Anova problems - still after many weeks I am not getting it. --- (See attached file for full problem description)
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Please help me to understand how an ANOVA is conducted using the information from the hypothesis below and how this is calculated in Excel: The Economic Policy Institute has the statistics on the number of vacation days for employees in the United States which are about 16 vacation days a year, with France at 30 and Japan with
Based on the attached research on job satisfaction Using the two pairs of hypotheses How do I test them using ANOVA? Job Satisfaction Group Project - QMB350 - SMcGann.doc (See attached file for full problem description)
I need assistance testing these hypotheses using Anova (Single Factor) in Excel. I need to show what is returned( F-statistic, F critical, and a P-value.) I then need to use these values to reject or accept H0. I have done this in Excel, but need help making sure my figures are right and determining if I accept or reject HO.
In a particular market there are three commercial television stations, each with its own evening news program from 6:00 to 6:30pm. According to a report in this morning's local newspaper, a random sample of 150 viewers last night revealed 53 watched the news on channel 5, 64 watched the news on channel 11, and 33 watched channel
The manager of a computer software company wishes to study the number of hours top executives spend at their computer terminals by type of industry. The manager selected a sample of five executives from each of the three industries. At the .05 significance level, can she conclude there is a difference in the mean number of hours
In unit 4 the topic of job satisfaction was researched. Provide one page summary of your findings. Are your findings consistent with what you observed when you tested your hypothesis in unit 4? (Unit 4 -research topic on job satisfaction. Choose two sets of hypothesis and test the hypothe sis using ANOVA) similate your own data
Choose two sets of hypotheses from the possible 6 sets (two sets from each member makes 6 sets in a team of 3) and test the hypotheses using ANOVA. Please clearly state if the data you are using in your analysis was obtained from the research or if they are 'assumed' data.
Statistics : Hypothesis Testing, Significance Levels, ANOVA, Tukey-Kramer, Wilcoxon Rank Sums Test and Kruskal-Wallis Rank Test
1. Which of the following components in an ANOVA table are not additive? a. Sum of squares b. Degrees of freedom c. Mean squares d. It is not possible to tell 2. Why would you use the Tukey-Kramer procedure? a. To test for normality b. To test for homogeneity of variance c. To test independence of errors d. To te
22. The following sample data were obtained from three populations where the variances were not equal, and you wish to compare the populations. Sample 1 Sample 2 Sample 3 21 15 38 29 17 40 35 22 44 45 27 51 56 31 53 71 a. State the null hypothesis. b. Using t
In an advertisement in a local newspaper, Best Food supermarket attempted to convince consumers that it offered them the lowest total food bill. To do this, Best Food presented the following comparison of the prices of 60 grocery items purchased at three supermarkets-Best Food, Public, and Cash'N Carry-on a single day (*see atta
Scenario: Five individual groups G1 = mean 11.6, variance 9.6, n 10 G2 = mean 13.6, variance 9.6 n 10 G3 = mean 16.6, variance 11.6. n 10 G4 = mean 15.6. variance 13.6, n 10 G5 = mean 18.2, variance 10.4. n 10 Source of variation Sum of Squares Degrees of Freedom Mean Square F Treatments
Scenario: Independant variable = Sugar DV= weight gain # subjects 50 random assignment into 5 groups, with varying amounts of sugar from 0 to 100gms. Groups 1- 4 have unlimited access to IV, group #5 is limited to one "dose". At the end of the week subjects are weighed.
1. Please define the following terms. Tell me how the term is used in statistics and provide an example to demonstrate your knowledge. Pasting a definition from the web or from the text will result in a zero for the final. 1.1 population proportion 1.2 type I error 1.3 p-value 1.4 ANOVA 2. The mean annual turnover rate
12. Given the following sample information, test the hypothesis that the treatment means are equal at the .05 significance level. Treatment 1 Treatment 2 Treatment 3 3 9 6 2 6 3 5 5 5 1 6 5 3 8 5 1 5 4 4 1 7 5 6 4 a. State the null hypothesis and the alt
Analysis of Variance Source DF SS MS F P Factor 2 68.19 34.09 8.98 0.001 Error 33 125.31 3.80 Total 35 193.50 Find the critical value for a 0.05 significance level. Please show your work. (See attachment for table)
Please provide some insight about this experiment I'm doing concerning goldfish growth. Basically, I've gathered all my data, and now I'm trying to figure out a way to analyze it. The experiment was basically trying to see if water volume has a direct effect on goldfish growth. I used different volumes and allowed the fish to st
Analyze Data: independent measures design ANOVA; repeated-measures design: Four separate experiments investigated the effect of three postulated amnestic agents on memory for a simple rote learning task. Analyze your data set with an independent measures design ANOVA. Analyze the data sets you were assigned again, but this time treat it as data from a repeated-measures design.
4 Four separate experiments investigated the effect of three postulated amnestic agents on memory for a simple rote learning task. The task consisted of the learning of a list of 80 monosyllabic words presented to the subject at the rate of 1 per second, via a tachistoscope. The list was presented 10 times. At the end of the fin
BUSINESS STATISTICS-Multiple choice questions on one-way ANOVA , two-way ANOVA, Kruskal-Wallis Rank Test for Differences, contingency table,
1. The F test statistic in a one-way ANOVA is a. MSW/MSA. b. SSW/SSA. c. MSA/MSW. d. SSA/SSW 2. In a two-way ANOVA the degrees of freedom for the interaction term is a. (r - 1)(c - 1). b. rc(n - 1). c. (r - 1). d. rcn + 1. 3. The Kruskal-Wallis Rank Test for Differences in more than two medians is a nonparametric a
Hello. Could you show me how to solve the attached problem. It's long, but it's still a basic statistics HW problem. The problem asks 3 questions: a) build a 95% confidence interval b) construct an ANOVA c) which pairs are different? Thanks for any assistance you can give.
1) An agronomist wants to compare the crop yield of three varieties of chickpea seeds. She plants 15 fields, five with each variety. She then measures the crop yield in bushels per acre. The results are presented in the table (see attachment). Use the following computer printout to test for the equality of mean crop yields of
A clinical researcher is interested in testing the effectiveness of an anti-depressant drug. She randomly assigned 10 depressed people to a placebo condition, additional 10 depressed people to the drug condition, and additional 10 depressed people to the double-dosage condition. Prior to the experiment, all 30 people had equival
From your research develop two pairs of hypotheses. Choose one of them and test it using ANOVA. Employers have discovered when employees are given a choice of working the same, fewer, or more hours at the same rate of pay, most would prefer to work the same number of hours. An additional one-fourth of the employees would p
Find an article on job satisfaction and answer the questions below: 1. Provide a 1 page write up of the research highlighting where statistics is being used and why it's used. 3. Based on the research, set up two sets of hypotheses (one null & one alternative makes one set) that can be tested using ANOVAs. You do not have t
How do I figure this problem out using the population means? The manager of a computer software company wishes to study the number of hours top executives spend at their computer terminals by type of industry. The manager selected a sample of five executives from each of three industries. At the .05 significance level, can sh
Tested several designs of "paper helicopters" for flight times when dropped from a point approximately 8 feet above the ground. Four different helicopters were made and tested for each design. Some summary statistics for the tests on four particular designs are given next. Design 1- n1=4, y(bar)1=1.640, s1=.096 Design 2- n2=
METHODOLOGY Sampling area consisted of an area of 120m x 50m within site two and was bordered by a road on one side and a stream on another. Approximately 25% of our study area was sampled. Sampling equipment: 30m tape measure, compass, poles used to mark out sampling blocks. Six samples were taken using random numbers in the fo
Table 9-37 gives the number of miles to a gallon obtained by similar auto mobiles using 5 different brands of gasoline. Test at the (a) 0.05 (b) 0.01 level of significance whether there is any significant difference in brands. (See attachment for table and other question)
A company wishes to test 4 different types of tires, A, B, C, D. The lifetimes of the tires, as determined from their treads, are given (in thousands of miles) in the Table (*see attached), where each type has been tried on 6 similar automobiles assigned at random to tires. Test at the (a) 0.05, (b) 0.01 levels whether there is
The manager of a computer software company wishes to study the number of hours top executives spend at their computer terminals by type of industry. The manager selected a sample of five executives from each of three industries. At the .05 significance level, can she conclude there is a difference in the mean number of hours spe