Business Research Quiz
1. When considering analysis of research data, which is a characteristic we look for?
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Spread in the data |
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Location (central tendency of the data) |
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Shape of the data |
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Stability of the data |
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All of the above |
5 points
Question 2
1. Which of the following describes the data observation that occurs most frequently?
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Mean |
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Median |
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Mode |
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Range |
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Standard deviation |
5 points
Question 3
1. What is σ (sigma) a measure of?
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Location |
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Spread |
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Stability |
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Mean |
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Mode |
5 points
Question 4
1. Which test is best to test the hypothesis that multiple variances (2 or more) are equal?
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t test |
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proportions test |
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Mood's median test |
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Levene's test |
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Analysis of Variance (ANOVA) |
5 points
Question 5
1. In the sampling, hypothesis testing and analysis of business research data, which of the following is true?
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We make inferences about the population parameters based on sample statistics |
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The sample should be representative of the population |
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A larger sample size is always better |
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Answers1 and 2 only |
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Answers 1, 2 and 3 |
5 points
Question 6
1. What is the advantage of a dot plot over a histogram?
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Preserves the original data in the plot |
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Shows shape of the data in the plot |
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Shows spread of the data in the plot |
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Shows central location of the data |
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Shows priority of categories |
5 points
Question 7
1. What is the name of the research data analysis tool shown below?
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Histogram |
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Pareto chart |
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Bar graph |
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Box plot |
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Line plot |
5 points
Question 8
1. What is the implication of a data distribution with mean, median and mode being approximately equal?
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The spread in the data are equal |
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The data are unstable |
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The data can not be plotted using a Histogram |
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The data are normally distributed |
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The data can not be plotted using a Box Plot |
5 points
Question 9
1. Which test is best to assess whether two independent means are equal?
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2-sample t test |
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Levene's test |
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paired t test |
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one proportion test |
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two proportions test |
5 points
Question 10
1. Which test is best to assess whether the % defective is the same between two independent business units?
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2 sample t test |
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Levene's test |
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paired t test |
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one proportion test |
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two proportion test |
5 points
Question 11
1. A researcher’s hypothesis to test for equality of means at 95% confidence was rejected with a p-value of 0.01. What is the chance the researcher is wrong about this 'reject' decision?
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95% |
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5% |
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1% |
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99% |
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impossible to tell without further analysis |
5 points
Question 12
1. A researcher’s hypothesis to test for equality of means (i.e., 2 sample t test) at 95% confidence was accepted with a p-value of 0.25 What is the chance the researcher is wrong about this "accept" decision?
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95% |
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5% |
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25% |
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75% |
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impossible to tell without further analysis |
5 points
Question 13
1. Refer to the Minitab output below. The results of a statistical test at 95% confidence (significance level of 0.05) to determine the difference in the average amount of time to process a legible insurance claim vs. an illegible insurance claim are below. What is the decision?
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continue to process legible insurance claims |
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accept the null hypothesis |
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reject the null hypothesis |
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continue to process both legible and illegible insurance claims |
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the amount of time to complete a legible claim is about the same as an illegible claim |
5 points
Question 14
1. Refer to the Minitab output below. What is the research hypothesis under consideration?
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Ho: σ21 = σ22 |
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Ho: π1 = π2 |
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Ho: µ21 = µ22 |
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Ho: µ1 = µ2 |
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Ho: σ1 = σ2 |
5 points
Question 15
1. What is the most appropriate research hypothesis for the following scenario? “Historically, the mortality rate for particular type of brain surgery is 10%. A new, simpler technique has been developed that may reduce the mortality rate?
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Ho: σ2 ≤ 10% |
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Ho: π ≤ 10% |
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Ho: µ ≤ 10% |
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Ho: µ1 ≤ µ2 |
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Ho: π1 ≤ π2 |
5 points
Question 16
1. In managing the risks associated with statistically based research decisions, which is NOT likely something the researcher can select?
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alpha |
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beta |
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delta |
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sample size |
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sigma |
5 points
Question 17
1. Which is best defined as “the critical difference a researcher wants to be able to detect”?
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alpha |
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beta |
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delta |
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sample size |
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sigma |
5 points
Question 18
1. What is ANOVA?
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a stellar event |
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a PBS program |
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a type of chevrolet |
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a statistical research tool to test the hypothesis concerning equality of multiple variances |
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a statistical research tool to test the hypothesis concerming equality of multiple means |
5 points
Question 19
1. Refer to the ANOVA output below. A business researcher is investigating the process inputs that influence late orders (measured as % late). Which statement is FALSE?
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Three factors are being researched simultaneously |
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There is a chance of a beta error in this analysis |
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Four different product types were considered in this research |
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Particular combinations (interactions) of Order Frequency and Quantity significantly influences late orders |
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The Order Frequency significantly influences whether an order is late |
5 points
Question 20
1. Refer to the factor plot below. The factor plot shows the mean percent of time (i.e., 0.15 = 15%) orders are late based on particular combinations of order quantities and order frequencies. Which would be a reasonable recommendation based on this plot?
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Look elsewhere (i.e., another factor) to address Late Orders |
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Address order Quantities between 1 and 3 to help reduce Late Orders |
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Address order Quantities greater than 3 to help reduce Late Orders |
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Address order Quantities between 1 and 3 where the orders occur Daily, to help reduce Late Orders |
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Address order Quantities greater than 3 where the orders occur Daily, to help reduce Late Orders |