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# Analysis of Variance

### Determining Expected Duration, Variance and Probability

Please help find the following with the data attached: - Expected duration of activity H - Variance of activity H time - Critical path based on expected activity durations - Probability of completing this path in 22 weeks or less

### ANOVA Test for Participants in Certification Exam

See attached data file. 4. Do participants of different classifications (professional, paraprofessional, and nonprofessional) perform differently on the certification exam? Which group performs best? Professional Paraprofessional Nonprofessional Compare or see if they perform differently on the certification exam

### Anova analysis - Two sample test of ages groups who go to movies or rent movies

Correct 5 steps of the null and alternative hypothesis in words Correct decision relative to the null hypothesis (F test) Correct description and interpretation of the post hoc Tukey T tests Age group Age count Goes to movies Rent movies 15-20 220 150

### Degrees of Freedom and Critical value; ANOVA table

See attached file for clarity. Can you explain what are the degrees of freedom on this example . (Is it 87 or 89?) and how do I get critical value? One factor ANOVA Mean n Std. Dev 5.9 30 1.90 Text message 6.4 30 1.45 Internet 5.2 30 1.58 E-mail 5.8 90 1.71 Total AN

### Describe mean differences in each of the three hypotheses tests of two-factor ANOVA

The structure of a two-factor study can be presented as a matrix with the levels of one factor determining the rows and the levels of the second factor determining the columns. With this structure in mind, how can one describe the mean differences that are evaluated by each of the three hypotheses tests that make up a two-facto

### Complete the ANOVA summary table

A company developed a drug to reduce hunger. To test it, 3 rat samples of n = 10 in each were taken. The first sample got the drug every day, the second sample got the drug once a week, and the third sample got nothing. The dependent variable was each rat's food amount eaten over 1 month. The data was analyzed by ANOVA and repor

### ANOVA Table: Test for significant difference in means of three assembly methods

Three different methods for assembling a product were proposed by an industrial engineer. To investigate the number of units assembled correctly with each method, 30 employees were randomly selected and randomly assigned to the three proposed methods in such a way that each method was used by 10 workers. The number of units asse

### Hypothesis Testing Procedure: Two-Way ANOVA

A consumer research group is investigating performance claims from four different detergents. The following "whiteness" readings were obtained with specifically designed equipment for 12 loads of washing distributed over three different models of washing machine. Use the five step hypothesis testing procedure to determine if the

### Statistics: Calculate the two-way ANOVA using the data given

See attached file. Calculate a two-way ANOVA for the following situation. Suppose you are a school psychologist in a classroom setting and you want to find the effect that five teaching styles have on three types of learning activities with respect to knowledge gained. Answer the following questions: What are the independ

### ANOVA with alpha = .05, find significant mean differences in 3 treatments.

Treatments ____I_____II____III___ 2 5 7 N = 14 5 2 3 G = 42 0 1 6 SigmaXsquare = 182 1 2 4 2 2 ________________________________________ T = 12 T = 10 T = 20 SS = 1

### Hypothesis Testing - Mean, Proportion & ANOVA

10.9 A problem with a telephone line that prevents a customer from receiving or making calls is disconcerting to both the customer and the telephone company. The file contains samples of 20 problems reported to two dif-ferent offices of a telephone company and the time to clear these problems ( in minutes) from the customers' li

### A student team in a business statistics course performed a factorial experiment.

A student team in a business statistics course performed a factorial experiment to investigate the time required for pain relief tablets to dissolve in a glass of water. The two factors of interest were brand name Equate, Kroger or Alka -Seltzer, and temperature of the water hot or cold. The experiment consisted of four replicat

### 4 statistics questions: Two factor ANOVA, mean difference, F ratio, sample variances

Please do the 4 questions that are circled. Please show each calculation step and give a conclusion. 16. The structure of a two-factor study can be presented as matrix with the levels of one factor determining the rows and the levels of the second factor determining the columns. With this structure in mind, describe the mean

### Design an imaginary study using T-test or ANOVA

Design an imaginary study that has an experimental or quasi-experimental design that used or would use t-tests or ANOVAs in the data analysis. What is the null hypothesis? What is the level of significance in your experiment and what was learned because the analysis of the data showed that the divergence from the null hypothesis

### Explain analysis of variance.

Please explain the term analysis variance so a person without formal statistics education can understand.

### Test level of significance that not all mean times for pain relief are equal

Three different brands of pain relief medication are available for minor aches and pains. It is of interest to know whether the mean time to relieve the pain differs from brand to brand. To find out, twelve individuals with minor aches and pains were randomly assigned to one of the three brands. The time to relieve the pain (

### ANOVA: Sum of Squares

Please show the work. The following data represent the results from an independent-measures study comparing three treatments. a. Compute SS for the set of 3 treatment means. (Use the three means as a set of n = 3 scores and compute SS.) b. Using the result from part a, compute n(SSmeans). Note that this value is equ

### Statistics: ANOVA Test for Significant Difference in Two Halves of Data

First 8 49 28 32 1.2 31 45 26 last 7 38 32 45 32 42 36 43 1. Divide your data in half, your first 8 observations and your last 7 observations. Then use ANOVA to test to see if there is a significant difference between the two halves of your data. This list of Webpages that Perform Statistical Calculations

### Interpreting Data for Income Levels vs. Prices Paid for Cars

Look at the data below for the income levels and prices paid for cars for ten people: Annual Income Level Amount Spent on Car 38,000 12,000 40,000 16,000 117,000 41,000 17,000

### SPSS Statistics: Conduct tests of data for USA compared to Zimbabwe

See attached data files. Mosley Section One: Inspect the two datasets (USA is being compared with Zimbabwe) Select the appropriate analyses for the hypotheses below. Run descriptive statistics on the dataset. Discuss which descriptive statistics used and why. H1: There is a difference in income based on location

### ANOVA comparing average income at three levels of education

See attached data file. Question a: A random sample of 30 executives from companies with assets over \$1 million was selected and asked for their annual income and level of education. The ANOVA comparing the average income among three levels of education rejected the null hypothesis. The Mean Square Error (MSE) was 243.7. The

### Analysis of Variance table for three treatments

See attached data file. Given the following Analysis of Variance table for three treatments each with six observations. What are the degrees of freedom for the numerator and denominator? Choose the right answer: a. 3 and 18 b. 2 and 17 c. 3 and 15 d. 2 and 15

### What is the mean square for treatments

See attachment for data: Given the following Analysis of Variance table for three treatments each with six observations. What is the mean square for treatments? Choose the right answer: a. 71.2 b. 71.4 c. 558 d. 534

### Stats: Non parametric test / Anova

Question a: This nonparametric test requires at least ordinal level data. Its purpose is to find out if there is any difference between two sets of related observations and it is used if the assumptions required for the paired t test cannot be met. Which test is it? Choose the right answer: a. Students' t b. ANOVA c. R

### Statistics: Multiple regression equation and ANOVA

Please help with the following problem See attached data file. Question 7: If there are four independent variables in a multiple regression equation, there are also four Choose the right answer: a. Y-intercepts. b. regression coefficients. c. dependent variables. d. constant terms. Question 8: A manager at a lo

### Difference in days worked by employees in three departments

Problem 11.22-answer the Research Question using ANOVA. 11.22 The XYZ Corporation is interested in possible differences in days worked by salaried employees in three departments in the financial area. A survey of 23 randomly chosen employees reveals the data shown below. Because of the casual sampling methodology in this surv

### ANOVA and Regression Analysis

1. ANOVA: Please review EXCEL DATA tab and DATA NOTES. Three columns from that dataset are of interest to us now: total admissions, region and control. Admissions are the number of patients admitted in a year, region is the geographical location of the hospital (see tabulation below) and control is the type of ownership of th

### Complete a one-way ANOVA of the pathogen data

See attached files. Please explain what ANOVA is in layman's terms, and also give me a worked answer to the question. Use excel to complete a one-way ANOVA of the pathogen data supplied. Use this information to complete the tables below. Groups Count Sum Average Variance Campylobacter 18 Cryptosporidium 18

### Statistics questions 12, 16, 18, chapter 13

12. A researcher reports an F-ratio with df = 3, 36 from an independent-measures research study. a. How many treatment conditions were compared in the study? b. What was the total number of participants in the study? 16. A pharmaceutical company has developed a drug that is expected to reduce hunger. To test the drug,

### One ANOVA in Minitab

See attached data files. The objective is to justify, if possible, the combining of the assay data for each time point into one large data set for the assay. I would like to show that none of the assays selected from any time point show a significant difference, at the 95% leveli.e. the assay results are independent of time o