Saturday, July 10, 2010
, 6:31 PM
From the data that we gathered and after
analysing them. We found out that Oral temperature taking is a much more accurate way of obtaining temperature.There is positive,moderate significant association between axilla and oral temperature. There is no significant difference between female and male temperature.
Wednesday, July 7, 2010
, 5:47 PM



Result:
There is positive,moderate and significant association between Axilla and Oral temperature (r=0.046, p is less than 0.05, n=30)

Result: There are no positive,weak and no significant associations between a person's axilla and oral temperature for different sex with the assiciation for male and female. The association for male (r=0.32, p=0.245, N=43) and female's association is (r=0.65, p= 0.009, N=15)
Monday, July 5, 2010
, 4:01 PM
Friday, July 2, 2010
, 2:57 PM
Monday, June 28, 2010
, 1:22 AM
Throughout the whole study, our group faced many problems and rejections as follows:
- Finding people to participate in the study.
- People do not want to participate as 3 readings of both oral & axilla was needed.
- Too time consuming.
- Low batteries life of the thermometers.
- Participate unwilling to take pictures of them doing the study.
- Compiling the information.
- Entering numbers into SPSS and generating the data.
- Others such as sick participants etc.
Saturday, June 26, 2010
, 2:26 PM
How was the data collection done?
- It was through stratified random sampling.
How did you gather the sample?
- We chose to take the temperature reading from the age group of between 18 - 22 years old.
What did you use to measure?
- Thermometers of the exact same brand to take both axillary and oral temperature to avoid unwanted errors.
How often - once or average of three?
- Average of three. Having the average reading is more accurate overall result
Any rejections?
- Yes. Some are unwilling to take the picture in the process of taking the temperature, others are unwilling because they happen to be sick.
Monday, June 21, 2010
, 5:14 PM
Null Hypothesis states no relationship among the variables in the study while Research hypothesis states the relationships among the variables in the study.
- Null hypothesis: There is no significant relationship between oral and axilla temperature.
- Reseach hypothesis: There is a significant relationship between oral and axilla temperature.
Variables that we used.
- Dependent: oral / axilla temperature.
- Independent: accuracy of the readings.
- Extraneous: Current medical condition, surrounding temperature, activities done.
Sunday, June 20, 2010
, 3:44 PM
We're going to use ramdom sampling, using our peers as subjects with a sample size of 30 people. We will go around School of Health Sciences and randomly choose people to participate in our study.
- Find 15 guys & 15 girls randomly in the school of health sciences.
- Ask for consent.
- Using digital thermometer with thermometer sheath, take reading of oral & readings of axilla temperature.
- Repeat process for another 2 more times.
- Then we take the average of the 3 readings as the final reading.
- Record and compile the results.
Thursday, June 17, 2010
, 3:18 PM
Oral temperature is taken when the thermometer is placed in the oral cavity (mouth, under the tongue) and Axilla temperature is taken by placing the thermometer at the underarm (armpits) of the person.
Purpose of this study- To see if there is any relationship in the readings of oral & axilla temperature.
The importance of the study will determine the accuracy of two different methods of taking body temperature. Difference in readings could affect the interventions given to the patient. Therefore, a more accurate reading would be perferred. We would like to find out how much do the two readings defer by and by doing so, calculations could be made by healthcare workers and measuring body temperature of patients who are contraindicated (oral trauma/injuries) would be accurate too.
Tuesday, June 15, 2010
, 2:45 PM
Greetings to everyone who chance upon this blog. We are a group of year 3 nursing students doing a module on Statistics on Health Sciences. And this is our project, gathering data and creating a blog to post up the process and results.
The contents of the blog will be as follows:
- Introduction of our group members
- Intorduction of the project.
- Evidence of data collection.
- Analysis of data using SPSS 17.0.
- Interpretion of findings results.
- Conclusion of the project.
- Reflection on the project.