A data set containing observations about the "annual wages in a given firm" is:

A small manufacturing company has 4 workers, each with a different hourly wage. They are:

1. Worker A: $20 per hour
2. Worker B: $25 per hour
3. Worker C: $30 per hour
4. Worker D: $35 per hour

The company decides to hire a 5th worker to help during the busy season, and this new worker is paid $10 per hour. How hiring the 5th worker will affect the mean and the median of their hourly wages?

Consider the histogram depicted below:

In a nationally representative large-scale sample of undergraduate business students was collected data on age, gender, mother's and father's education,  grade in statistics and statistics class attendance (variable equal to 1 if they attended more than 50% of the classes and equal to 0 otherwise).

Students with a higher class attendance had, on average, a higher grade than those with a lower class attendance.

Select the correct option below.

SmartLearn notices that ticket arrivals tend to cluster and arrive close together in time. How might this violate the assumption(s) of the statistical model(s) used in the previous questions? What kind of real-world process might explain such behavior?

Consider the Quantile-Quantile (QQ) plot below for the variable `avg_user_rating`.

What  does the QQ plot represent? Does it support the use of the normal distribution for modelling `avg_user_rating`? Explain.