SPSS (| PASW) 18 Study Notes (1): Getting Started example-kayama case

I recently read some statistical applications. I learned about mathematics. I just need to take some time to understand it. Maybe it will be useful in the decision-making system in the future.

Note: The customer is invited to use Version 18. After being acquired by IBM, it is now officially named PASW18. However, according to inertia, it is easier to use SPSS 18.

Today, we understand the basic interfaces and data processing methods. Let's look at an example: (Note: this is an example from Professor Zhang Wentong)

Example 1.1
The Blood Phosphorus (mmol/L) of 11 patients and 13 healthy people were measured in a certain area,
Q: Are the Blood Phosphorus values of Patients with Acute Mountain disease in the region different from those of healthy people?

Patient: 0.84 1.05 1.20 1.20 1.39 1.53 1.67 1.80 1.87 2.07 2.11

Healthy Persons: 0.54 0.64 0.64 0.75 0.76 0.81 1.16 1.20 1.34 1.35 1.48 1.56 1.87

 

The following steps are required:

1. input the data into SPSS and save the data on the disk.
2. Perform necessary pre-analysis (distribution chart, description of mean standard deviation, etc.) to determine the testing method to be used.
3. Perform statistical analysis as required by the question.
Iv. Save and export analysis results.

The procedure is as follows:

1. input data.

Open the main interface of the interface:

It is important to save data.

Input data is saved again.

Ii. Data Pre-Analysis

1. Brief description of data:

On the main interface of SPSS, choose "analysis"> "Description Statistics"> "Description" to perform the following operations:

Add the X variable and click OK.

The following result is displayed:

This is the simplest result, but what is the purpose of setting the Group? Haha, go down, "data"-"split Files"

Select "output by group"

At this time. The output result remains unchanged.

However, please describe it again and you will see the following results:

2. Draw a histogram:

The statistical index is not intuitive, so let's use a histogram, "Graph" -- "Old dialog box" -- "histogram"

Add variable X,

Output result:

Note: After the preceding steps, we need to cancel the variable segmentation so that it will not affect future statistical analysis. Set "data"-"split file:

3. Perform statistical analysis as required

Next we will perform a t-test for the independent sample. The steps are as follows: "analysis" -- "comparison mean" -- "independent sample T-test"

Set:

Output result:

Result Analysis:

1. Because the variance test P = 0.860> 0.05, the acceptance variance is consistent. Therefore, the first line of data is accepted.

2. Check that the value of P on both sides is 0.019 <0.05. Reject H0, that is, reject (no significant difference) and accept H1 (with a significant difference ).

Pressα= 0.05 level, rejectedH0It is considered that the blood phosphorus value of the patient is different from that of the healthy person. According to the average number of samples, the blood phosphorus value of the patient is high.

Iv. Save output results

In the output window, you can save it as a spv file.

You can also export the result as a doc file.

So far, a simple example is completed. We have a rough idea of how to get started with SPSS. We will continue to learn more about SPSS later.