Create a hypothesis for the data

Question

Discuss the below:

Now that you have imported your data and run frequency tables, take the next step and run descriptive statistics. Remember to calculate the descriptive statistics for the appropriate variables in your data set. Descriptive statistics are most appropriate for interval and ratio data. Create a hypothesis for the data; it can be anything, based on the variables you have in your data. Creating these hypotheses affords you the opportunity to think like a researcher to better understand and critique research articles you read.

Use IBM SPSS software to calculate the appropriate descriptive statistics for the variables designated in your documentation. Descriptive statistics are most appropriate for interval and ratio data.

Create a hypothesis for the data; it can be anything, based on the variables you have in your data.

For example: Teaching Method X provides higher test scores than Teaching Method Y.
Create a null hypothesis, such as the following: Teaching Method X scores are equal to Teaching Method Y scores.

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

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

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

Attachment:- Frequencies Table.rar