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This assignment allows you to become familiar with importing Microsoft ® Excel ®

ID: 3050120 • Letter: T

Question

This assignment allows you to become familiar with importing Microsoft® Excel® (or some other type of data) into SPSS and using the Analysis tab (for frequencies). In actual research, the individual data points are entered into SPSS, but for the purpose of this course, you import data for your final project due in Week 6. You run frequency tables, not descriptive statistics, on all appropriate variables as designated in your data set.

Note: Frequency tables are best used for nominal and ordinal variables.

Select one of the provided data sets, or select your own.

Import your data into IBM SPSS software, and run frequencies (frequency tables, not descriptive statistics) on all appropriate variables as designated in your documentation. Frequency tables are best used for nominal and ordinal variables.

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

Submit the IBM SPSS output and your summary to your instructor.

Click the Assignment Files tab to submit your assignment.

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.

Scale= 0-200

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

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

Explanation / Answer

Solution:

Here, we have to make frequency distributions for the given variables in the data set. We have to make these frequency distributions by using SPSS. Required frequency tables by using SPSS are summarised as below:

Frequencies

Statistics

Gender

College

Caffeine

Test Prep

N

Valid

50

50

50

50

Missing

0

0

0

0

Gender

Frequency

Percent

Valid Percent

Cumulative Percent

Valid

Male

24

48.0

48.0

48.0

Female

26

52.0

52.0

100.0

Total

50

100.0

100.0

The proportion of the male and female is approximately same or very close. There is no significant difference in the proportion of male and female in the given data.

College

Frequency

Percent

Valid Percent

Cumulative Percent

Valid

No College

10

20.0

20.0

20.0

Some College

14

28.0

28.0

48.0

Associate's Degree

17

34.0

34.0

82.0

Bachelor's Degree

9

18.0

18.0

100.0

Total

50

100.0

100.0

From above table, it is observed that frequency of the persons with Associate’s Degree is more than person with any other degrees.

Caffeine

Frequency

Percent

Valid Percent

Cumulative Percent

Valid

Yes

41

82.0

82.0

82.0

No

9

18.0

18.0

100.0

Total

50

100.0

100.0

From above table, it is observed that most of persons (about 41 out of 50) included in the data set consume caffeine.

Test Prep

Frequency

Percent

Valid Percent

Cumulative Percent

Valid

No preparation

14

28.0

28.0

28.0

Moderate Preparation

27

54.0

54.0

82.0

High Preparation

9

18.0

18.0

100.0

Total

50

100.0

100.0

Frequency of the persons with moderate preparation is more than the person with no preparation or high preparation.

Statistics

Gender

College

Caffeine

Test Prep

N

Valid

50

50

50

50

Missing

0

0

0

0

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