Are women more delighted in receiving job promotions than men?

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High School ・Statistics ・APA ・1 Sources

Unit 8
Question One

Are women more delighted in getting work promotions than men?
Question Two
Due to its simple interpretation a t-test would be acceptable to the study issue. It shows the difference between samples under analysis and is therefore important to predict the size differences in populations with similar mean values (Lakens, 2013). Similarly, T-test encourages data collection as only one figure from each individual subject is needed to satisfy the validity of the test.
Question Three
The autonomous t-test is used to detect whether the satisfaction of being awarded jobs between men and women varies. The male and females serve as independent variables while as delightedness in receipt of a job promotion is the dependent variable. Nominal scale of measurement is appropriate due to the independence of the variables. The range solely fulfills the identity aspects of the quantity, and it assigns the variables a descriptive classification. However, the variables are not applicable in offering the arithmetic amount.
Question Four
The expected outcome is to observe a statistical difference between the two groups. The study split the independent variables into two groups with group 1 representing men while as group 2 representing women. Gender equity and feminism have been vibrant topics in the recent history. The modern woman feels motivated in taking societal roles. Therefore, women delighted in receiving job promotions are expected to display a higher mean score than men in a similar collection.
Unit 9
Question One

Which is the leading causal factor in the level of obesity? Is it fast foods, serenity, or both fast foods and serenity combined?
Question Two
The study has more than two unrelated independent variables, and therefore one-way ANOVA would be appropriate in determining the mean of the dependent variable.
Question Three
The dependent variable is “level of obesity” while the independent variable is “leading causal factor of obesity,” which has three collections: “fast foods,” “physical dormancy,” “fast foods and physical dormancy.” The study exhibits independence of observations since there exists no affiliation between the indicators in the individual collection or amongst the entire collections. The dependent variable is a ratio variable, and an interval scale of measurement best fits its analysis (Lakens, 2013). The scale presents a vibrant outline of the difference between the variable sizes.
Question Four
The projected outcome is that the level of obesity roughly spreads in the three independent variables. The study expects a combination of fast foods and stillness to be the key determinant of the degree of obesity.

References

Lakens, D. (2013). Calculating and reporting effect sizes to facilitate cumulative science: a practical primer for t-tests and ANOVAs. Frontiers in psychology, 4.

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