Statistic analysis using One sample T. test
£10-20 GBP
Paid on delivery
I have an analysis of 12 factors by using One sample T. test. I have a question regarding the difference between the percentage of participants’ responses table compared with One sample T. test output table.
I am using 5 Likert scales to assess the importance of these factors
Very important, important, may be important not imprtant and not relevant.
one factor become is not statistically significant, although 50% of participants indicated that this factor is important, 25% may be not important, 17% is not important, 8% is very important and 0 said not relevant.
50%: Important
25% :may be not important
17% :not important
8%: very important
0%: not relevant
the output of this factor:
the output of the One sample test
Sig. (2-talied) = .082
the Test difined as 3
P-value = 0.0026
which means that .082 > 0.0026
any explanation to link these tables. Because when I looked at the table of the percentage of participants’ responses I assumed that this factor will be statistically significant. but with the t. test it is not statistically significant! Could you give me an explanation
Project ID: #21452466
About the project
22 freelancers are bidding on average £22 for this job
Hi ... I can help you with your assignment. I have completed multiple projects related to SPSS and Statistics. You can check my profile too.
I can explain why you expect it to be statistically significant on the basis of sample distribution over scores. While t test gives you just the opposite, showing insignificant results. I am an experienced statistician More
I can help conduct t-test on your data. Send me a message and let's discuss your project in details. Thank you
Hello sir ! We are a group of expert, each with a master's degree in economics and statistics , we have a good experience and brilliant skills in statistical analysis using spss or R Programming Language, we promise y More
Hello, i have read the details provided..please contact me to discuss more on the project deadline and some other few things
Hi, I am Ibrahim and I am a data scientist, I am expert in statistics, and t-tests are no problem, I need to understand the data and want the complete table for detailed analysis, is that possible? Regards, Ibrahim An More
Hello, I read your description and I can easily do this task of Statistic analysis using One sample T. test.I have completed my PhD with the specialization in statistics. I am well versed in using SPSS, Excel, Eviews, More
I have read your project and I am expert in this field. I can do this for you within due time and honestly. I also have a few questions to discuss. Kindly contact me and we will discuss time and budget. Thanks
If you are using Likert scale, then we can also use non-parametric version of t test, I can best teach you concept of p-value and alpha P value = 0.0026 must be compared with alpha, which is usually equal to 0.05 I More
Hello, I am laureat of a big school of engineers in statistics and applied economics with a long experience in this field, and I realized several projects based using software SPSS, Eviews and R. """"""T-test is not ap More
I have Ph. D in statistics with vast experience in studying and running data analysis. I can do your project efficiently
Hi, I am Saleh din i have master degree statistics and exprience data analysis, report writing, R, spss, and latex. I am interesting do this job if give me that, done very quikly with best quality..
I think your confusing the test statistic and its value. Also you might want to check the assumptions for t test are satisfied. Also if your using proportions why not use chi-squared test. Relevant Skills and Experien More
Hi From the data you give it looks like you have run the wrong test. The one sample t-test will test against a zero mean for your data . I Checked this using R and it does return a p-value = 0.08. However this is wrong More
Hello the power of an t-test depends of the standart deviation. You cant prove 12 different factors in t-test. If they depends on each other please use an anova or regresion.