ANOVA Case Study Answers

We conduct an independent sample t-test using Excel, and obtain the following output (see t-test-height)

Following the second part of Ellis’s framework (2013), going onto the core research issues the introduction and background to the study does identify the need for research to be done, the purpose of the research can be identified. It states in the abstract that the aim of the study was to offer a thorough report of the experience people go thorough when they have to make a decision on placing a family member into a special care unit among a diverse sample of carers. To achieve maximum variation

A power analysis indicated the need for 40 subjects per group in order to provide 80% power so that it can well detect differences between the two groups. These differences were detected by using a

The single- subject design was used because the researcher paired the students to compare the students that received treatment in comparison to the students that did not receive treatment (Whitfield, 1999).

Single-subject design (p. 238) – using just one participate or very few participants to study the influence of a new procedure (2012, p. 238).

In this study, t= -3.15 describes the mental health variable. It is significant because they are the variables being tested since the p value is 0.002 and the alpha is 0.05, the difference can cause the null hypothesis to be rejected.

A researcher has designed a study to test the effects of different types of individual psycho-therapy on people's levels of anxiety. She has randomly placed people into one of three groups: a behavioral treatment group, a psycho-dynamic treatment group, or a no-treatment control group. She then measures people's level of anxiety after the treatment.

Single-subject design (p 238) only using one or a few participants for a study to see the influence on a new procedure or invention.

However, treatment four, 0.1296 (±0.608), represents that the mean was extraneous from what it should be (Table 1). The t-tests show how different the mean is in each treatment.

___IV. Practical Aspects - This book tells who the test is intended for and its standardized representative sample

In Analysis of variance (ANOVA) is a group of statistical sample used to resolve the differences between group means and their connected steps like variation between groups. The observed variance in a specific variable is divide into components attributable to various fountain of variation.

Describe the study’s procedure (a sentence each about IVs and DVs plus a paragraph or two about the design). (30 points)

The t score that represents the greatest relative difference between pretest and 3 months is t = 4.14. The results of the analyses indicate that this is a statistically significant result, with p < .05.

c. Estimate the value of Mercury using a discounted cash flow approach and Liedtke’s base case projections.

| Based on explicit knowledge and this can be easy and fast to capture and analyse.Results can be generalised to larger populationsCan be repeated – therefore good test re-test reliability and validityStatistical analyses and interpretation are