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# Analysis of Variance

### ANOVA TESTING

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 sp

### Two-way analysis of variance (ANOVA) to study the effect of two sales pitches

An experiment is conducted to study the effects of two sales approaches-high-pressure (H) and low-pressure (L)-and to study the effects of two sales pitches (1 and 2) on the weekly sales of a product. The data in Table 10.14 are obtained by using a completely randomized design, and Figure 10.13 gives the Excel output of a two-wa

### Analyze the data with the parametric one-way ANOVA,

This is what the professor wanted from my university per verbatem: 1. READ Chapter 20 in the Howell textbook. 2. If necessary, review Chapter 16. 3. Using appndixd.xxx, GPA as the DV, and Dropout as the IV (grouping variable)? a.You may need to convert Dropout to numerical data, b.Analyze the data with the parametric on

### ANOVA for single-factor experiment

Johnson's Service Center has devised three potential options available to preferred customers who redeem coupons and buy at least 10 gallons of fuel when they stop in. Option A is a flat 3 cents off each gallon. Option B is a combination of 2 cents off plus another \$1 discount on the regular price of a \$5 deluxe car wash. Option

### Treatments and F

Several employees have submitted different methods of assembling a subassembly. Sample data for each method are: (see attachment for details) I need to know the number of treatments and F distribution for the attached.

### Two-way analysis of variance (ANOVA) with replication

An experiment is conducted to study the effects of two sales approaches-high-pressure (H) and low-pressure (L)-and to study the effects of two sales pitches (1 and 2) on the weekly sales of a product. The data in Table (1) below are obtained by using a completely randomized design, and Figure (2) gives the Excel output of a two

### Price/Earnings Ratio, Gross Profit Margin

A sample of 15 companies taken from the Stock Investor Pro database was used to obtain the following data on the price/earnings (P/E) ratio and the gross profit margin for each company (See attachment for sample). a. Determine the estimated regression equation that can be used to predict the price/earnings ratio given the

### Analysis of a Factorial ANOVA in Excel

Using the attached EXCEL file, complete a factorial ANOVA. You may need to reclassify the DV as numeric. You may want to make sure that your output includes cell means (to help interpret any interactions).

### Pretest

Question 1 (5 points) A review of voter registration records in a small town yielded the following table of the number of males and females registered as Democrat, Republican, or some other affiliation. Male Female Democrat 300 600 Republican 500 300 Other 200 100 What proportion of registered

### Hypothesis testing using ANOVA, Chi Square

10. 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 ho

### use an ANOVA test to determine if advertising has an affect on consumers

Please see the attached file for full problem description. --- Jointsoft is a great over-the-counter arthritis medication, but who will ever know about it? Unfortunately, many people with arthritis tend to be elderly and rather immobile, so advertisers of arthritis medications face limitations in ways to get their messages

### Clinical Study Null and Alternative Hypothesis

Attached is the actual problem and the chart needed to answer the questions. Below are the questions to be answered. Please show work I am trying to learn to work this type of problem for a test on Thursday. A. What is the experimental design? B. State the null and alternative hypothesis C. Calculate the correction fa

### Calculating a 4-Way ANOVA by Hand

Please see attachment. I really need to be able to follow this through every step by hand. This is the only reference I am allowed and I cannot use a computer during exams. I was told this was called a 4 way ANOVA. It was only taught in lecture and we were given this example to work on. Here is a list of what I need: 1) A

### This solution shows how to use SAS to analyze a two factor factorial experiment. Two analyses were completed. The first analysis assumed a fixed ANOVA model and the second assumed a mixed ANOVA model.

In the construction of a projective test, 40 more or less ambiguous pictures of two or more human figures were used. In each picture, the sex of at least one of the figures was only vaguely suggested. In a study of the influence of the introduction of extra cues into the pictures, one set of 40 was retouched so that the vague fi

### ANOVA DILEMMA DIFFERENCES

Subject: ANOVA DILLEMA Details: I need to perform anova on the results for my experiment. Subjects had to rate ten average photos (control) then were split into two groups and experienced influence by both male and female confederates attempting to both positively and negatively affect the initial ratings how do I do this ie w

### Hypothesis testing using ANOVA ..

Three different brands of all season radial tires were tested for wear characteristics. For each brand, 4 tires were selected and subjected to a standard wear test. The distance (thousands of kilometers) achieved by these tires is provided in the table below. Brand 1 Brand 2 Brand 3 91 99 83 100 96 88 88 94 89 89 99 76

### Measurement Types for Nominal and Ratios

Subject: Does there HAVE to be a certain type of measurement ie ratio, Details: nominal and ratio, just ratio in order to perform Pearson's r and ANOVA (SINGLE VARIABLE) Thanks

### Test of hypothesis using ANOVA

A dietician attached to a consumer advocate agency is asked to test three popular diet pills for efficiency. Twenty-one people were randomly assigned to the three different diet pills. Records of how much weight these people lost in a month are tabulated below. Pill 1 Pill 2 Pill 3 14 11 24 18 12 31 20 10 17 12 20

### One-way analysis of variance (ANOVA), first with a fixed effects model, then with a random effects model. The tool for the analysis was SAS.

An experimenter wants to determine which of four seat-belt designs provide the best protection from a head-on collision. Simulated accidents are performed by four manufactures. The observations are a composite index of passenger injury. For alpha= 0.15, test for significant difference in design. Design 1: 37, 42, 45, 49, 50,

### Using ANOVA for Three Treatments

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 8 3 3 11 2 4 10 1 5 3 4 2 (See the table in the attached file) a. State the null hypothesis and the alternate hypothesis. b. What is the decision rule?

### Hypothesis Testing using ANOVA

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

### Problem set

1. A manufacturer of top-of the line tennis rackets claims that its Smack Me tennis racket will change a player's game. Tennis pro currently serves the ball at an average speed at 115 mph with a standard deviation of 2.5 mph. The speeds are normally distributed. The tennis pro decides to test the company's claim and records the

### Analysis of Variance (ANOVA)/2507

I HAVE ATTACHED THE FILES.

### 2422- ANOVA

Details: in an effort to determine the most effective way to teach safety principles to a group of employees at Acme inc, four different methods were tried. A sample of 21 employees was randomly assigned to one of 4 groups. The first group was given programmed instruction booklets and worked through the course at their own pace.

### Optimization?

There are three manufacturing plants on the Schultz River: 1, 2, and 3. Each factory emits two types of pollutants, P1 and P2, into the river. If the waste from each factory is processed, the pollution in the river can be reduced. It costs \$15 to process one ton of Factory 1 waste, and each ton processed reduces the amount o

### ANOVA

To help the owner decide which of your two current suppliers deserves the larger contract next year, you have rated a random sample of plastic cases from each one. The data are a composite measure of quality (durability, finish detail, and plastic density), with higher numbers indicating higher quality (See data in file). Ar

### Statistical analysis of the crime rates in three cities in the United States.

A study of crime rates was recently taken in three cities in the United States. Neighborhoods of size 1000 were randomly sampled from three different cities (populations): New York, LA, and Washington. The number of crimes occurred in the last five years in each neighborhood were recorded. The average annual income in each neigh

### Experimental design & ANOVA

Is there any difference in the average accuracy level after differing amounts of computer intensive work? b). Is there any difference in the average accuracy level to complete the task for the right hand versus the left hand? c). Is there a significant interaction effect? d). What is your recommendation to this manager?

### Experimental Design - ANOVA

A. What is the response variable and what is the factor? b. How many levels of the factor are being studied? c. Is there any difference in the average amount of fluid the diaper can hold using the 3 different filler materials? Is so, which ones are different? d. What is your recommendation to the company and why? a. Set up

### Anova and confidence intervals

Using the confidence intervals: 95% Determine which groups differ in average shelf life. A B C D 94 88 76 82 100 89 69 80 90 88 76 82 97 83 79 78 101 79 80 89 90 82 72 80 give test statistic, hypothesis, decision