Mock Exam - Business Mathematics and Statistics 1
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Questions and Answers

What is the correlation coefficient that implies a strong positive relationship between two variables?

  • 0.58
  • -0.09
  • 0.99 (correct)
  • -0.85
  • Which statement is true regarding a large correlation?

  • It does not imply causation but a relationship. (correct)
  • It guarantees a linear relationship.
  • It always indicates a causal relationship.
  • It signifies a high likelihood of cause and effect.
  • How many words did the investigator communicate in the memory experiment?

  • 40
  • 10
  • 20
  • 30 (correct)
  • Which measure indicates the spread of the number of recalled words in the memory experiment?

    <p>Variance (C)</p> Signup and view all the answers

    What is the name of the graphical representation that could show the outlier in the number of recalled words?

    <p>Boxplot (B)</p> Signup and view all the answers

    If the recalled words are grouped into brackets, how many words fall into the bracket [15,20)?

    <p>5 (C)</p> Signup and view all the answers

    In the given data set, which of the options below reflects a non-symmetric distribution?

    <p>The data has a skewness towards higher values. (B)</p> Signup and view all the answers

    Based on the number of recalled words, which statement is true about the standard deviation?

    <p>It provides information on the compactness of the data. (C)</p> Signup and view all the answers

    What does the symbol $A^C$ represent in the context of set theory?

    <p>All elements in the sample space that are not in set A. (B)</p> Signup and view all the answers

    Which of the following correctly describes the event $A imes B$?

    <p>The combination of the possible outcomes in A and those in B. (C)</p> Signup and view all the answers

    What is the result of the operation $A imes B$ where $A = \{1, 2, 3}$ and $B = \{2, 4, 6}$?

    <p>{} (C)</p> Signup and view all the answers

    How many elements are present in the union of sets A and B ($A igcup B$)?

    <p>5 (D)</p> Signup and view all the answers

    Which statement correctly describes the intersection $A igcap B$?

    <p>It consists of all elements in A that are also in B. (C)</p> Signup and view all the answers

    What is the complement of set B, denoted $B^C$, in this scenario?

    <p>{1, 3, 5} (A)</p> Signup and view all the answers

    If $A = \{1, 2, 3}$ and $B = \{2, 4, 6}$, is the statement $A igcap B = {2}$ true or false?

    <p>True (D)</p> Signup and view all the answers

    Which of the following correctly states the relationship between the events A and B?

    <p>A and B have at least one element in common. (B)</p> Signup and view all the answers

    Flashcards

    𝐴 ∪ 𝐵 = Ω

    The union of two sets contains all elements present in either set. '𝐴 ∪ 𝐵' is true because all elements from 1 to 6 are present in either '𝐴' or '𝐵'.

    𝐴 ∩ 𝐵 = {2}

    The intersection of two sets contains only elements that are common to both sets. '𝐴 ∩ 𝐵' is true because '2' is the shared element between '𝐴' and '𝐵'.

    𝐴𝐶 ∩ 𝐵 = {4, 6}

    The complement of a set includes all elements that are not in the original set. '𝐴𝐶' includes elements not in '𝐴', and '𝐵' contains '4' and '6' not found in '𝐴𝐶', making the statement true.

    Correlation Coefficient

    A correlation coefficient measures the strength and direction of a linear relationship between two variables. A positive correlation means that as one variable increases, the other variable also tends to increase, while a negative correlation indicates that as one variable increases, the other tends to decrease. The absolute value of the correlation coefficient indicates the strength of the relationship, with a value closer to 1 indicating a stronger relationship.

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    Positive Correlation

    A positive correlation between two variables means that as one variable increases, the other variable also tends to increase. For example, a positive correlation between hours studied and exam scores would suggest that more study time is associated with higher exam scores.

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    Negative Correlation

    A negative correlation between two variables means that as one variable increases, the other variable tends to decrease. For example, a negative correlation between the number of hours spent watching TV and the number of books read would suggest that people who watch more TV tend to read fewer books.

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    Range of Correlation Coefficient

    The correlation coefficient ranges from -1 to +1. A value of +1 indicates a perfect positive linear relationship, a value of -1 indicates a perfect negative linear relationship, and a value of 0 indicates no linear relationship.

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    Scatterplot

    A scatterplot is a graph that displays the relationship between two variables. Each point on the scatterplot represents a pair of data values. The scatterplot can help to visualize the direction and strength of the relationship between the variables.

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    Standard Deviation vs. Interquartile range

    Standard deviation and interquartile range are both measures of spread, but they are calculated in different ways. The standard deviation takes into account all the data points in a dataset, while the interquartile range only uses the data points between the first and third quartiles.

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    Correlation and Causation

    A large positive correlation between two variables indicates that there is a strong relationship between the variables, but it does not necessarily imply a causal relationship. Causation means that one variable directly influences the other variable. Correlation does not imply causation, it simply indicates that the variables tend to change together.

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    Slope of Linear Regression

    The slope of a linear regression line represents the change in the dependent variable for every one unit change in the independent variable. A large positive slope indicates that the dependent variable is increasing rapidly as the independent variable increases.

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    Study Notes

    Mock Exam - Business Mathematics and Statistics 1

    • Module: Business Mathematics and Statistics 1
    • Lecturer: Prof. Dr. Tobias Schoch
    • Date: Brugg-Windisch
    • Campus: Olten/Basel
    • Time: 120 minutes
    • Allowed Material: Calculator TI-30, Laptop, Other (Specify)
    • Notes: Put name on all sheets, answer on provided sheets, write on back, use additional sheets if needed. No pencil unless graphs, no own sheets.

    Part Statistics - Mock Exam

    • Maximum Points: (Details on how many marks per problem)
    • General Notes:
      • The mock exam gives an impression of the final exam
      • Only covers part of relevant topics (refer to module description)
      • Largely based on previously discussed exercises in class
      • Does not serve as further exercises; further problems are in the compulsory reading.

    Problem 1 - Short Questions (10 points)

    • Part a): True or false questions regarding sets and events (A, B)
      • A ∪ B = Ω (True/False)
      • A ∩ B = {2} (True/False)
      • AC ∩ B = {4, 6} (True/False)
    • Part b): Matching scatter plots to correlations:
      • Four scatter plots with given correlations (-0.85, -0.09, 0.58, 0.99) related to A, B, C, D
      • Correlation to Scatter plots
    • Part c): True or false questions on correlation and dispersion
      • A large correlation signifies a causal relationship (True/False)
      • Standard deviation and interquartile range are both measures of dispersion (True/False)
      • A large positive correlation between variables x and y implies a large slope in a linear regression (True/False)

    Problem 2 - (12 points)

    • Memory Experiment Data:
      • 10 participants recalled a set of 30 words
      • Number of words recalled (xi) for each participant in given table.
    • Part a): Assess symmetry of recalled words' distribution
    • Part b): Identify if x10 is an outlier in a boxplot
    • Part c): Calculate relative frequencies for grouped x-data in brackets (5,10), (10,15), (15,20), (20,25).

    Problem 3 - (12 points)

    • Restaurant Profit and Customers: Examines a regression model of restaurants' profits vs. customer count

      • Scatterplot of profit against the number of customers (in 1000s)
      • Regression table with data like Constants, Coefficients, Standard error (Std. Error), t-value, P-Value
    • Part a): Write regression model formula

    • Part b): Describe relationship between profit and customers (in terms of tendency).

      • Describe the relationship/tendency between variable A and variable B based on the regression results (e.g. positive association).
    • Part c): Profit prediction for a restaurant with 22,000 customers.

    Problem 4 - (8 points)

    • Father-Son Professions: Analyzing data about professions of fathers and sons.
    • Contingency Table (provided). Missing entries and marginal totals.
    • Part a): Add missing data to the table
    • Part b): Probability of son being a day laborer given the father is a workman.
    • Part c): Probability that a son is a day laborer given his father is a workman.

    Problem 5 - (12 points)

    • Counting Problems: Counting possibilities for words and teams/arrangements.
    • Part a): Number of two-letter words (XYZ alphabet).
    • Part b): Number of possible football teams from 20 players (given a fixed goal keeper).
    • Part c): Number of ways to arrange 5 people in a queue.
    • Part d): Probability of winning lottery jackpot (choosing 6 out of 45 numbers).

    Problem 6 - (8 points)

    • Customer Payment Times: Analyzing payment data of 500 customers
    • Part a): Probability that a customer pays by invoice.
    • Part b): Probability that a customer pays by invoice and in time.
    • Part c): Probability that a customer pays in time if they pay online.

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    Description

    Prepare for your final exam with this mock exam covering key concepts from Business Mathematics and Statistics 1. This exam will simulate the conditions of the final, with a focus on statistics-related problems, including set theory and probability. Make sure to utilize your calculator TI-30 and familiarize yourself with the exam format.

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