An instructor is implementing a cutting-edge reading instruction method with his students, aiming to assess whether this novel method will result in differences in reading proficiency levels. To evaluate their reading proficiency, the instructor administers a standardized test of reading proficiency, with the maximum score on this test being an 85. To interpret their performance level on the test, he would like to compare their mean with the hypothesized population mean () = 50. The instructor would like to determine if the mean reading test score for the sample of n = 20 students is different from the population mean, = 50. Use = .05. The reading test scores for the 20 students are available on eClass under the filename:Proficiency_Scores.csv. This question is worth 10 marks total. Run a one-sample t-test in jamovi to help you answer the following questions:

I think this is the right one-sample t-test in jamovi, but im not sure. It's supposed to help with answering the questions

One Sample T-Test One Sample T-Test Statistic df p Effect Size Reading Proficiency Test Score Student's t 1.97 19.0 0.063 Cohen's d 0.442 Note. Ha H # 50 Normality Test (Shapiro-Wilk) W p Reading Proficiency Test Score 0.977 0.891 Note. A low p-value suggests a violation of the assumption of normality Descriptives N Mean Median SD SE Reading Proficiency Test Score 20 55.5 55.5 12.5 2.78