Reviewed learning material · Video analysis · EnglishRead the full overview
This short lecture works through an expected-utility decision problem. Sam can either keep a current job paying $70,000 for sure or take a Berkshire job paying $40,000 with a 0.5 chance of a $50,000 bonus. With utility function u(w)=ln(w), the video first states that the correct comparison is between utilities, not expected wealth alone. It then computes the certain job's utility as ln(70,000)=11.156 and the risky job's expected utility as 0.5ln(40,000)+0.5ln(90,000)=11.002. Since 11.156>11.002, the conclusion is that Sam keeps his current job.
Calculation check: the source slide says 11.001, but 0.5ln(40,000)+0.5ln(90,000)=ln(60,000)≈11.002; the job choice is unchanged.
Use the learning inspector for key ideas and moments, or open the reading tabs for the complete notes.
Generated from the video's visuals and explanation; not verbatim speech.
The clip opens with a plain title card reading "Expected Utility," signaling that the lesson will evaluate choices using utility rather than raw payoffs alone.
A lecturer appears beside a written problem. The setup gives two alternatives for Sam: keep a current job with certain income $70,000, or accept a Berkshire job with base salary $40,000 and a 0.5 chance of a 50,000bonus.Hispreferencesarerepresentedbyu(w)=ln(w),wherew$ is wealth or money made.
Before calculating, the video states the decision rule explicitly: compare the utility obtained from each option. The speaker emphasizes that this is not a comparison of expected wealth alone, because one option is certain and the other is risky.
For Scenario 1, the current job has only one outcome, so the utility is found by direct substitution into the utility function: u(70,000)=ln(70,000)=11.156. This is the utility value attached to the certain alternative.
For Scenario 2, the risky job must first be broken into its possible monetary outcomes. With probability 0.5 Sam receives no bonus and earns $40,000. With probability 0.5 he receives the bonus and earns 40,000+50,000=90,000.
The expected utility of the risky job is then the probability-weighted sum of the utilities of those outcomes: EU=0.5ln(40,000)+0.5ln(90,000). The slide evaluates the pieces as 5.298+5.7037, giving EU=11.002. Calculation check: the source slide says 11.001, but 0.5ln(40,000)+0.5ln(90,000)=ln(60,000)≈11.002; the job choice is unchanged.
Finally, the two results are compared on the same utility scale. Since 11.156>11.002, the current job yields higher utility, so Sam keeps his current job.
Knowledge cards
01
Expected utility decision rule
The video defines the relevant comparison for Sam's job choice as a comparison of utility from each option, not merely expected dollar payoff. For a risky option, this means converting each monetary outcome into utility and then averaging those utilities with probabilities.
EU=i∑piu(wi)
02
Logarithmic utility function
Sam's preferences are represented by the function u(w)=ln(w), where w denotes wealth or money made. All payoff comparisons in the example are performed after applying this function.
u(w)=ln(w)
03
Utility of a certain payoff
When an option has one outcome with probability 1, its utility is obtained by direct substitution into the utility function. In the example, the current job's certain income 70,000givesutilityln(70,000)=11.156$.
u(70,000)=ln(70,000)=11.156
04
Outcomes of the risky job
The Berkshire job has two equally likely monetary outcomes. If there is no bonus, Sam earns the base salary $40,000. If the bonus occurs, he earns $40,000+50,000=90,000. Each outcome has probability 0.5.
0.5:40,0000.5:90,000
05
Expected utility of the risky job
For the uncertain job, the video computes expected utility by weighting each outcome's utility by its probability: 0.5ln(40,000)+0.5ln(90,000). The displayed intermediate values are 5.298 and 5.7037, summing to 11.002. Calculation check: the source slide says 11.001, but 0.5ln(40,000)+0.5ln(90,000)=ln(60,000)≈11.002; the job choice is unchanged.
EU=0.5ln(40,000)+0.5ln(90,000)=11.002
06
Final choice in the example
After computing both values, the decision is made by choosing the larger utility. Since the current job gives 11.156 and the Berkshire job gives 11.002, Sam keeps his current job. Calculation check: the source slide says 11.001, but 0.5ln(40,000)+0.5ln(90,000)=ln(60,000)≈11.002; the job choice is unchanged.
11.156>11.002
07
Common mistake: comparing expected wealth instead of utility
The speaker explicitly warns against deciding by expected wealth alone. Because the utility function is nonlinear, the correct criterion in this problem is expected utility under u(w)=ln(w), not the raw expected dollar amount.
Detailed learning notes
Explore conditions, steps and evidence. Supplementary explanations are labeled separately from content shown in the video.
Symbols · 5
u(w)
Clear evidence
Shown in the video
Evidence
Caption evidence
Observation
The problem statement on screen includes the utility function written as u(w)=ln(w).
Audio
Observation
The speaker says Sam's utility function is given by the ln of w.
Symbol
u(w)
Meaning
Sam's utility from wealth or money made; in this example it is evaluated by the natural logarithm of wealth.
Domain
Defined for positive wealth values used in the example, namely 70,000, 40,000, and 90,000.
w
Clear evidence
Shown in the video
Evidence
Caption evidence
Observation
The displayed formula uses w inside ln(w).
Audio
Observation
The speaker describes w as how much money he makes or wealth.
Symbol
w
Meaning
Wealth or monetary payoff associated with a job choice or outcome.
Domain
Positive dollar amounts appearing in the example: 70,000, 40,000, and 90,000.
ln
Clear evidence
Shown in the video
Evidence
Caption evidence
Observation
The on-screen formula shows ln(w).
Audio
Observation
The speaker repeatedly refers to the ln of 70,000, 40,000, and 90,000.
Symbol
ln
Meaning
Natural logarithm function applied to wealth in the utility specification.
Domain
Applied to positive wealth values in the example.
11.156
Clear evidence
Shown in the video
Evidence
Caption evidence
Observation
The slide writes u(w)=ln(w)=ln(70,000)=11.156 under Scenario 1.
Audio
Observation
The speaker says his utility from scenario one is the ln of 70,000, equal to 11.156.
Symbol
11.156
Meaning
Numerical utility value for keeping the current job with certain income of $70,000.
Domain
Approximate decimal value shown on screen and spoken aloud.
11.001
Clear evidence
Shown in the video
Evidence
Caption evidence
Observation
The slide writes u(w)=.5\ln(40,000)+.5\ln(90,000) and then u(w)=5.298+5.7037=11.001.
Audio
Observation
The speaker says the new job utility is 11.001.
Symbol
11.001
Meaning
Numerical expected utility value for accepting the Berkshire job with uncertain income. Calculation check: the source slide says 11.001, but 0.5ln(40,000)+0.5ln(90,000)=ln(60,000)≈11.002; the job choice is unchanged.
Domain
Approximate decimal value shown on screen and spoken aloud.
Knowledge points · 5
Expected utility as the comparison criterion
Clear evidence
Shown in the video
Evidence
Audio
Observation
The speaker says they must compare the utility he will receive from each option, not just the expected wealth from each option.
Caption evidence
Observation
On-screen text states: 'So we are going to compare two scenarios when deciding which decision Sam will make. We must compare the utility he will receive from each option.'
Definition
Explanation
In this example, the decision rule is to compare the utility associated with each option rather than comparing only expected dollar payoffs. For a risky option, the relevant quantity is the probability-weighted average of utilities across outcomes.
Formula
Conditions
There are multiple decision options.
At least one option has uncertain outcomes.
Preferences are represented by a utility function.
Prerequisites
Logarithmic utility function
Logarithmic utility function
Clear evidence
Shown in the video
Evidence
Caption evidence
Observation
The problem statement on screen gives Sam's utility function as u(w)=ln(w).
Audio
Observation
The speaker says Sam's utility function is given by the ln of w.
Formula
Explanation
The video specifies Sam's preferences over wealth using the utility function u(w)=ln(w), where w denotes wealth or money made. This function converts monetary outcomes into utility values before comparison.
Formula
u(w)=ln(w)
Conditions
w is positive wealth or income.
Utility comparisons are made after applying the function to each monetary outcome.
Prerequisites
u(w)
w
ln
Utility of a certain outcome
Clear evidence
Shown in the video
Evidence
Caption evidence
Observation
The slide labels 'Scenario 1: Keep current job' with '$70,000' and computes u(w)=ln(w)=ln(70,000)=11.156.
Audio
Observation
The speaker says that with 100% certainty he'll make $70,000, so his utility is simply the ln of 70,000.
Method
Explanation
When an option yields a single certain payoff, its utility is found by directly substituting that payoff into the utility function. Here the certain current-job income of 70,000givesutilityln(70,000)$.
Formula
u(70,000)=ln(70,000)=11.156
Conditions
The option has one outcome with probability 1.
The utility function is known.
Prerequisites
Logarithmic utility function
Expected utility of a risky option
Clear evidence
Shown in the video
Evidence
Caption evidence
Observation
The slide writes u(w)=.5\ln(40,000)+.5\ln(90,000) for Scenario 2.
Audio
Observation
The speaker explains that 50% of the time Sam gets $40,000 and 50% of the time he gets $90,000, then forms 50% times ln(40,000) plus 50% times ln(90,000).
Method
Explanation
For an option with several possible monetary outcomes, the video computes expected utility by weighting each outcome's utility by its probability and summing the results. The Berkshire job has two outcomes, $40,000 and $90,000, each with probability 0.5.
Formula
EU=0.5ln(40,000)+0.5ln(90,000)
Conditions
The risky option has discrete outcomes with known probabilities.
Probabilities sum to 1.
Each outcome is first mapped through the utility function.
Prerequisites
Logarithmic utility function
Expected utility as the comparison criterion
Choose the option with higher utility
Clear evidence
Shown in the video
Evidence
Audio
Observation
The speaker says since 11.156 is a greater amount of utility, Sam will keep his current job.
Caption evidence
Observation
The final displayed numerical comparison is between 11.156 and 11.001.
Method
Explanation
After computing the utility of the certain option and the expected utility of the risky option, the decision is made by selecting the larger value. In the example, 11.156>11.002, so the current job is preferred.
Formula
11.156>11.002
Conditions
Both options have been evaluated on the same utility scale.
The decision maker prefers more utility to less.
Prerequisites
Utility of a certain outcome
Expected utility of a risky option
Claims and conditions · 1
Conclusion of the worked example
Clear evidence
Shown in the video
Evidence
Audio
Observation
The speaker concludes that because 11.156 is greater than 11.001, Sam will keep his current job.
Caption evidence
Observation
The displayed final values are 11.156 for Scenario 1 and 11.001 for Scenario 2.
Proposition
Statement
Given u(w)=ln(w), the certain current job yielding $70,000 gives utility 11.156, while the risky Berkshire job gives expected utility 11.002, so Sam keeps his current job.
Hypotheses
Sam's utility function is u(w)=ln(w).
Current job income is certain at $70,000.
Berkshire job pays $40,000 with probability 0.5 and $90,000 with probability 0.5.
No other considerations affect the decision.
Quantifiers
For the specific decision problem stated in the video.
Derivations and proofs · 3
Derivation of utility for the current job
Clear evidence
Shown in the video
Evidence
Caption evidence
Observation
The slide shows Scenario 1: Keep current job, $70,000, then u(w)=ln(w)=ln(70,000)=11.156.
Audio
Observation
The speaker says with 100% certainty he'll make $70,000, so plug 70 into the utility function ln(w), giving 11.156.
Uncertainties
The audio shorthand 'plug in 70' corresponds to the displayed value 70,000; the on-screen formula is the clearer evidence.
Numerical verification
Steps
Expression
w=70,000
Explanation
Scenario 1 is the current job, which yields a certain income of $70,000.
Justification
Stated directly in the problem text and repeated by the speaker.
Shown in the video
Expression
u(w)=ln(w)
Explanation
Apply Sam's given utility function to the certain wealth level.
Justification
The problem specifies the utility function u(w)=ln(w).
Shown in the video
Expression
u(70,000)=ln(70,000)=11.156
Explanation
Substitute the certain payoff and evaluate the natural logarithm numerically.
Justification
Direct substitution into the given utility function, followed by the numerical evaluation shown on screen.
Shown in the video
Conclusion
The utility from keeping the current job is 11.156.
Identify the two monetary outcomes of the risky job
Clear evidence
Shown in the video
Evidence
Audio
Observation
The speaker says 50% of the time he does not get a bonus and makes $40,000; the other 50% he gets the bonus and makes $40,000+$50,000=$90,000.
Caption evidence
Observation
The problem statement says base salary $40,000 and a 0.5 chance of receiving a bonus of $50,000.
Numerical verification
Steps
Expression
p1=0.5,w1=40,000
Explanation
With probability 0.5 Sam receives no bonus, so his total income is the base salary alone.
Justification
Given in the problem statement and explained verbally.
Shown in the video
Expression
p2=0.5,w2=40,000+50,000=90,000
Explanation
With probability 0.5 Sam receives the bonus, so his total income is base salary plus bonus.
Justification
Given in the problem statement and computed explicitly by the speaker.
Shown in the video
Conclusion
The Berkshire job has two equally likely outcomes: $40,000 and $90,000.
Compute expected utility for the risky job
Clear evidence
Shown in the video
Evidence
Caption evidence
Observation
The slide shows u(w)=.5\ln(40,000)+.5\ln(90,000) and then u(w)=5.298+5.7037=11.001.
Audio
Observation
The speaker says the utility function will look like 50% times the ln of 40,000 plus 50% times the ln of 90,000, and the result is 11.001.
Numerical verification
Steps
Expression
EU=0.5ln(40,000)+0.5ln(90,000)
Explanation
Weight each outcome's utility by its probability and add the terms.
Justification
This is the expected-utility calculation method used in the video for a discrete risky option.
Shown in the video
Expression
EU=5.298+5.7037
Explanation
Evaluate the two logarithmic terms numerically as displayed on screen.
Justification
Intermediate numerical values are shown on the slide.
Shown in the video
Expression
EU=11.002
Explanation
Add the two weighted utility terms to obtain the expected utility of the Berkshire job.
Justification
Arithmetic summation of the displayed intermediate values.
Shown in the video
Conclusion
The expected utility from accepting the Berkshire job is 11.002. Calculation check: the source slide says 11.001, but 0.5ln(40,000)+0.5ln(90,000)=ln(60,000)≈11.002; the job choice is unchanged.
Worked examples · 1
Sam's job-choice expected utility example
Clear evidence
Shown in the video
Evidence
Caption evidence
Observation
The full problem statement is displayed on screen from about 6 seconds onward, including the two job options and u(w)=ln(w).
Audio
Observation
The speaker reads the problem and then solves it step by step.
Problem
Sam can keep his current job for a certain $70,000, or accept a Berkshire job with base salary $40,000 and a 0.5 chance of a $50,000 bonus. With utility function u(w)=ln(w), determine whether he keeps the current job, accepts the new job, or is indifferent.
Given
Current job payoff is $70,000 with certainty.
Berkshire job base salary is $40,000.
Bonus amount is $50,000.
Probability of bonus is 0.5.
Utility function is u(w)=ln(w).
No other considerations matter.
Goal
Compare the utility of the two job options and identify Sam's choice.
Steps
Expression
wcurrent=70,000
Explanation
Write the certain payoff for the current job.
Justification
Given directly in the problem statement.
Shown in the video
Expression
u(70,000)=ln(70,000)=11.156
Explanation
Compute the utility of the certain option by direct substitution into the utility function.
Justification
Uses the given utility function and the definition of utility for a certain outcome.
Shown in the video
Expression
wnew,1=40,000,wnew,2=90,000
Explanation
List the two possible payoffs of the risky job: no bonus and bonus received.
Justification
From the base salary and bonus information in the problem statement.
Shown in the video
Expression
EUnew=0.5ln(40,000)+0.5ln(90,000)
Explanation
Form the expected utility of the risky job by probability-weighting each outcome's utility.
Justification
Standard expected-utility computation demonstrated in the video.
Shown in the video
Expression
EUnew=5.298+5.7037=11.002
Explanation
Evaluate and sum the displayed numerical terms.
Justification
Intermediate arithmetic shown on screen.
Shown in the video
Expression
11.156>11.002
Explanation
Compare the utility of the current job with the expected utility of the new job.
Justification
Decision rule stated and applied in the video.
Shown in the video
Answer
Sam keeps his current job.
Verification
The conclusion follows from the displayed numerical comparison: the certain job has utility 11.156, while the risky job has expected utility 11.002.
Visual events · 6
Opening title card
Clear evidence
Shown in the video
Evidence
Animation
Observation
A white title card displays the centered text 'Expected Utility'.
Objects
White background
Centered title text 'Expected Utility'
Changes
Title text appears and then fades out.
Invariants
No mathematical notation is shown yet.
Interpretation
This segment introduces the topic label only.
Problem statement slide
Clear evidence
Shown in the video
Evidence
Diagram
Observation
A lecturer appears on the left and a text panel on the right shows the full word problem, including u(w)=ln(w).
Caption evidence
Observation
The right-side text states the two job options and asks whether Sam keeps his job, accepts the new job, or is indifferent.
Objects
Lecturer on left
Right-side text panel
Problem statement with dollar amounts and u(w)=ln(w)
Changes
The full problem statement becomes visible and remains on screen while the speaker reads it.
Invariants
The two alternatives and the utility function stay fixed during this interval.
Interpretation
The visual establishes the decision problem and the preference representation used for the calculation.
Method note added to slide
Clear evidence
Shown in the video
Evidence
Caption evidence
Observation
Additional on-screen text appears: 'So we are going to compare two scenarios when deciding which decision Sam will make. We must compare the utility he will receive from each option.'
Audio
Observation
The speaker says they are not just comparing expected wealth but comparing utility under uncertainty versus certainty.
Objects
Existing problem text
New explanatory sentence below it
Changes
A new sentence appears beneath the problem statement explaining the comparison method.
Invariants
The original problem data remain unchanged.
Interpretation
The slide visually shifts from stating the problem to stating the solution principle: compare utilities, not raw payoffs.
Scenario 1 calculation appears
Clear evidence
Shown in the video
Evidence
Diagram
Observation
The lower part of the slide adds 'Scenario 1: Keep current job' with '$70,000' and the equation u(w)=ln(w)=ln(70,000)=11.156.
Objects
Scenario 1 heading
Dollar amount $70,000
Equation chain ending in 11.156
Changes
Scenario 1 label and payoff appear first, then the utility equation is completed to 11.156.
Invariants
The problem statement and method note remain above.
Interpretation
The animation presents the certain alternative and its direct utility evaluation.
Scenario 2 expected utility calculation appears
Clear evidence
Shown in the video
Evidence
Diagram
Observation
The slide adds 'His utility from scenario 2 is:' followed by u(w)=.5\ln(40,000)+.5\ln(90,000), then u(w)=5.298+5.7037=11.001.
Objects
Scenario 2 heading
Expected utility expression
Intermediate numerical terms
Final value 11.001
Changes
The expected-utility expression appears first, then the intermediate sum 5.298+5.7037, then the final value 11.001.
Invariants
Scenario 1 result 11.156 stays visible for comparison.
Interpretation
The visual sequence shows how a risky prospect is converted into a single expected utility number.
Final side-by-side numerical comparison
Clear evidence
Shown in the video
Evidence
Diagram
Observation
Both final numerical results remain on screen together: 11.156 for Scenario 1 and 11.001 for Scenario 2.
Audio
Observation
The speaker states that because 11.156 is greater, Sam keeps his current job.
Objects
Scenario 1 utility 11.156
Scenario 2 expected utility 11.001
Changes
No new formula is added; the existing two results are used for the concluding comparison.
Invariants
The two computed utility values remain visible simultaneously.
Interpretation
The final visual state supports the decision rule by placing the two utilities side by side.
Misconceptions · 1
Do not decide by expected wealth alone when utility is nonlinear
Clear evidence
Shown in the video
Evidence
Audio
Observation
The speaker explicitly says, 'we're not just going to be comparing the expected wealth from each option, we're going to be comparing his utility'.
Caption evidence
Observation
The added on-screen method note says they must compare the utility he will receive from each option.
Misconception
One might think the choice should be made by comparing expected dollar payoffs directly.
Clarification
The video stresses that the correct comparison is between utilities, because the decision criterion is expected utility under the given function u(w)=ln(w), not expected wealth alone.
Concept relations · 3
Logarithmic utility function → Expected utility of a risky option
Clear evidence
Shown in the video
Evidence
Caption evidence
Observation
The problem first gives u(w)=ln(w), and later the slide applies ln to each monetary outcome in the expected-utility formula.
Audio
Observation
The speaker first states the utility function and then uses it to compute both scenario values.
Prerequisite
Explanation
The expected-utility computation for the risky job depends on first having the utility function u(w)=ln(w).
Utility of a certain outcome → Expected utility of a risky option
Clear evidence
Shown in the video
Evidence
Caption evidence
Observation
Scenario 1 is evaluated as a single substituted value, while Scenario 2 is evaluated as a weighted sum of two utility terms.
Audio
Observation
The speaker contrasts the certainty of Scenario 1 with the uncertainty of Scenario 2.
Contrast
Explanation
The video contrasts direct utility evaluation for a certain payoff with probability-weighted utility evaluation for a risky payoff.
Choose the option with higher utility → Conclusion of the worked example
Clear evidence
Shown in the video
Evidence
Audio
Observation
The speaker uses the inequality between 11.156 and 11.001 to conclude that Sam keeps his current job.
Caption evidence
Observation
The two final numerical values remain on screen for comparison.
Proof dependency
Explanation
The final conclusion depends on the decision rule that the option with the larger utility value is chosen.
Find an answer · 5
How do you compute expected utility for a job with two possible payoffs?
Clear evidence
Shown in the video
Evidence
Audio
Observation
The speaker explains that the decision compares utility from each option, including a risky one.
Caption evidence
Observation
The slide shows the expected-utility expression for Scenario 2.
Knowledge points
Expected utility as the comparison criterion
Expected utility of a risky option
Why compare utility instead of expected wealth in this decision problem?
Clear evidence
Shown in the video
Evidence
Audio
Observation
The speaker says they are not just comparing expected wealth from each option.
Caption evidence
Observation
The method note says they must compare the utility he will receive from each option.
Knowledge points
Expected utility as the comparison criterion
Do not decide by expected wealth alone when utility is nonlinear
How do you find the utility of a certain income when u(w)=ln(w)?
Clear evidence
Shown in the video
Evidence
Caption evidence
Observation
The slide computes u(w)=ln(w)=ln(70,000)=11.156 for Scenario 1.
Audio
Observation
The speaker says to plug 70,000 into the utility function.
Knowledge points
Utility of a certain outcome
Derivation of utility for the current job
How do you turn a base salary plus probabilistic bonus into expected utility?
Clear evidence
Shown in the video
Evidence
Audio
Observation
The speaker splits the risky job into a 50% no-bonus case and a 50% bonus case.
Caption evidence
Observation
The slide shows .5\ln(40,000)+.5\ln(90,000).
Knowledge points
Identify the two monetary outcomes of the risky job
Expected utility of a risky option
Based on the computed utilities, which job does Sam choose?
Clear evidence
Shown in the video
Evidence
Audio
Observation
The speaker concludes Sam keeps his current job because 11.156 is greater than 11.001.
Caption evidence
Observation
The final displayed comparison is between 11.156 and 11.001.
Knowledge points
Choose the option with higher utility
Conclusion of the worked example
Coverage and review notes
Covered · Title card only; no mathematical content beyond the topic label 'Expected Utility'.
Covered · Problem statement is read and displayed, including the two job options and u(w)=ln(w).
Covered · The speaker states the solution method: compare utilities, not merely expected wealth.
Covered · Scenario 1 utility is computed as ln(70,000)=11.156.
Covered · Scenario 2 outcomes are identified and expected utility is computed as 0.5ln(40,000)+0.5ln(90,000)=11.002.
Covered · Final comparison 11.156>11.002 leads to the conclusion that Sam keeps his current job.