solved 1) Â SPSS is software that can conduct basic and

1)  SPSS is software that can conduct basic and complex statistical analyses. In this assignment you will use SPSS to explore the data and conduct descriptive statistics, create frequency charts, recode variables, and create new variables. 
For this assignment, utilize SPSS Statistics and the Topic 2 “Health Behavior Data Set.”
Refer to the topic resources for assistance with accessing and using SPSS.
Follow the steps below to complete the assignment.
Part a

Import the Excel file into SPSS.
Sort by age in SPSS to determine the age-range of participants in the data set.
Use the Descriptive Statistics Feature in SPSS to find the mean and standard deviation for the “Age” and “Annual Income.”
Use the “Frequencies” feature to create frequency tables for the employed, education level and sex variables.
Recode the sex variable where “Male”=1 and “Female”=2. Create a frequency table for the new variable.
Compute a new “BMI” variable based on “Weight” and “Height.” Use the Descriptive Statistics Feature in SPSS to find the mean and standard deviation for the new BMI variable.

Part b
In 200-250 words, compare Excel and SPSS. Discuss specific SPSS software features that make it preferable to Excel for data management. Provide examples illustrating when electing to use SPSS could be preferable to Excel in regard to analyzing survey data.
General Requirements
Submit the SPSS exported output and the written comparison to the dropbox.
APA style is not required, but solid academic writing is expected.
This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.    
2)  Difference Between Descriptive and Inferential Statistics
Surbhi, S. (2019). Difference Between Descriptive and Inferential Statistics. Retrieved from https://keydifferences.com/difference-between-descriptive-and-inferential-statistics.html – :~:text=As%20the%20name%20suggests,%20descriptive%20statistics%20is%20one,statistics,%20i.e.%20what%20you%20do%20with%20your%20data.

How can you use inferential statistics to learn more about depression and weight gain in a sample?
How can you use descriptive statistics to learn more about depression and weight gain in a sample?

3) Correlation is a common statistic to measure a generally linear relationship between two variables. Explain why correlation does not equal causation.
4)Explain the differences between parametric and nonparametric tests. How do you determine if a parametric or nonparametric test should be used when analyzing data?
5)  The chi-square test of independence is used to determine whether two or more samples of cases differ on a nominal level variable. A Pearson correlation is used to determine the relationship between two continuous variables. Both the chi-square test of independence and correlation are widely used in the analysis of public health data.
The purpose of this assignment is to practice calculating and interpreting the Pearson correlation coefficient and a chi-square test of independence. After analyzing the data, communicate the results in a PowerPoint presentation. Refer to the Using and Interpreting Statistics: A Practical Text for the Behavioral, Social, and Health Sciences textbook and instructional videos for assistance completing this assignment.
Part 1
Use SPSS and the Topic 2 “Health Behavior Data Set” and complete the following:

Conduct a Pearson correlation to determine the relationship between age and annual income.
Conduct a chi-square test to determine the relationship between sex and smoking status.
Export the SPSS output for the Pearson correlation and chi-square tests.

Part 2
Create an 8-10 slide PowerPoint to discuss the findings for either the chi-square or correlation findings. For the presentation of your PowerPoint, use Loom to create a voice-over or a video. Refer to the topic resources for additional guidance on recording your presentation with Loom. Include an additional slide for the Loom link at the beginning, and an additional slide for references at the end.
Include the following:

Explain why the statistical test is most appropriate for analyzing the data and whether the assumptions were met.
What are the null and alternative hypotheses?
What is the decision rule?
What is the test statistic and p-value?
How do you interpret the results? (What was done? What was found? What does it mean? What suggestions are there for the creation of a health promotion intervention?)