1. The effectiveness of two methods of teaching statistics is compared. A class of 20 stu-dents is randomly divided into 2 groups and each group is taught according to a differentmethod. The test scores of the two groups at the end of the semester show the followingcharacteristics:Group 1: ₁9== 74.5 s² = 94.6=71.8 s = 102.6Group 2: n₂ = 11Round all calculations (including intermediate calculations) to 3 decimals.(a) Assuming underlying independent normal distributions with = o, find a 96%confidence interval for ₁-₂.(b) Does there appear to be a difference in teaching methods, based on the confidenceinterval you found in Question la? Why or why not?(c) (Graduate Student Only) Use the setup from Question 1 to answer the followingquestions.i. Compute a 90% confidence interval for o/o2, the ratio of the population vari-ances. Round values to 3 decimals.ii. Do we have a reason to believe that of and o2 are equal, based on the confidenceinterval you found in Question 1(c)i? Why or why not?

From the above given data the following solution is provided below:

Answered: 1. The effectiveness of two methods of…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

Question 1 W Show all your work. Indicate clearly the methods you use, because you will be scored on the correctness of your methods as well as on the accuracy and completeness of your results and explanations. A marketing director for a beverage company conducted a study to investigate people's soda preferences in two regions of the country. The director selected a random sample of 100 people from the east coast and a random sample of 100 people from the west coast to survey. The responses are summarized in the following table. East Coast West Coast Regular soda 44 37 Diet soda 39 42 No preference 17 21 Total 100 100 Do the data provide convincing statistical evidence, at the level of a = 0.05, that the preferences are different between the two regions of the country? Complete the appropriate inference procedure to support your answer.
R %24 FE %#3 %24 Is the proportion of wildfires caused by humans in the south higher than the proportion of wildfires caused by humans in the west? 374 of the 522 randomly selected wildfires looked at in the south were caused by humans while 390 of the 563 randomly selected wildfires looked at the west were caused by humans. What can be concluded at the a = 0.01 level of significance? a. For this study, we should use Select an answer b. The null and alternative hypotheses would be: :0H H1: Select an answer Select an answer Select an answer (please enter a decimal) Select an answer Select an answer Select an answer (Please enter a decimal) c. The test statistic ? O (please show your answer to 3 decimal places.) d. The p-value (Please show your answer to 4 decimal places.) e. The p-value is ? e a f. Based on this, we should elect an answer the null hypothesis. g. Thus, the final conclusion is that O The results are statistically insignificant at a = 0.01, so there is statistically…
Based from the photo, This is the step1, so step 2 and step 3 and Step 4 must be answered. (Step 2: Test Statistic -Pearson's r correlation coefficient AND Step 3: Critical Values, and Step 4: Solve For the test stat) so based it from the photo. The table shows the number of hours spend by 30 students in studing and their test scores. Solve for the Pearson’s r and interpret the results. Use 5% significance level. Step 1: Null and Alternative Hypothesis Ho: r = 0; There is no significant relationship between the number of hours spent studying and the students test scores. Ha: r ≠ 0; There is a significant relationship between the number of hours spent studying and the students test scores. Step 2: Test Statistic -Pearson's r correlation coefficient Step 3: Critical Values, Step 4: Solve For the test stat PLEASE SHOW ME COMPLETE SOLUTIONS AND CORRECT ANSWERS THANK YOU!! It was a pleasure to me. HIGHLIGHT STEP 4: (step 4 is must)!!
C6. The GSS 2014 asked respondents to identify what was important for "truly bemg American." When asked "How important to have American ancestry?" answers were measured on a 4-point scale: 1 = very important, 2 = fairly important, 3 = 1ot important, and 4 = not important at all. We selected a sample of 20 GSS respondents and present their individual responses. Complete the five-step model for these data, using alpha = .01 to assess the significance of the model. not very %3D %3D %3D White Black Other 1 4 2 2 3. 1 4. 4. 2. 2. 1, 2. 3.
(Score for Question 2: of 7 points) 2. The data in the table represents the ralnfall (in inches) for two different cities every month. City 1 3.1 4.5 6.3 7.3 4.3 33 2.1 1.1 0.9 0.8 City 2 2.3 2.4 3.3 3.6 3.2 5.2 2.2 2.1 2.0 1.8 (a) Which city had the most spread in their rainfall? Show your work (b) Calculate the IQR for both cities. What is the difference between the IQR for both cities? (c) Which city had the most rainfall? Explain why you chose that city Answer. States) OFocus 100% pased-station us-cli. ational Conters for Environmontal DE hp
If a = 1, b 1 = 10, b 2 = 10, X 1 = 2, and X 2 = 3, what would the predicted Y score be?
A psychologist would like to examine the effects of a new drug on the activity level of animals. Three samples of rats are selected with n=5 in each sample. One group gets no drug, one group gets s small dose, and the third group gets a large dose. The psychologist records the activity level for each animal. The data from this experiment are presented below. No drug Small dose Large dose 5, 3 , 1 , 1 , 5 5, 5, 9, 6, 5 10, 12, 9, 6, 8 =3, SS=16 =6, SS=12 =9, SS=20 Do these data indicate any significant differences among the three groups? Test with α=0.05. Compute the effect size and interpret the result.
man loves, as everyone should, to collect and analyze statistical information. He wishes to find a relationship between how many hours students study and how they do on their statistics tests. He takes a random sample of 16 students at Ideal U., asks how many hours they studied for a university-wide stat test and how they did on the test, enters the data into a computer for analysis and presents the results below. ANALYSIS OF HOURS AND GRADES (n = 16): Descriptive Statistics: HOURS GRADES Mean: 4.2 75.8 Mode: 5.0 79.0 St. Dev: 2.3 10.1 Quartiles: Q0 2.0 34.0 Q1 3.2 53.7 Q2 4.7 78.5 Q3 6.3 86.9 Q4 9.0 97.0 Regression Analysis: Reg. Eq. is: GRADE = 16.9 + 9.025*HOURS Rsquared = .985 std error = 0.027 F = 8.52 p = .018 What problem might there be in using the regression model to predict what grade a student might get if they studied 10 hours? a. The predicted grade for 10 hours is more than 100, which is impossible. b. The value of 10…
Q1. A psychologist conducted a study on the relationship between introversion and shyness. The values are results for scales of introversion and shyness. High positive scores on each scale indicate high introversion or shyness; and high negative scores indicate low introversion or shyness. Data collected from 10 people as follows: Introversion 4 -7 -1 0 6 7 -4 -9 -5 8 Shyness 11 -7 -1 -3 0 7 -1 -8 -1 5 a) Compute the correlation coefficient relating introversion and shyness scores. b) Find the regression equation which predicts introversion from shyness. c) What introversion score would you predict from a shyness score of 7?
Your daughter is wasting my husband's money by trying to collect 6 rare photocards from a foreign album. Calculate the average number of albums she needs to buy in order to get all the 6 collectibles. Use the three trials shown below for your simulation.(Note: Treat the data vertically, and in order).
The following data gives the means of two samples taken from a population. Test whether there is any significant difference between the two samples at 95% level. * = 60, y = 59, n₁ = 100, n₂ = 200 and a = 50. a. 1.46 b. 1.45 c. 1.604 d. 1.640 e. NONE OF THE ABOVE A OB O OE
Do question i and ii only.

Recommended textbooks for you

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

Elementary Statistics: Picturing the World (7th E…

Statistics

ISBN:

9780134683416

Author:

Ron Larson, Betsy Farber

Publisher:

PEARSON

The Basic Practice of Statistics

Statistics

ISBN:

9781319042578

Author:

David S. Moore, William I. Notz, Michael A. Fligner

Publisher:

W. H. Freeman

Introduction to the Practice of Statistics

Statistics

ISBN:

9781319013387

Author:

David S. Moore, George P. McCabe, Bruce A. Craig

Publisher:

W. H. Freeman

SEE MORE TEXTBOOKS