2. A researcher is concerned about the level of knowledge possessed by university students in the field of algebra. Students completed a high school senior level standardized algebra exam. Major for students was also recorded. Data in terms of percent correct is recorded below for 32 students. Use the Microsoft Excel "Anova Single-Factor" Data Analysis tool to conduct a 1-way ANOVA test for the data in the following table:

1. What is your computed answer?
2. What would be the null hypothesis in this study?
3. What would be the alternate hypothesis?
4. What level of significance did you choose and why?
5. What were your degrees of freedom?
6. Is there a significant difference between the four testing conditions?
7. Interpret your answer in the context of the problem statement.

A study was designed to compare the attitudes of two groups of nursing students towards computers. Group 1 had previously taken a statistical methods course that involved significant computer interaction. Group 2 had taken a statistic methods course that did not use computers. The students' attitudes were measured by administering the Computer Anxiety Rating Scale (CARS). A random sample of 13 nursing students from Group 1 resulted in a mean score of 64.4 with a standard deviation of 2.3. A random sample of 16 nursing students from Group 2 resulted in a mean score of 69.6 with a standard deviation of 2.2. Can you conclude that the mean score for Group 1 is significantly lower than the mean score for Group 2? Let μ1 represent the mean score for Group 1 and μ2 represent the mean score for Group 2. Use a significance level of α=0.1 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. t test

United States has approximately 1.1 Million International Students out of which 3,50,000 students are from china, 200,000 from India.

Every year, approximately 20,000 Indian students come to United states for pursuing university education. The Minitab file has 500 students sample out of 20,000 in 2017. Based on this…

1. What is the range of GRE score in which TRUE POPULATION mean may belong? What is your understanding from this question?

2. What is the range of TOEFL score in which TRUE POPULATION mean may belong? What is your understanding from this question?

1. Identify whether each of the situations below is a one-tailed or two-tailed test. Next identify the dependent variable. Then write the research and null hypothesis in symbols (i.e. H1: µ_{. . .} =/> etc . . .). You should clearly identify the two groups using subscripts after each µ.
   1. You are interested in finding out whether the average household income of Washington residents is different from the national average for households in other states.
   2. You hypothesize that students at liberal arts colleges attend more parties per month than students in state universities.
   3. An economist believes that the average income of elderly women is smaller than the average income of elderly men.
   4. Is there a difference in the amount of time students living on campus and students living off campus devote to studying each week?
   5. Math scores for a group of third graders enrolled in an accelerated math program are predicted to be higher than the scores for non-enrolled third graders.
   6. The number of times someone gets sick each year is predicted to be lower for adults who own dogs than for non-dog owners.

A researcher would like to know whether there is a significant relationship between Verbal skills and Math skills in population of high school students. A sample of n = 200 students is randomly selected and each student is given a standardized Verbal skills test and a standardized Math skills test.

Based on the test results, students are classified as High or Low in Verbal skills and Math skills.

The results are summarized in the following frequency distribution table (i.e., the numbers represent the frequency count of students in each category):

Based on these results, can the researcher conclude that there is a significant

relationship between Verbal skills and Math skills? Test at the .05 level of significance.

For full credit, your answer must include:

         - hypotheses

         - computed Chi² test for Independence (show all computational steps)

         - computed phi-coefficient to measure the strength of the relationship

         - df and the critical Chi²value for p < .05

         - decision about H₀ and conclusion in the APA reporting format

A marketing researcher predicts that college students will be more likely to purchase tickets for... A marketing researcher predicts that college students will be more likely to purchase tickets for the next football home game if their team won (vs. lost) the last game. The researcher asked 6 WSU students their willingness to purchase tickets (1= not likely at all, 7=very likely) and 6 EWU students their willingness to purhcase tickets (1=not likely, 7=very likely) (WSU won the game in the 2018 season)

WSU: 7 6 5 7 2 4

EWU: 6 5 6 5 1 6

In answering the questions, make sure to write down the following 7 steps.

Step 1. Establish null and alternative hypotheses (as a sentance and formula)

Step 2: Calculate the degrees of freedom

Step 3: calculate the t-critical using critical t-table

Step 4: calculate the Sum of Squares deviation

Step 5: Calculate t-obtained

Step 6: Specify the critical value and the obtained value on a t-distribution curve.

You are curious about the role of graduate status on work-life balance in Tech students. In a sample of 100 undergraduate students, 37 reported having trouble balancing school and work. In a separate sample of 75 graduate students, 50 had trouble with this balance. Test the null hypothesis that undergraduate or graduate students are equally likely to have trouble with work-life balance (alpha=0.05).

For independent sample t-tests: mean values for each sample, the variances for each sample, estimated standard error of the difference in means, the t-ratio, degrees of freedom, the t-critical value, and your decision to reject or retain the null.

For dependent sample t-tests: mean values for each sample, standard deviation for the difference between groups, standard error of the difference between the means, the t-ratio, degrees of freedom, the t-critical value, and your decision to reject or retain the null.

For proportions: sample proportions, combined proportions, standard error of the difference, z-score, critical z-score, and your decision to reject or retain the null.

Using SQL create a new database called school_app. Create a student table with fields id (auto increment), first_name, last_name. Create a course table with fields id (auto increment), course code (such as ITC or MTH), and course number (such as 100 or 295). Note that the relationship between student and course is many-to-many (n:m). Create a join table called student_course that implements the n:m relationship with fields id (auto increment), student_id, course_id, and grade (which has values 0, 1, 2, 3, or 4). Insert data into all the tables with at least 10 different students and at least 3 different courses (you must be one of the students). Make sure all the students are taking multiple courses and all courses have multiple students. Do not use the data from anyone else in this course. When finished, do a SELECT * for all three tables and copy/paste the results here:

If someone could help me with this, it would be greatly appreciated. Ill certainly give a thumbs up!

The number of undergraduate students at the University of Winnipeg is approximately 9,000, while the University of Manitoba has approximately 27,000 undergraduate students. Suppose that, at each university, a simple random sample of 3% of the undergraduate students is selected and the following question is asked: “Do you approve of the provincial government’s decision to lift the tuition freeze?”. Suppose that, within each university, approximately 20% of undergraduate students favour this decision. What can be said about the sampling variability associated with the two sample proportions?
(A) The sample proportion for the U of W has less sampling variability than that for the U of M.

(B) The sample proportion for the U of W has more sampling variability that that for the U of M.

(C) The sample proportion for the U of W has approximately the same sampling variability as that for the U of M.

(D) It is impossible to make any statements about the sampling variability of the two sample proportions without taking many samples.

(E) It is impossible to make any statements about the sampling variability of the two sample proportions because the population sizes are different.

Could you explain why answer is (B)

According to the university's website design request, students need to order five books, one for each of the five required courses that all students take. You need to design a program that will prompt students for the price of each book and display the total cost for the five books.

The university reassessed its needs for the website design and determined it will no longer require all students to take five classes.

Update the website program to reflect the following changes:

• Prompt the student for the number of courses being taken
• Use a while loop to prompt the student for the price of each book based upon the number of classes being taken
• After the price of each book has been entered, prompt the user for shipping options: delivery or pick-up
• Use an if statement to add the charges to the total price if the shipping charges are greater than 0
• Display the total cost

Create a 1/2- to 1-page document containing pseudocode based on the revised program needs.

Create a 1-page flowchart based on the algorithm for the revised program needs.