Which statistical test do I use to find out: "Do the socioeconomic groups differ on life satisfaction, health, perceived control, mobility, self esteem, and social interaction? Which group/s differ from the others? " I am doing analysis on survey data in SPSS file.
Chapter 11 24.The liquid chlorine added to swimming pools to combat algae has a relatively short shelf life before it loses its effectiveness. Records indicate that the mean shelf life of a 5-gallon jug of chlorine is 2,160 hours (90 days). As an experiment, Holdlonger was added to the chlorine to find whether it would increa
Here are the questions I need help with. I attached the 2 excel files (File: InvRisk and File: Invest) that go with each statistics problems below. There are 2 statistics problems. The statistics text I'm using is: Statistics for Business and Economics, 9e by Anderson Sweeney Williams. The accounting text I use is: Understa
The manager of a computer software company wishes to study the number of hours senior executives spend at their desktop computers 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 s
What statistical method is used to accept or reject the null hypothesis in determining if outsourcing is always beneficial? Please explain your reasons for choosing the selected method in detail and cite references (if any). Also, explain the variables for which data will be collected. For each variable, identify the level
I have collected data for my pschology experiment and I am uncertain which analysis test to run. Although they will all be a challenge since this is my first year of University and we haven't done much stats work yet. Participants were shown an image and asked to choose what they thought the people in the picture were likely
A car dealership wants to study the relationship between the age of a car and the selling price. Below is a sample of 12 cars: Car Age(years) Selling Price ($000) 1 9 8.1 2 7 6 3 11 3.6 4 12 4 5 8 5 6 7 10 7 8
5) Suppose the following table shows the number of colds 7 different people got during the typical cold season based on the number of times they washed they washed their hands per day during the cold season. Calculate the correlation coefficient and interpret its meaning as applied to this problem. In addition, using a hypothe
A physician who specializes in weight control has three different diets she recommends. As an experiment, she randomly selected 15 patients and then assigned 5 to each diet. After three weeks the following weight losses, in pounds, were noted. At the 0.05 significance level, can she conclude that there is a difference in the mea
A. The number of shares of Icom, Inc. turned over during a month, and the price at the end of the month are listed in the following table. Also given are the estimated Y' values. Turnover (thousands of shares) X Y(actual price) Y'(estimated price) 4 $2
Refer to the Realestate data which reports information on the homes sold in the Venice, Florida, are last year. At the .05 significance level, is there a difference in the mean selling price of the homes among the five township? X1 = SELLING PRICE IN $0.00 X2 = # OF BEDROOMS X3 = SIZE OF THE HOME IN SQ FT X4 = POOL (1 Y
Please view the attachment which more clearly defines my problem. --- Choose two sets of hypothesis using ANOVA you can simulate your own data (n=20) Sample size =288. Ho=u2=u3 where u means population. H1:u1#u2#u3. where u means population. I am trying to figure out how to do this problem. Test two sets of hypothesis
(See attached file for full problem description with proper symbols and diagrams) --- 2. What is the critical F value for a sample of four observations in the numerator and seven in the denominator? Use a one-tailed test and the .01 significance level. 3. The following hypotheses are given. A random sample of eight
Here are some questions that I am asking in general to using ANOVA testing. 1) What are three lessons learned relative ANOVA and Nonparametric tests? 2) What concepts and analytic tools will you be able to use in your workplace ?
You are a training manager for a manufacturing firm and have three new training programs to assess. You assign, at random, equal numbers of employees to each of the training programs in order to determine which program is most efficient. How might you go about analyzing the results? I am trying to decide which test to use?
Between 1981 and 1991, water use in Canada increased for some purposes and decreased for others. The following table provides a summary. Water consumption(millions of m cubed) category of use 1981 1986 1991
Given the following sample information, test the hypothesis that the treatment means are equal at the .05 significance level. a. State the null hypothesis and the alternative hypothesis. b. What is the decision rule? c. Compute SST, SSE, and SS total. d. Complete an ANOVA table. e. State your decision regarding the null h
This is the assignment it is a group assignment. Each team member will provide research on Job Satisfaction. Again, use the Business Source Elite Database in the Cybrary and write up a short 1 page report on the topic. Each team member should use different sources. Each team member is to do the following: 1. Research th
When we want to test two samples to determine if it is likely that the population means (estimated by the sample means) are different, we typically use a t-test. If the samples are large, we can also use a z-test. (Note that the formulas for computing s, t and/or z in the case of a two-sample test are different than the formula
Perform two ANOVAs using the attached files. The first data set, the tab labeled "Vaccines", is the percent of infants who are vaccinated against certain diseases. The states are grouped by regions (there are 9 regions altogether). Test whether the vaccination rates are the same in all 9 regions. The second data set, the t
Anova problems - still after many weeks I am not getting it. --- (See attached file for full problem description)
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 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
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.