Two teaching methods and their effects on science test scores are being reviewed. A random sample of 13 13 students, taught in traditional lab sessions, had a mean test score of 74.8 74.8 with a standard deviation of 4.3 4.3 . A random sample of 19 19 students, taught using interactive simulation software, had a mean test score of 87.3 87.3 with a standard deviation of 5.6 5.6 . Do these results support the claim that the mean science test score is lower for students taught in traditional lab sessions than it is for students taught using interactive simulation software? Let μ1 μ 1 be the mean test score for the students taught in traditional lab sessions and μ2 μ 2 be the mean test score for students taught using interactive simulation software. Use a significance level of α=0.05 α = 0.05 for the test. Assume that the population variances are equal and that the two populations are normally distributed. Step 1 of 4 : State the null and alternative hypotheses for the test.
Can u post all 4 steps ?
In: Statistics and Probability
The average exam score for students enrolled in statistics classes at Indiana University Northwest is 80 and grades are normally distributed. A professor decides to select a random sample of 25 students from his CJ statistics class to see how CJ students compare to the student body in terms of exam performance. The average exam score of this sample is 78 with a variance equal to 100. Are the stats exam scores of the students in the CJ class significantly different when compared to the average university student at IUN?
a. Reach a statistical conclusion
b. Interpret your results
c. What would be your statistical conclusion and interpretation if the size of the selected sample would be 100?
2. Using the information provided at Q1, calculate the 95% confidence interval of the mean stats exam scores for the population of CJ students enrolled at IUN. [sample size = 25]
a. Interpret the 95%CI
b. Test the hypothesis that the CJ students’ population mean at stats exam is 80. Do you reject or fail to reject the null hypothesis? Justify your conclusion.
In: Statistics and Probability
Kenton and Denton Universities offer executive training courses to corporate clients. Kenton pays its instructors $6,384 per course taught. Denton pays its instructors $304 per student enrolled in the class. Both universities charge executives a $344 tuition fee per course attended.
quesion 5
Required
Prepare income statements for Kenton and Denton, assuming that 21 students attend a course.
Kenton University embarks on a strategy to entice students from Denton University by lowering its tuition to $224 per course. Prepare an income statement for Kenton assuming that the university is successful and enrolls 40 students in its course.
Denton University embarks on a strategy to entice students from Kenton University by lowering its tuition to $224 per course. Prepare an income statement for Denton, assuming that the university is successful and enrolls 40 students in its course.
Prepare income statements for Kenton and Denton Universities, assuming that 13 students attend a course, and assuming that both universities charge executives a $344 tuition fee per course attended.
In: Accounting
OBJECTIVE-C
For this program a teacher needs to be able to calculate an average of test scores for students in their course. Your program must ask the Professor ho many students and how many tests will be averaged per student. Your program should then allow the Professor to enter scores for each student one at a time and then average those scores together. For example, if a student has 5 scores to be entered and the scores are 80, 60, 65,98, and 78 the average should be 76.2%
Here is what I got.
#import <Foundation/Foundation.h>
int main (int argc, const char * argv[])
{
int students, numOfScores, scores, sum;
float average;
NSLog(@"Enter number of students");
scanf("%i", &students);
NSLog(@"Enterh number of scores");
scanf("%i", &numOfScores);
int n;
int s;
for (n = 1; n <= students; n++){
for (s = 1; s <= numOfScores; s++)
{
NSLog(@"Enter the score");
scanf("%i", &scores);
sum = sum + scores;
}
}
average = (float) sum / numOfScores;
NSLog(@"An average score is %f", &average);
return 0;
}
In: Computer Science
There are 16 students in a class. Each student has either a bicycle or a tricycle. There are exactly 37 wheels altogether.
How many bicycles do the students have?
In: Advanced Math
How are universities and K-12 institutions supporting their students, staff, and faculty amidst the pandemic? How has the pandemic influenced dietary habits among students?
In: Psychology
Physical, social and intellectual development and characteristics of students
Demonstrate knowledge and understanding of physical, social and intellectual development and characteristics of students and how these may affect learning
In: Psychology
Below are the grade point averages for 24 randomly chosen university business students during a recent semester.
a) Is there sufficient evidence to indicate that the variances for the four classifications of students are not the same? Assume alpha is 0.05.
b) What is the p-value for this problem? Explain its meaning in words.
c) Is there sufficient evidence to indicate that the means for the four classifications of students are not the same? Use alpha = 0.05.
d) If there is a significant difference in the means for the four classifications of students, what test would you use to determine which one’s are higher or lower?
| GRADE POINT AVERAGE | OF 24 | BUSINESS | STUDENTS |
| FRESHMAN | SOPHOMORE | JUNIOR | SENIOR |
| 1.19 | 3.89 | 3.01 | 3.32 |
| 2.14 | 2.02 | 2.89 | 2.45 |
| 3.47 | 2.96 | 3.45 | 3.81 |
| 2.19 | 3.32 | 3.67 | 3.02 |
| 2.71 | 2.29 | 3.33 | 3.01 |
| 3.11 | 2.82 | 2.98 | 3.17 |
In: Statistics and Probability
A random sample of Penn State World Campus undergraduate and graduate students were contacted and data concerning their gender identities were recorded. In a random sample of 40 undergraduate students, 21 identified as men and 19 identified as women. In a random sample of 40 graduate students, 17 identified as men and 23 identified as women. [15 points]
A. Is it appropriate to use the normal approximation method here to construct a confidence interval for the difference in population proportions? Show your work.
B. Construct a 95% confidence interval to compare the proportion of undergraduate students who identify as men to the proportion of graduate students who identify as men. If assumptions were met in part A, use the normal approximation method. Do not do any calculations by hand. Use Minitab Express and remember to copy+paste all relevant output and to clearly identify your final answer.
In: Statistics and Probability
In: Statistics and Probability