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Analysis of Variance

Analysis of Variance (ANOVA)..

1. Why are you no longer directly comparing sample means? 2. How does using the F test - the analysis of variance (ANOVA) reduce your Type I error rate? 3. What is the difference between a within-groups and a between-groups variance? 4. If F is significant, why should you follow up with a post hoc test? 5. Why don't you use

Statistics: Standardized/Studentized Residuals

Xi = 1 2 3 4 5 yi = 3 7 5 11 14 Use a computer package to calculate the standardized residual. What is the standardized residual for the third observation x=3 y=5 Use a computerized package to calculate the studentized deleted residual for the third observation x=3 y=5.

Statistics: seasonal index, forecast value, linear trend, expansion plans, ANOVA.

49) If a quarterly seasonal index is 0.66, it implies that A. the other three quarter percentages will total 34% B. the quarter's sales are 6% above the yearly average C. the quarter's sales are 66% of the year total sales D. the quarter's sales are 66% of the yearly average 50) Given the trend equation Y' = 24

Statistics: Regression models, correlation analysis, multicollinearity.

See attached Excel files. Calculations Looking for Single Regression Models Multiple Regression Model with ONLY statistically significant Coefficients Explanation of data collection, SOURCE of data, regression methodology and specific hypothesis tests F test, and T test (or p-value). Obtain a correlation matrix

Analysis Variation of Georgia coastal home prices; treatment sample size, critical value

23. A real estate agent in the coastal area of Georgia wants to compare the variation in the selling price of homes on the oceanfront with those one to three blocks from the ocean. A sample of 21 oceanfront homes sold within the last year revealed the standard deviation of the selling prices was \$45,600. A sample of 18 homes,

ANOVA

Time it took to drive to work Monday-10 Monday-15 Tuesday-10 Tuesday-10 Wednesday-15 Wednesday-10 Thursday-8 Thursday-15 Friday-10 Friday-10 1. Divide your data in half, your first 5 observations and your last 5 observations. Then use ANOVA to

Statistics Problems 2, 3, 4, 12.48, 12.50, 13.30, 13.32, 14.16

See attached file. Need step by step instructions of how to solve these problems: 2. The regression equation NetIncome = 2,277 + .0307 Revenue was fitted from a sample of 100 leading world companies (variables are in millions of dollars). (a) Interpret the slope. (b) Make a prediction of NetIncome when Revenue = 1,000.

ANOVA Table MSE

See the attached file for the full problem. Each response must include your calculations. In an ANOVA table MSE was equal to 10. Random samples of six were selected from each of four populations, where the sum of squares total was 250. Error = 10, n = 6, k = 4, N = 24, SST = 250 Complete the followi

ANOVA in SPSS.

See attached file for a ANOVA in Excel. Please copy the data to SPSS and generate the ANOVA in SPSS. Driving factors for perceived trust in buying online. The response of the respondents regarding the statements marked in red font is taken into account for the analysis. Specifically, the number of respondents, who opted f

Hypothesis testing; four types of scales to measure data

Explain the concepts involved in hypothesis testing, including what hypothesis testing is, and an explanation of the four types of scales used to measure data. Discuss where and how common tests of differences, such as t-tests, ANOVAs and Chi-squares, are used to test hypotheses. Include an example of where and how common

Anova Chart: Significant difference in age and level of professors at a university

A researcher wanted to invetigate whether there is a significant difference in the average age of instructors, assistant professors, assocated professors and full professors at a university. The faculty was selected at random and their ages were recorded. Use the collected data to complete the Anova chart given below. Instr

Lido Company's standard and actual costs per unit for the most recent period

1.Lido Company's standard and actual costs per unit for the most recent period, during which 400 units were actually produced, are given below: Remember, you need to compute these variances based on the 400 units which were actually produced. Required: From the foregoing information, compute the following variances.

Complete the table for degrees of freedom for treatments

Use the following information for questions 1-3 (three treatments and a total of 15 observations) This information is necessary to complete your table. Source of Variation Sum of Squares Degrees of Freedom Between Treatments 64 Within Treatments 96 1. The

Estimation and Analysis of Variance: Use ANOVA for real world situation

Bring to mind a real-world situation or problem that could be addressed using a one-way analysis of variance (ANOVA). You will not need SPSS to complete this Discussion question. For this situation or problem: Clearly identify the independent and dependent variables you would study, including the number of levels of the in

How would I put it in to a spreadsheet to test the data? An experiment is set up where we have an independent variable (IV). This is something that we would manipulate. We then observe the outcome of the manipulation, and see if there are any changes in behavior. This would be called the dependent variable (DV). We only

One-Way Independent Samples ANOVA for LLD Records

H0: mu1=mu2=mu3=mu4=mu5 H1: Not Equal Note, mu1, mu2, mu3 and mu4 denote the population means for the groups: On campus, By mail, By internet, By phone, In a store; respectively. The table below shows the data set and some computed values n Mean Var On Campus 27 66.4 153.7 By Mail 27 68 94.3 By Phone 27 64.7 87.5 By

SPSS Computation One Way ANOVA: three happiness groups

See attached file. SPSS Computation and Interpretation (One-way ANOVA): Use the gssnet.sav file to answer the following questions: in the General Social Survey people classified themselves as being very happy, pretty happy, or not too happy (Professor's Note: instead of using the variable 'happy', please use the variable '

One-way ANOVA F-test, & Chi-Square test examples

ANOVA (Analysis of Variance), One-way ANOVA F-test, & Chi-Square test Q1: What are some real life examples of the use of Chi-Square tests using contingency tables? Q2: Why is a test, which is testing significant differences among means called Analysis of Variance? Q3: Why might a non-parametric test be used, in plac

Calculation of Number of Treatment Conditions

A published report of a repeated-measures research study includes the following description of the statistical analysis. The results show significant differences among the treatment conditions. f(2,20)=6.10,p less than .01. A; How many treatment conditions were compared in the study? B: How many individuals participated in th

Two factor ANOVA: Degrees of Freedom

A researcher conducts an independent measures, two-factor study with two levels of factor A and four levels of factor B, using a sample of n=10 participants in each treatment condition. A. What are the df values for the f-ratio evaluating the main effect of factor A? B. What are the df values for the f-ratio evaluating the m

Hypothesis Tests: Z-Test for Mean, Z-Test for Proportion, ANOVA

Exercises 6 (Ch. 10) ,pg 344 - The MacBurger restaurant chain claims that the mean waiting time of customers is 3 minutes with a population standard deviation of 1 minute. The quality-assurance department found in a sample of 50 customers at the Warren Road MacBurger that the mean waiting time was 2.75 minutes. At the .05 signif

Using ANOVA for Managerial Decisions

Question 1- This week we are discussing two or more sample hypothesis testing. This includes knowing how to use an ANOVA for managerial decisions. Present a business example where you would use an ANOVA. State the hypothesis verbally and numerically. Question 2- Using the example provided in Question 1, explain your sample. H

ANOVA for bank survey of use by customers: teller, ATM or internet banking

A bank conducts a survey in which it randomly samples 400 of its customers. The survey asks the customers which way they use the bank the most (1) interacting with a teller at the bank, (2) using ATM's, or (3) using the bank's Internet banking service. It also asks their level of satisfaction with the service they most often u

ANOVA table: How many treatments; total sample size, critical value, hypotheses

The following is a partial ANOVA table. Source............Sum of Squares........df........Mean Square.........F Treatment..................A.....................2.................A....................A Error..........................A.....................A.................20..................A Total........................

Use ANOVA to determine significant differences among treatments

The following data were obtained from an independent measures research study comparing three treatment conditions. Use an ANOVA with alpha=.05 to determine whether there are any significant mean differences among the treatments. Treatment 1 11 111 N=14 2 5 7

ANOVA Analysis: Pharmaceuticals

A pharmaceutical company has developed a drug that is expected to reduce hunger. To test the drug, three samples of rats are selected with n=10 in each sample. The first sample receives the drug everyday. The second sample is given the drug once a week, and the third sample receives no drug at all. The dependent variable is the

ANOVA and Significance Level

1. A real estate agent in the coastal area of Georgia wants to compare the variation in the selling price of homes on the oceanfront with those one to three blocks from the ocean sample of 21 oceanfront homes sold within the last year revealed the standard deviation of the selling prices was \$45,600. A sample of 18 homes, also

ANOVA for real estate data.

See attached data file. One Sample Hypothesis Testing Paper - Real Estate Describe the results of a hypothesis test of one population mean or population proportion. Team B Bank wants to open a branch in one of the townships based on best price per square footage. They want a test run to see where their best option is.

One way & Two way ANOVA

1. Two aptitude tests are currently being used to screen applicants for a certain position within a company. The question arose as to whether the two tests are comparable, i.e., whether they yield the same results. Six applicants were selected at random to take both tests (in a random order). The following scores were recorded:

I need help with filling out the Anova table

We have two drugs for the control of depression. Both are effective. However, we want to determine whether the motor-perceptual coordination of subjects under the effects of these drugs is not significantly affected. The researcher selects a sample of 30 participants and divides it randomly into three groups: one