Within the MedTech Department, students were randomly assigned to one of two Biostatistics teachers - Ma'am X and Sir Y. After the assignment, Ma'am X had 30 students, and Sir Y had 25 students. At the end of the year, each class took the comprehensive departmental exam. Ma'am X's students had an average test score of 82.5, with a variance of 80; and Sir Y's students had an average test score of 83.9, with a variance of 125. Test the hypothesis that Ma'am X and Sir Y are equally effective teachers. Use a 0.10 level of significance.

Within the MedTech Department, students were randomly assigned to one of two Biostatistics teachers - Ma'am X and Sir Y. After the assignment, Ma'am X had 30 students, and Sir Y had 25 students. At the end of the year, each class took the comprehensive departmental exam. Ma'am X's students had an average test score of 82.5, with a variance of 80; and Sir Y's students had an average test score of 83.9, with a variance of 125. Test the hypothesis that Ma'am X and Sir Y are equally effective teachers. Use a 0.10 level of significance.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter6: Systems Of Linear Equations And Inequalities

Section6.1: Graphing Systems Of Equations

Problem 59PFA

See similar textbooks

Similar questions

If a man has 4 sweaters and 5 pairs of slacks, how many different outfit can he wear?
As an economics class project, Debbie studied a random sample of 14 stocks. For each of these stocks, she found the cost per share (in dollars) and ranked each of the stocks according to cost. After 3 months, she found the earnings per share for each stock (in dollars). Again, Debbie ranked each of the stocks according to earnings. The way Debbie ranked, higher ranks mean higher cost and higher earnings. The results follow, where x is the rank in cost and y is the rank in earnings. Stock 1 2 3 4 5 6 7 8 9 10 11 12 13 14 x rank 4 12 5 7 8 11 9 13 10 6 2 3 14 1 y rank 9 7 11 14 6 10 12 5 4 3 2 1 13 8 Using a 0.01 level of significance, test the claim that there is a monotone relation, either way, between the ranks of cost and earnings. (a) What is the level of significance? (b) Compute the sample test statistic. (Use 3 decimal places.)
An epidemiologists is studying two populations that have recently had an outbreak of a disease with similar symptoms. In one population of 600 people, 450 of them became infected and 3 of them died. In the other population of 200 people, 20 were infected and 10 died. Did the two towns have an outbreak of the same disease? Defend your answer. Use prevalence and mortality rates to help you.
A library has an average of 510 visitors on Sunday and 240 on other days. The average number of visitors per day in a month of 30 days beginning with a Sunday
A researcher believed that the number of rental cars in service by a car rental company would have an impact on the total annual revenue for that car rental company. Five small car rental companies were surveyed, with the number of Cars in service recorded in units of 1000 (so if a car rental company had 54000 cars in service, a 54 would be recorded) and Annual Revenue measured in millions of dollars (so an Annual Revenue of $10,000,000 would be recorded as 10). The data follows: Cars (1,000s) Annual Revenue ($ millions)11.5 118 10.0 135 9.0 100 5.5 37 3.3 32 Part of the Excel-generated Simple Linear Regression output is provided below: ANOVA df SS MS F Significance F Regression 1 7891.863897 7891.863897 22.91180151 0.017339231 Residual 3 1033.336103 344.4453677 Total 4 8925.2 Coefficients Standard Error t Stat P-value Intercept -19.12490108 23.1658578…
Brandon's score in the high jump at a track and field event showed that he was only able to jump higher than 27% of his competitors. Find the z score for Brandon's high jump score.
A researcher believed that the number of rental cars in service by a car rental company would have an impact on the total annual revenue for that car rental company. Five small car rental companies were surveyed, with the number of Cars in service recorded in units of 1000 (so if a car rental company had 54000 cars in service, a 54 would be recorded) and Annual Revenue measured in millions of dollars (so an Annual Revenue of $10,000,000 would be recorded as 10). The data follows: Cars (1000s) Annual Revenue ($ millions)11.5 118 10.0 135 9.0 100 5.5 37 3.3 32 Part of the Excel-generated Simple Linear Regression output is provided below: Regression Statistics Multiple R 0.940331133 R Square 0.884222639 Adjusted R Square 0.845630185 Standard Error 18.55923942…
A researcher believed that the number of rental cars in service by a car rental company would have an impact on the total annual revenue for that car rental company. Five small car rental companies were surveyed, with the number of Cars in service recorded in units of 1000 (so if a car rental company had 54000 cars in service, a 54 would be recorded) and Annual Revenue measured in millions of dollars (so an Annual Revenue of $10,000,000 would be recorded as 10). The data follows: Cars (1000s) Annual Revenue ($ millions)11.5 118 10.0 135 9.0 100 5.5 37 3.3 32 Part of the Excel-generated Simple Linear Regression output is provided below: ANOVA df SS MS F Significance F Regression 1 7891.863897 7891.863897 22.91180151 0.017339231 Residual 3 1033.336103 344.4453677 Total 4 8925.2…
A researcher believed that the number of rental cars in service by a car rental company would have an impact on the total annual revenue for that car rental company. Five small car rental companies were surveyed, with the number of Cars in service recorded in units of 1000 (so if a car rental company had 54000 cars in service, a 54 would be recorded) and Annual Revenue measured in millions of dollars (so an Annual Revenue of $10,000,000 would be recorded as 10). The data follows: Cars (1000s) Annual Revenue ($ millions)11.5. 11810.0. 1359.0. 1005.5. 373.3. 32 Part of the Excel-generated Simple Linear Regression output is provided below: ANOVA df SS MS F Significance F Regression 1 7891.863897 7891.863897 22.91180151 0.017339231 Residual 3 1033.336103 344.4453677 Total 4 8925.2…
A school superintendent wanted to know whether there were differences between the high schools in her district with regards to the proportion of students who do not live with their biological parents. She surveyed 200 students from each of the two high schools – East and West. The proportion of students from the survey at East who do not live with their biological parents is 3.4%. The proportion of students from the survey at East who do not live with their biological parents is 4.2%. Using a 95% confidence interval (2SD or Theory based), can the superintendent conclude that there is a difference between East and West with respect to the proportion of students who do not live with their biological parents. Group of answer choices Yes she can conclude there is a difference because the confidence intervals overlap. No she cannot conclude there is a difference because the confidence intervals overlap. Yes she can conclude there is a difference because the confidence intervals don’t…
Meghan is a psychology major who is testing a maze for a group of mice to navigate. In order for it to be productive for a class project, she would like the average time for a mouse to complete the maze to be 90 seconds. She randomly selects 28 mice and has each mouse complete the maze. Meghan records the time, in seconds, that each mouse needed to complete the maze. The results are provided in the accompanying data table. Based on research and previous results, Meghan assumes that the population is normally distributed and the population standard deviation is 5.80 seconds. Use Excel to test whether the mean amount of time a mouse completes the maze is 90 seconds, and then draw a conclusion in the context of the problem, where α=0.10. Time (seconds) 85.71 93.16 87.00 89.71 94.26 92.05 86.16 82.16 94.76 HelpCopy to ClipboardDownload CSV Select the correct answer below:…
The number of patrol officers needed on staff depends on the crime rate of the county, which is calculated based on the number of crimes per year. At a 3% crime rate, the county hires 200 officers per 10,000 people in the population. For every 0.1% increase in crime rate, an additional 5 officers are hired per 10,000 people in the population. For every 0.1% below 3% crime rate, 3 fewer officers are hired. A 3% sign-on bonus is offered for officers with no experience when there is a 5% to 10% shortage in the number of officers employed. A 5% sign-on bonus is offered for officers with no experience when there is an 11% or higher shortage in the number of officers employed. A 6% sign-on bonus is offered for officers with at least 3 years of experience when there is a 5% to 10% shortage in the number of officers employed. A 10% sign-on bonus is offered for officers with at least 3 years of experience when there is an 11% or higher shortage in the number of officers employed. County…