The following data show the means for four treatment conditions as well as the overall means for the columns and the rows. For these data, what numbers are compared to assess the main effect of factor A?A1A2B1M = 20%3DM = 60M = 40%3DB2M = 30M = 70M = 50%3D%3DM = 25M = 65O 30; 7020; 30O 40; 50O 25; 65

The following data show the means for four treatment conditions as well as the overall means for the…

Answered: The following data show the means for…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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The following table summarizes the results from a two-factor study with two levels of factor A and three levels of factor B using a separate sample of n=5 participants in each treatment condition. Fill in the missing values.
Errors in medical prescriptions occur relatively frequently. In a study, two groups of doctors had similar err rates and one group switched to e-prescriptions while the other continued with hand-written prescriptions. C year later, the number of errors was measured. The results are given in the two-way table. No Error Error 254 Electronic 3594 Written 1478 2370 a). Fill in the row and column totals. b). What proportion of all the prescriptions had errors in them? c). What proportion of electronic prescriptions had errors in them? d). What proportion of written prescriptions had errors in them? e). What proportion of the prescriptions with errors were written prescriptions?
The International League of Triple-A minor league baseball consists of 14 teams organized into three divisions: North, South, and West. Suppose the following data show the average attendance for the 14 teams in the International League. Also shown are the teams' records; W denotes the number of games won, L denotes the number of games lost, and PCT is the proportion of games played that were won. Team Name Buffalo Bisons Lehigh Valley IronPigs Pawtucket Red Sox Rochester Red Wings Scranton-Wilkes Barre Yankees Syracuse Chiefs Charlotte Knights Durham Bulls Norfolk Tides Richmond Braves Columbus Clippers Indianapolis Indians Louisville Bats Toledo Mud Hens Division North North North North North North South South South West West West WL West 66 77 0.462 55 89 0.382 85 58 South 63 78 0.447 PCT 88 56 74 70 0.514 69 73 0.594 0.611 0.486 69 73 74 70 0.514 64 78 0.451 63 78 0.447 0.486 68 76 0.472 88 56 0.611 75 69 0.521 Attendance 8,819 8,478 9,099 6,917 7,141 5,769 4,525 6,998 6,284 4,451…
Use excel please
The London School of Economics and the Harvard Business School have conducted studies of how chief executive officers (CEOS) spend their time. These studies have found that CEOs spend many hours per week in meetings, not including conference calls, business meals, and public events (The Wall Street Journal). Shown below is the time spent per week in meetings (hours) for a sample of 25 CEOS. 20 20 23 15 19 a. What is the least amount of time spent per week on meetings? The highest? 17 - 18 19 - 20 21 22 23 24 Total Prepare a histogram 22 23 14 19 17 Frequency b. Use a class width of two hours to prepare a frequency distribution and a percent frequency distribution for the data. Round your answers to the nearest whole number. If your answer is zero, enter "0". Hours in Meetings per week 11-12 13 - 14 15 - 16 Percent Frequency % % % % 12 % % % % 18 13 15 23 23 17 12 15 19 21 20 12 17 21
Part A: A researcher wants to determine if there is a relationship between having been to college and preferring cats or dogs. Perform the appropriate test based on the following data: Cats Dogs College 42 52 No College 36 47 (Rows: College. Columns: Cats vs Dogs) Part B: Test the hypothesis that the same proportion of students find the following pet-types to be their favorite. Cats Dogs Rocks Turtles 29 31 26 26
Let’s say a psychologist suspects that emotions affect people’s eating habits, but that the eating habits of anxious people are affected differently. Ten highly anxious subjects are randomly divided into two equal-sized groups, one of which views a horror movie while the other watches a comedy. Ten non-anxious control subjects are similarly divided. The number of ounces of popcorn eaten by each subject during the movie is recorded. How many independent variables are there in this design? Name each of the factors and levels (using appropriate descriptors from the paragraph): How many total conditions (groups) are there in this design? Name the dependent variable:
The International League of Triple-A minor league baseball consists of 14 teams organized into three divisions: North, South, and West. The data showing the average attendance for the 14 teams in the International League are contained in the Excel Online file below. Also shown are the teams’ records; W denotes the number of games won, L denotes the number of games lost, and PCT is the proportion of games played that were won. Construct a spreadsheet to answer the following questions. Team Name Division W L PCT Attendance Buffalo Bisons North 66 77 0.462 8791 Lehigh Valley IronPigs North 55 89 0.382 8454 Pawtucket Red Sox North 85 58 0.594 9080 Rochester Red Wings North 79 70 0.53 6909 Scranton-Wilkes Barre Yankees North 88 56 0.611 7164 Syracuse Chiefs North 69 77 0.473 5749 Charlotte Knights South 68 78 0.466 4545 Durham Bulls South 74 70 0.514 7020 Norfolk Tides South 64 78 0.451 6269 Richmond Braves South 63 79 0.444 4449 Columbus Clippers West 69 73 0.486…
Psychologists at Disney World measured factors that affect the scariness of the soundtrack for their Haunted House ride. In particular, they were interested in the loudness of the screams (soft versus loud) and the length of the screams (short versus long). They used a 2 × 2 factorial design to test how these factors combined. They collected data from 10 different riders in each of the four conditions. Each rider rated the scariness of the ride on a nine-point scale. short screams long screams soft screams T=38, n = 10, SS = 13.6 T=64, n = 10, SS = 22.4 loud screams T=52, n=10, SS = 29.6 T=50, n=10, SS = 16.0 For these data: G = 204, N = 40, X2 = 1156. 1. Sketch a dataplot of the mean rating in each condition. 2. Calculate SS total, the total sum of squares 3. Calculate SSwithin, the within-treatments sum of squares. 4. Calculate SSbetween, the between-treatments sum of squares. 5. Calculate SSA the sum of squares for Factor A (length of scream). 6. Calculate SSB, the sum of squares…
Education Influences attitude and festyle. Differences in education are a big factor in the "generation gap." Is the younger generation really better educated? Large surveys of people age 65 and older were taken in n, = 37 U.S. cities. The sample mean for these cities showed that x, 25.2% of the older adults had attended college. Large surveys of young adults (age 25 - 34) were taken in a,- 32 U.S. attes. The sample mean for these aties showed that x, = 19.6% of the young adults had attended college. From previous studies, t is known that o, - 6.H% and o, 5.6%. Does this Information Indicate that the population mean percentage of young adults who attended college Is higher? Use a = D.05. (a) what is the level of signifcance? state the null and altemate hypotheses. O Hai H, = Hi H H, H O H, H,
Charlotte-Mecklenburg Schools Math 1. Unit 4. Lesson 7 Student 3. Plots of the residuals for four different models of the same data set are displayed. Which of the following plots fit the data best? a. 1 2 3 2 1 3+ 1 2 3 4 5 6 7 8 9 10 b. 3 2 1 1 2 3 + ● 1 2 3 4 5 6 7 8 9 10 C. 4 3 2 1 1 2 3 4 ● 1 2 3 4 5 6 7 8 0 10 d. 3- 2 1 N 2. 3+ 1 2 3 4 5 6 7 8 9 10
Name each experimental design (a through e). Describe each factor - how many levels and the type of factor. Note: Gn denotes a group of subjects, and An, Bn, or Cn is a level of factor A, B, or C. [key words: ANOVA data, nested, factors, factorial design, between subject, within subject, etc.]

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