Applying hypothesis test data collected (Statistics)

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SUMMARY

The discussion focuses on applying a hypothesis test to analyze the correlation between the number of years spent at college and the number of services used by students. The sample consists of 50 students, with a mean of 1.510638 services used. The null hypothesis states that the number of years at college has no effect on service usage, while the alternative hypothesis suggests a correlation exists. The standard deviation for the sample is calculated as 0.7481, and for the averages of each year, it is 0.1904. The analysis is recommended to be approached using ANOVA techniques.

PREREQUISITES
  • Understanding of hypothesis testing
  • Familiarity with standard deviation and mean calculations
  • Knowledge of ANOVA (Analysis of Variance)
  • Ability to interpret survey data
NEXT STEPS
  • Learn how to conduct ANOVA tests for comparing means across multiple groups
  • Study the application of the z-test in hypothesis testing
  • Explore statistical software tools like R or Python for data analysis
  • Review survey design and data collection methods for statistical validity
USEFUL FOR

This discussion is beneficial for statistics students, researchers conducting hypothesis testing, and anyone interested in analyzing survey data for correlations.

Dusty912
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Homework Statement


So I am doing a project for statistics and wanted to apply a hypothesis test to see if there is a correlation between the number of years spent at my college and the number of services used. The services include library, recreational services, clubs, etc.. i sent out a survey to get data from students and obtained a sample of 50 students with a mean of 1.510638 services used for the whole sample size. The average for first year students is 1.4. The average for second year students is 1.25, the average for 3rd year students is 1.6, the average for 4th year students is 1.75 and the average for 5th year students is 1.5.

SO my null hypothesis would be : number of years spent at my college would have no effect on number of services used

AND my alternative hypothesis would be that number of years spent at my school has an effect on number of services used.

I think that there will be no correlation. Just wondering how to set this up and execute it so I can prove statistically what is going on here. Any help would be appreciated!

Homework Equations


standard deviation (σ)
mean
z=(μ-mean)/(σ/sqrt(n))

The Attempt at a Solution


I need help picking which variables to use. Once I have all of the variables defined the analysis is straight forward. But applying this knowledge to real world data that i have collected is what I am struggling with.

would I be getting my standard deviation from the averages for each year?
 
Last edited:
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Title should say "Applying Hypothesis Test TO data Collected (Statistics)"
 
The standard deviation for the sample is 0.74810893259146
While the average for the whole sample size is 1.510638

The standard deviation for the averages of each year is 0.1903943276466
while the average of the averages is 1.5
 
Dusty912 said:

Homework Statement


So I am doing a project for statistics and wanted to apply a hypothesis test to see if there is a correlation between the number of years spent at my college and the number of services used. The services include library, recreational services, clubs, etc.. i sent out a survey to get data from students and obtained a sample of 50 students with a mean of 1.510638 services used for the whole sample size. The average for first year students is 1.4. The average for second year students is 1.25, the average for 3rd year students is 1.6, the average for 4th year students is 1.75 and the average for 5th year students is 1.5.

SO my null hypothesis would be : number of years spent at my college would have no effect on number of services used

AND my alternative hypothesis would be that number of years spent at my school has an effect on number of services used.

I think that there will be no correlation. Just wondering how to set this up and execute it so I can prove statistically what is going on here. Any help would be appreciated!

Homework Equations


standard deviation (σ)
mean
z=(μ-mean)/(σ/sqrt(n))

The Attempt at a Solution


I need help picking which variables to use. Once I have all of the variables defined the analysis is straight forward. But applying this knowledge to real world data that i have collected is what I am struggling with.

would I be getting my standard deviation from the averages for each year?

This looks like a standard problem in ANOVA---Google it.
 

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