Last year's score, printed on the form, explains a team lead's ratings better than her written reasons do, concludes this MT302 Unit 7 decision bias case. Searches like "mt 302 unit 7 assignment example", "mt302 unit 7 sample" and "mt302 unit 7 example" land here.
What a finished MT302 Unit 7 decision bias case looks like
A short case section opens the paper and describes the decision: year-end ratings on a five-point scale for seven coordinators and examiners, each form carrying three written reasons and, pre-filled at the top, the previous year's rating. A table sets out, for each person, last year's rating, this year's rating, the change in audited error rate and the change in files handled. Six ratings moved by 0.2 or less. The coordinator whose error rate halved rose only from 2.8 to 3.0, and the examiner whose error rate doubled stayed at 4.1. A reasons section tests each written justification against the figures. The bias section applies Tversky and Kahneman's anchoring-and-adjustment account and weighs two rivals, recency and leniency. A redesign closes the paper: rate blind first, then view the prior score.
How a MT302 Unit 7 example is structured
Decision and explanations are kept separate, and each explanation is tested in turn, which is what makes the bias finding credible rather than assumed. Stated reasons get a fair hearing first. A reason citing accuracy is checked against error rates, one citing volume against files handled, and most turn out to describe the person generally rather than the year. Anchoring then enters as a rival explanation with a specific prediction, ratings clustered near the prior score with too little adjustment, and the table confirms it. Recency bias is considered and rejected, since the ratings do not track the final quarter; leniency is considered and found partly true. Because the author made the ratings, the paper states the finding plainly, without self-defense or self-punishment. The redesign targets the form, where the anchor was built in, instead of the rater's willpower.
Seven ratings and one form
The rating form is reproduced in outline, with last year's score printed above the space for this year's, and the timing of the decision noted.
Reasons checked against records
Written reasons cited accuracy and reliability, yet two people described as more accurate had higher audited error rates than the year before.
An anchor printed on the page
Anchoring predicts ratings that hug the prior score, and six of seven do, with the largest adjustments running well short of what the figures supported.
Two rival explanations
Recency fails because final-quarter results do not predict the ratings; leniency survives in part, since all seven sit at 2.8 or above.
Fixing the form, not the rater
Blind first ratings, prior scores revealed afterward, and any change smaller than half a point explained against the year's figures in writing.
Where marks go in MT302 Unit 7
Naming a bias without testing it is the usual shortfall, since nearly any decision can be labeled anchoring or confirmation bias after the fact. Papers skipping the stated reasons, or dismissing them unchecked, lose the comparison the unit is built on. Instructors frequently look for a bias chosen because the evidence fits its specific prediction rather than because it is familiar. Rival explanations considered and rejected add credibility, whereas a single bias asserted as the whole story reads as convenient. Cases about someone else's decision risk becoming blame, and the strongest papers often analyze a decision the author made. Recommendations telling a decision maker to try harder ignore research showing that biases resist effort, so redesigning the decision process tends to earn more credit than exhortation.
Get a MT302 Unit 7 example written to your instructions
Describe the decision you want examined, without names, or point to the case your instructor assigned, and add the Unit 7 prompt and rubric. A free first sample tests the stated reasons against the evidence, names the bias that fits and weighs its rivals. Expect it within 24-48h, shaped to your own instructions.
MT302 Unit 7 questions, answered
What is anchoring and adjustment?
A pattern Tversky and Kahneman described in which people estimate by starting from an initial value and adjusting, usually too little. The initial value can be relevant, like last year's rating, or entirely arbitrary. In workplace decisions it appears wherever a prior number is visible: budgets, salary offers, time estimates and performance appraisals.
Can a decision reflect both a bias and good reasons?
Yes. Biases and reasons can both contribute, and a paper should test how much each explains. Here the reasons were sincere but described people in general rather than the year, while the anchor predicted the actual numbers. Showing that division is more convincing than dismissing the reasons outright.
Is a biased decision I made myself a risky subject?
It is usually the stronger choice, and instructors tend to respect it. Keep other people anonymous, stay with the decision rather than confession, and end with a change to the process. Biases are features of how everyone decides, so identifying one in your own work demonstrates understanding rather than failure.