## The Bureau of Labor Statistics collects data on earnings of workers in the US classified according to various characteristics.

### psychology

##### Description

Analysis 1: The Bureau of Labor Statistics collects data on earnings of workers in the US classified according to various characteristics. This data contains the weekly earnings in dollars of 30 men and 30 women in two age groups (16-19, 20-24) who were working full-time in the first quarter of 2013.

Perform an Analysis of Variance (ANOVA) on this data set to determine if age and gender affect earnings.

a.      Results (in proper statistical reporting format; ie F=xx.xx, MSE=xx.xx, p=.xxx)

Main effect(age)

Main effect(gender) Interaction effect

(age*gender)

b.      In one short, succinct paragraph, briefly state your findings. What is the pattern you see here? What is the optimal combination of age and gender (in other words, who tends to make the most money?)

c.      Create a table containing the means of all conditions.

Fill in the graphs below to represent:

a.    The pattern you observed in your data analysis.

b.    A possible pattern reflecting no main effect of age, a main effect of gender wherein females earned less than males, and no interaction effect.

Analysis 2: A company that manufactures blenders wants to compare three different factory lighting conditions for its employees. Each of the individuals’ shifts is 8 hours long, and can be arranged as one 8-hour block of work or two 4-hour blocks with a break in between. 30 employees are chosen as the participants for this study. Half of the individuals are asked to work for an 8-hour block, while the other half works for two 4-hour blocks with a break. All individuals in each condition are subject to 3 different lighting conditions over the course of three days (Day 1=Simulated Sunlight, Day 2= Fluorescent Light, and Day 3 = Incandescent Light). On each day, each individual’s average length of time taken to assemble exactly one blender is measured (minutes). Perform an Analysis of Variance (ANOVA) to determine the effect of shift-type and lighting condition.

a.        Results (in proper statistical reporting format; ie F=xx.xx, MSE=xx.xx, p=.xxx)

Main effect(shift type)

Main effect(lighting)

Interaction effect (shift type*lighting)

b.        In one short, succinct paragraph, briefly state your findings. What is the pattern you see here? What is the optimal combination of shift-type and lighting? (in other words, which condition results in the quickest assembly time?)

c.        Create a table containing the means of all conditions.

Fill in the graphs below to represent:

a.    The pattern you observed in your data analysis.

b.    A possible pattern reflecting no main effect of shift type; a main effect of lighting wherein the sunlight condition was better than both fluorescent and incandescent light (which were not different from one another) and no interaction effect.

Analysis 3: To measure the effect of both exercise and alcohol intake on blood sugar, a researcher asks 15 participants to record their blood sugar levels at the end of a week during which they had not consumed any alcohol. Each participant then recorded their blood sugar at the end of the following week, during which they consumed one serving of alcohol each day. The same procedure was followed for the next two weeks, except participants were required to exercise each day for exactly one hour. Perform an Analysis of Variance to determine whether there is an effect of exercise and alcohol intake on blood sugar (measured in millimoles/liter).

a.      Results (in proper statistical reporting format; ie F=xx.xx, MSE=xx.xx, p=.xxx)

Main effect(alcohol)

Main effect(exercise) Interaction effect

(alcohol*exercise)

b.      In one short, succinct paragraph, briefly state your findings. What is the pattern you see here? What is the optimal combination of exercise level and alcohol consumption? (in other words, which condition results in the lowest blood sugar?)

c.       Create a table containing the means of all conditions.

Fill in the graphs below to represent:

a.    The pattern you observed in your data analysis.

b.    A possible pattern reflecting an interaction wherein there is no effect of exercise for the alcohol group, and an effect of exercise (with exercise leading to lower blood sugar than no exercise) for only the no alcohol group.

## Related Questions in psychology category

##### Disclaimer
The ready solutions purchased from Library are already used solutions. Please do not submit them directly as it may lead to plagiarism. Once paid, the solution file download link will be sent to your provided email. Please either use them for learning purpose or re-write them in your own language. In case if you haven't get the email, do let us know via chat support.