148
1	28	3	1	3	92	75	167
1	34	3	2	3	84	82	166
2	32	2	1	2	56	79	135
2	31	1	1	1	67	53	120
2	38	1	1	1	60	80	140
2	27	3	1	2	72	88	160
2	29	4	1	2	83	92	175
1	26	4	1	2	81	75	156
1	39	4	1	3	90	82	172
1	40	1	1	1	64	78	142
2	37	2	1	1	69	95	164
2	37	3	1	1	88	69	157
1	29	3	2	2	74	80	154
1	29	3	1	2	86	70	156
1	30	2	1	1	57	67	124
2	36	3	1	3	90	85	175
1	30	3	1	2	66	70	136
2	30	2	1	2	79	72	151
2	35	4	1	2	83	80	163
1	27	3	2	3	87	85	172
2	31	2	1	3	84	80	164
2	38	1	1	2	65	75	140
2	38	3	1	2	79	75	154
1	34	2	1	1	52	60	112
2	28	3	1	2	91	85	176
1	29	2	2	2	74	77	151
1	32	4	2	2	82	80	162
1	35	2	2	3	86	85	171
1	35	3	1	2	72	67	139
2	37	2	1	2	81	85	166
2	29	3	1	2	84	81	165
1	40	4	1	2	87	83	170
2	27	4	1	1	79	74	153
1	27	2	1	1	82	60	142
1	34	1	1	2	78	75	153
2	34	1	2	1	67	50	117
2	25	2	2	2	86	80	166
2	25	1	1	1	49	58	107
2	29	2	1	2	76	82	158
1	30	3	1	2	87	90	177
1	30	3	1	2	72	75	147
2	35	2	2	1	59	64	123
2	34	4	1	3	90	93	183

Information

Variable	Description of Values
Gender	Sex (1= Male, 2=Female)
Age	Chronological Age (in years)
College	College Experience (1=no college, 2=some college, 3=associate’s degree, 4=bachelor’s degree
Caffeine	Regular Caffeine Use (1=yes, 2=no)
Test Preparation	Level of Preparation (1=no preparation, 2=moderate preparation, 3=high preparation)
Math Score	Scale= 0-100
Reading Score	Scale= 0-100
Total Score	Scale= 0-200