A- Imagine you were a job candidate trying to pitch your skills to a potential employer. Would you be more likely to get the job after giving a short speech describing your skills, or after writing a short speech and having a potential employer read those words? That was the question raised by Schroeder and Epley (2015). The authors predicted that a person's speech (i.e., vocal tone, cadence, and pitch) communicates information about their intellect better than their written words (even if they are the same words as in the speech). To examine this possibility, the authors randomly assigned 39 professional recruiters for Fortune 500 companies to one of two conditions. In the audio condition, participants listened to audio recordings of a job candidate's spoken job pitch. In the transcript condition, participants read a transcription of the job candidate's pitch. After hearing or reading the pitch, the participants rated the job candidates on three dimensions: intelligence, competence, and thoughtfulness. These ratings were then averaged to make a single measure of the job candidate's intellect, with higher scores indicating the recruiters rated the candidates as higher in intellect.

1. WHAT IS THE INDEPENDENT VARIABLE?

2. WHAT ARE THE LEVELS?

3. WHAT TYPE OF DESIGN IS THIS?

4. WHAT STATISTICAL ANALYSIS SHOULD BE USED?

5. Make the results IN APA

B- In the sample dataset, the variableSprint is the respondent's time (in seconds) to sprint a given distance, andSmoking is an indicator about whether or not the respondent smokes (0 = Nonsmoker, 1 = Past smoker, 2 = Current smoker). A one-way ANOVA was used to see if there's a statistically significant difference in sprint time with respect to smoking status. Below is the data.

1. WHAT IS THE INDEPENDENT VARIABLE?

2. WHAT ARE THE LEVELS?

3. WHAT TYPE OF DESIGN IS THIS?

4. WHAT STATISTICAL ANALYSIS SHOULD BE USED?

5. Make the results in APA.