The probability of either, but not both, of two independent events occurring [P(A or B)]is the sum of their individual probabilities.

Question 1The probability of either, but not both, of two independent events occurring [P(A or B)]is the sum of their individual probabilities.

 

  True

 

  False

 

 Question 2Which of the following measures central tendency and includes data from every score?

 

  The mean

 

  The standard deviation

 

  The mode

 

  The median

 

 Question 3The z score tells us how often a result occurs?

 

  True

 

  False

 

 Question 4Calculating the median requires data of at least what level?

 

  Nominal

 

  Ordinal

 

  Interval

 

  Ratio

 

Question 5A probability is found by dividing the number of possible outcomes (o) by the number of successes (e) P = o/e.

 

  True

 

  False

 

 Question 6The mean is?

 

  The most frequently occurring value in a data set.

 

  The arithmetic average of a set of numbers.

 

  The middle point in a set of values.

 

  The difference between the high and low values in a data set.

 

 Question 7The mean is the most frequently used measure of central location.

 

  True

 

  False

 

 Question 8Data on the city from which members of a board of directors come from represent interval level data.

 

  True

 

  False

 

 Question 9The standard deviation measures the central tendency of the data set.

 

  True

 

  False

 

 Question 10If a manager wants to know the typical deviation in worker’s productivity, she will calculate the range.

 

  True

 

  False

 

 

 

BUS308 Statistics for Managers

 

Week 2 Quiz  

 

Question 1A P-value is the probability of selecting a sample that accurately reflects the population.

 

  True

 

  False

 

 Question 2Typical P-values used in hypothesis testing do not include?

 

  0.001

 

  0.01

 

  0.05

 

  0.10

 

Question 3The t-test is used to test for variance equality between samples.

 

  True

 

  False

 

 Question 4What is the second step in the hypothesis testing procedure?

 

  State the decision rule.

 

  State the level of significance.

 

  State the test statistic and statistical test.

 

  State the null and alternate hypothesis statements.

 

 Question 5In Excel, we can find a t-test function in the

 

  Analysis ToolPak Statistical list

 

  The Fx statistical list.

 

  The Formulas More Functions list (in newer versions of Excel).

 

  All of these locations

 

 Question 6In writing the null and alternate hypothesis statements, which pair of symbols are used?

 

  An = in the null paired with an =/= (or ≠) in the alternate.

 

  An => in the null paired with an < in the alternate.

 

  An <= in the null paired with an > in the alternate.

 

  All of these may be used.

 

 Question 7What is the forth step in the hypothesis testing procedure?

 

  State the decision rule.

 

  State the level of significance.

 

  State the test statistic and statistical test.

 

  State the null and alternate hypothesis statements.

 

 Question 8The F-test can be used for testing mean equality.

 

  True

 

  False

 

 Question 9The F-test requires an assumption of equal variances within the samples being tested.

 

  True

 

  False

 

 Question 10Testing for mean equality between the salary and midpoint values would use the

 

  T-test assuming equal variance

 

  T-test not assuming equal variance

 

  Paired T-test

 

  We cannot compare these two measures.

 

 

 

BUS308 Statistics for Managers

 

Week 3 Quiz  

 

Question 1The Chi Square test requires data that is at least _____ in nature.

 

  nominal

 

  ordinal

 

  interval

 

  ratio

 

 Question 2The single factor ANOVA tests for mean differences between 3 or more groups by comparing

 

  Each population’s variance.

 

  Each sample’s variance.

 

  Overall versus average sample variance.

 

  Overall versus average population variance.

 

 Question 3 Testing to see if a single variable is distributed in a certain pattern is done with the

 

  Chi Square Contingency Table test

 

  ANOVA Single Factor test

 

  Chi Square Goodness of Fit test

 

  The F-test.

 

 Question 4Excel Chi Square functions (test, related probabilities, etc.) are found in the

 

  Analysis Toolpak list of functions.

 

  Fx statistical list.

 

  Formulas Other Functions list

 

  all of the above

 

  b and c only

 

 Question 5Excel’s options for performing an ANOVA include

 

  Single Factor ANOVA

 

  Two Factor ANVOA with replication

 

  Two Factor ANVOA without replication

 

  All of the above.

 

 Question 6ANOVA tests for variance differences

 

  within the samples.

 

  within the populations.

 

  by examining mean differences.

 

  ANOVA does not test for variance differences.

 

 Question 7ANOVA’s SS within is an estimate of the overall variance in the data set.

 

  True

 

  False.

 

 Question 8The value of the Chi Square statistic is determined by

 

  MSbetween/MSwithin

 

  (Mean1 – Mean2)/Standard error

 

  ∑ (Observed count – Expected count)^2/(Expected count).

 

  None of these formulas.

 

 Question 9One of the weaknesses with the Chi Square analysis involves having too many of the expected cells with values of 5 or less.  This results in.

 

  a decreased likelihood of rejecting the null hypothesis.

 

  an increased likelihood of rejecting the null hypothesis.

 

  a decreased likelihood of rejecting the alternate hypothesis.

 

  an increased likelihood of rejecting the alternate hypothesis.

 

 Question 10The alternate hypothesis for the single factor ANOVA states that all means differ.

 

  True

 

  False.

 

 

 

 

 

BUS308 Statistics for Managers

 

Week 4 Quiz  

 

Question 1A Pearson correlation of +1.00 is considered a “perfect positive correlation.” This means….

 

  the variable values would graph as a perfect vertical line

 

  the variable values would graph as a perfect horizontal line

 

  has the line with a positive slope and runs from the lower left to the upper right

 

  has the line with a positive slope and runs from the upper left to the lower right

 

 Question 2Since no P-value is available, the t Statistic values are used to determine the statistical significance of each of the variables listed in a regression analysis.

 

  True

 

  False

 

 Question 3Multiple regression equations can use nominal variables as inputs if they are coded as dummy variables.

 

  True

 

  False

 

 Question 4In the generic multiple regression equation is Y = A + B1*X1 + B2*X2 + …, what does B1 stand for?

 

  The Predicted output variable.

 

  The input variable.

 

  The Intercept

 

  The coefficient of an independent variable

 

 Question 5The statistical significance of a correlation is determined by an F-statistic.

 

  True

 

  False

 

 Question 6Excel functions that produce the Pearson Correlation Coefficient include:

 

  The Fx Function Correl.

 

  The Formulas Function Correl.

 

  The Data Analysis Function Correlation

 

  All of the above.

 

 Question 7The data analysis function Correlation can be used for a single or multiple data sets.

 

  True

 

  False

 

 Question 8Linear correlations will perfectly predict variable importance in a multiple regression equation.

 

  True

 

  False

 

 Question 9A correlation of .90 and above is generally considered too strong to be of any practical significance.

 

  True

 

  False

 

 Question 10The statistical significance of a correlation is determined by a t-statistic.

 

  True

 

  False

 

 

 

BUS308 Statistics for Managers

 

Week 5 Quiz  

 

Question 1The probability that the actual population mean will be outside of a 98% confidence interval is

 

  1%

 

  2%

 

  4%

 

  5%

 

 Question 2All statistically significant outcomes have practical significance for decision makers.

 

  True

 

  False

 

 Question 3The percent confidence interval is the range having the percent probability of containing the actual population parameter.

 

  True

 

  False

 

 Question 4One use of the effect size measure is to help us understand why the null hypothesis was not rejected.

 

  True

 

  False

 

 Question 5The Effect Size measure provides no real practical value in interpreting statistical test outcomes when rejecting the null hypothesis.

 

  True

 

  False

 

 Question 6The values defining a large, medium, and small effect are similar across all effect size measures.

 

  True

 

  False

 

 Question 7For a one sample confidence interval, the interval is calculated around the calculated sample mean.

 

  True

 

  False

 

 Question 8One use of the effect size measure is to help us understand why the null hypothesis was rejected.

 

  True

 

  False

 

 Question 9A “small” sample size value means

 

  the null hypothesis rejection was most likely due to the sample size.

 

  the null hypothesis rejection was most likely due to the variables

 

  the rejection of the null hypothesis demonstrates practical significance.

 

  None of these.

 

 Question 10A small effect size result would argue against using the results of a test that found a statistically significant difference in any decision making.

 

  True

 

  False

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