[Full-Version] 2022 New Preparation Guide of HBX CORe Exam [Q83-Q97]

CORe HBX

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September 2, 2022

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[Full-Version] 2022 New Preparation Guide of HBX CORe Exam

CORe Practice Exam – 265 Unique Questions

Introduction to HBX CORe Exam

Credential Preparation (CORe) is a comprehensive online program that includes three training courses: Service Analysis, Business Economics for Managers, and Financial Accounting, designed to help you become familiar with business language. It will undoubtedly expand the capabilities of widely positioned and important beliefs and add certainty to business discussions and momentum.

To obtain proof of eligibility, members must do the following:

Simplify the end-of-year exam scoring for each of the three-section courses
Carefully total all modules based on shared outage hours
Demonstrate hardware mastery with an excellent module test surface
Participate sufficiently in the circulations through reflections and new steps, for example

Our HBX CORE practice exams and HBX CORE Dumps will definitely help you understand the language of the organization. You will surely develop essential localized reasoning ability and certainty to contribute to business and dynamic discussions. The final and crucial CORe test is a three-hour closed post-assessment, with different decisions, conveyed by the HBS online course phase. The test is used for participants after a successful conclusion of the program for specific time periods after the cut-off time of the last component. The exam is divided into three areas: Organizational Analysis, Economics for Supervisors, and Financial Accounting, and you have one hour to complete each segment. Each of the 3 test locations will have 45 questions, of which a large section will be a different option or a different selection. You can complete exams in any application and it is not necessary to complete all segments at the same time. However, when you start a component, a clock will start and it will also be scanned based on the number of questions completed during that period.

What is the duration, language, and format of the HBX CORe Exam

Language: English
Passing score: 70%
Number of Questions: 60
Length of Examination: 120 minutes
Type of Questions: Single and Multiple Choice.

NEW QUESTION 83
A company owns an empty office building and is deciding how to use it next year. It would cost $100,000 to staff the office and $15,000 for equipment. The revenues would be $160,000. Meanwhile, it could rent the office to another company for $75,000 in revenues. In both cases, the company must pay $5,000 for the building’s electricity. If the company is seeking to maximize its economic profit, which course should it pursue and what is the outcome?

Rent the office to another company, and earn $70,000 in economic profit.

Rent the office to another company, and earn $30,000 in economic profit.

Use the office, and earn $40,000 in economic profit.

Rent the office, and earn $35,000 in economic profit.

NEW QUESTION 84
A company reported the following information for 2013:

During 2013, the company purchased new inventory of $160,000. What amount should the company report as cost of goods sold on its 2013 income statement?

$60,000

$100,000

$160,000

$220,000

NEW QUESTION 85
A company’s Balance Sheet for the year ended Dec. 31, 2013 is as follows:

(In millions)
The company is MOST likely in which of the following industries?

Commercial banking

Retailing

Pharmaceutical

Civil aviation

NEW QUESTION 86
—
A student is interested in which factors affect the U.S. poverty rate and develops a model using the following independent variables:
The unemployment rate The percent of the adult (over 25) population with at least a bachelor’s degree The percent of the population without health insurance
The student collects data from each of the 50 states in the U.S. and Washington D.C. for the year 2012 and runs the regression in Excel. The results of this regression are given below. Based on these results, what does the model predict the poverty rate would be for a state for which the unemployment rate is 6%, 20% of all adults over 25 have at least a bachelor’s degree, and 5% of the population does not have health insurance?

(Note that all percent values are given as numbers between 0 and 1.)

1.14%

1.27%

14.14%

26.48%

NEW QUESTION 87
The histogram below shows the Industrial Production Index, which measures the output of the manufacturing, mining, and utilities industries for 34 selected countries. After confirming that the data are accurate, economists studying the results are debating how to handle the value for Iceland, 187.4.

The economists are determined to present the most accurate depiction of the data for all 34 countries. Which of the recommendations below is BEST?

The value for Iceland is an outlier and should be eliminated since it will skew the results gathered from the rest of the data.

The value for Iceland is an outlier and should be changed so that it presents a more accurate picture of the data.

The value for Iceland is an outlier and should not be eliminated since it is a valid entry and removing it would affect the results.

The value for Iceland is not an outlier but should be changed so that it presents a more accurate picture of the data.

NEW QUESTION 88
Changing accounting assumptions from year to year without having justifiable reasons for the changes is a departure from the accounting principle of:

Verifiability

Conservatism

Historical cost

Consistency

NEW QUESTION 89
Although they may vary, cash flows from financing activities in a mature company are usually:

positive, because companies may require funds to maintain research and development (R&D) activities

positive, because there is no need to fund growth

negative, because companies may receive enough funds fromoperations to cover investments

negative, because companies maybe paying their main suppliers

NEW QUESTION 90
Assuming the confidence level remains constant, what happens to the width of the confidence interval as the sample size increases?

The confidence interval widens.

The confidence interval narrows.

The confidence interval remains unchanged.

It is not possible to determine the changes without seeing the data first.

NEW QUESTION 91
A company’s main product has not been selling as well as in the past. A manager is tasked with understanding the decreased sales and decides to conduct a focus group of current customers. Is this a good strategy?

No, the manager should survey current customers instead.

No, the manager should include both current and former customers in the focus group.

Yes, the manager will get a large amount of quantitative data regarding the product.

Yes, the manager will get information on how customers value different features of the product.

NEW QUESTION 92
An asset manager performs a regression analysis of Boeing’s monthly returns against the monthly returns of the Standard and Poor’s 500 (S&P 500), a stock market index of 500 large companies. Since the financial market is so volatile, the asset manager decides that it is nearly impossible to forecast exactly what Boeing’s monthly returns will be and therefore asks the team to provide a range of possible monthly returns for Boeing. The manager wants to cover as many potential outcomes as possible and asks the team to construct a 99.7% prediction interval. Given the regression output below, which of the following options is a reasonable estimate of the 99.7% prediction interval for Boeing’s monthly returns, assuming that the S&P 500 monthly returns decline by 3%? Note that percentages are represented as values between 0 and 1.

-2.66% to -2.18%

-2.58% to -2.26%

2.18% to 2.66%

2.26% to 2.58%

NEW QUESTION 93
A doctor wants to predict the probability that a woman develops breast cancer based on her age, race, and diet. Which of the following statistical tools is the MOST suitable for this study?

Perform a multiple linear regression analysis

Construct confidence intervals

Conduct a one-sample hypothesis test

Conduct a two-sample hypothesis test

NEW QUESTION 94
Using the histogram below, how many companies have market capitalizations of more than $248 billion and up to and including $260 billion?

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Topic 2, Economics for Managers

NEW QUESTION 95
A group of season ticket holders wants to forecast what the total attendance at National Football League (NFL) games will be next season. A study by the US Census Bureau predicts that the total US population next year will be 310.738 million and the percent change in disposable income per capita will be 1.0%.

Based on the regression output below, which of the following figures is the MOST accurate prediction for total NFL attendance next season?

4.9 Million

13.0 Million

17.1 Million

27.6 Million

NEW QUESTION 96
Which of the following pieces of information can be determined by looking at an income statement?

The increase or decrease in owner’s equity for the accounting period

The change in cash position during the accounting period

The amount of pretax profit or loss during the accounting period

The amount of tax paid during the accounting period

NEW QUESTION 97
A group of season ticket holders wants to forecast attendance at National Football League (NFL) games for the upcoming season. One ticket holder argues that using the population of the United States as the only independent variable would explain as much as using both the United States population and the percent change in disposable income (per capita) as independent variables. Another ticket holder argues that using the percent change in disposable income (per capita) asthe only independent variable would provide the most accurate forecast. Listed below are the Adjusted R2 values for three regression models. Based on these values, and keeping in mind that the ticket holders are only concerned about forecasting, what is the correct conclusion?
– NFL Attendance vs. US Population and Percent Change in Disposable Income.
Adjusted R2= 0.8964 – NFL Attendance vs. US Population: Adjusted R2= 0.8609 – NFL Attendance vs. Percent Change in Disposable Income. Adjusted R2= -0.0244

The Adjusted R2 of NFL Attendance vs. Percent Change in Disposable Income is negative, so Percent Change in Disposable Income should be excluded from any regression model.

The Adjusted R2 of NFL Attendance vs. US Population is higher than that of NFL Attendance vs. Percent Change in Disposable Income, so US Population should be the only independent variable in the regression model.

The Adjusted R2 of NFL Attendance vs. US Population and Percent Change in Disposable Income is higher than that of either single variable regression model, so both US Population and Percent Change in Disposable Income should be included in the regression model.

There is not any information regarding the p-values of the independent variables, so it is impossible to determine the explanatory power of the regression models.

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