Read the following scenario.

A software development company specializing in mobile apps is faced with a growing number of complaints because of the large number of bugs in the latest release. According to the quality$-$control managers, the bugs result from coding errors. After a thorough examination of the underlying cause, it becomes clear that errors are being made because most software coders work in an environment where they are easily distracted. Given that evidence from the research literature confirms that even fairly simple distractions tend to increase mistakes eightfold, the company's director decides to take measures to reduce workplace distractions, such as introducing no$-$interruptions zones. To determine if this decision would indeed reduce the number of coding errors, a pilot is conducted.

What would a quasi$-$experimental assessment of the pilot$$s outcome look like?

Take a random sample of the company$$s software coding teams and assign them to an intervention group $($new workplace with no distractions$)$ and a control group $($current workplace with the usual distractions$),$ and determine whether the number of coding errors is lower in the intervention group.

Measure the number of coding errors two weeks before the start of the pilot and two weeks after the end, and determine whether there is a difference.

Take a random sample of the company$$s software coding teams and assign them to an intervention group $($new workplace with no distractions$)$ and a control group $($current workplace with the usual distractions$),$ then measure the number of coding errors two weeks before the start of the pilot and two weeks after the end and determine whether there is a difference.

Take a random sample of the company$$s software coders and randomly assign them to an intervention group $($new workplace with no distractions$)$ and a control group $($current workplace with the usual distractions$),$ and determine whether the number of coding errors is lower in the intervention group.