Enable contrast version

# Tutor profile: Terrance C.

Inactive
Terrance C.
STEM Tutor (7 years) and College Counselor (3 years)
Tutor Satisfaction Guarantee

## Questions

### Subject:Chemistry

TutorMe
Question:

Assess the accuracy of the following statement: An atom of Hydrogen-1 undergoes alpha decay.

Inactive
Terrance C.

TutorMe
Question:

A common question that appears on many applications or essay prompts is "Why do you want to apply to ________?" What can you do to construct a strong response to this question?

Inactive
Terrance C.

### Subject:Statistics

TutorMe
Question:

The marketing team for the game Fortnite conclude that number of golf carts appearing per game is related to player satisfaction and want to find the evidence using linear regression for 20 players. The independent variable X is the number of golf carts and the dependent variable Y is player satisfaction (on a percentage scale). Here are their following results... Y = 0.5X + 30 Coefficient of variation: 0.95 QUESTION: Provide a formal statistical analysis of the experimental results. BONUS: What is one criticism you might have for the team's statistical experiment?

Inactive
Terrance C.

ANSWER: Remember that linear regression equations follow the format Y = AX + B With A, the slope, representing the rate of change in Y relative to X and B, the y-intercept, representing a set amount of Y if X = 0. Therefore, this is what we should say... A slope of 0.5 suggests that for each golf cart added to the game, the player satisfaction increases by 0.5%. The y-intercept suggests that if there were no golf carts in the game, player satisfaction would be 30%. (Notice how I say suggests instead of concludes because this sample may not be a true representation of every single Fortnite player!) Furthermore, the coefficient of variation suggests that 95% of variation in player satisfaction can be explained by the amount of golf carts per game. BONUS: There are many things wrong with this experiment. I will point out two often incorrect assumptions. One is that the marketing team has made a conclusion BEFORE they found any evidence; a professional statistician will never make any solid conclusions unless they have equally strong evidence! Also, they are assuming that the relationship between the number of golf carts and player satisfaction is linear, which could cause them to miss some viable evidence. Don't forget that many other statistical relationships exist! (ex. exponential, logistic, etc.). For example, the data points may actually appear as an upside down parabola, showing that having too many golf carts will start decreasing player satisfaction! What else do you think could be improved in this experiment?

## Contact tutor

Send a message explaining your
needs and Terrance will reply soon.
ContactÂ Terrance