Sample marketing exam, which includes and explanation of each answer.© BrainMass Inc. brainmass.com October 25, 2018, 2:03 am ad1c9bdddf
1)I would say d. Data might be outdated if it was collected a while ago, it could be inconsistent, and it could be unreliable if it was not collected properly.
2) Reliability is the consistency of a set of measurements or measuring instrument, often used to describe a test, so A.
3) Response errors result from data that have been requested, provided, received or recorded incorrectly. The response errors may occur because of inefficiencies with the questionnaire, the interviewer, the respondent or the survey process. Reporting error does not exist, sampling error occurs when you do not have a random sample, and computation error does not fit the description, so c.
4) The mean fluctuates when there is high or low scores. Median and mode remain unaffected, so c.
5) When the mean, median and mode are all identical, then it is a perfectly symmetrical distribution (a)
6)Pareto charts are used in quality control measures, so that does not work.
A pie chart means that all of the option equal 100%, which does not fit as well.
A bar chart might not be the best since we will be looking at a large number of bars.
I think the line chart is best since you can visually see the line increase or decrease over ...
Sample marketing exam, which includes and explanation of each answer.
Questions from descriptive statistics, testing of hypothesis,ANOVA etc
1. The difference between the maximum and minimum observations in the sample is called
A. Sample Data
B. Sample Mean
C. Sample Range
D. Sample Interval
2. The area under the normal curve between z=0 and z=1 is ___ the area under the normal curve between z=1 and z=2.
A. Less than
B. Greater than
C. Equal to
D. A, B, or C above dependent on the value of the mean
E. A, B, or C above dependent on the value of the standard deviation
3. The width of a confidence interval will be:
A. Narrower for 99% confidence than 95% confidence
B. Wider for a sample size of 100 than for a sample size of 50
C. Narrower for 90% confidence than 95% confidence
D. Wider when the sample standard deviation(s) is small than when s is large.
E. None of the above.
4. Which statement is true?
A. The correlation analysis and regression analysis are not related and interchangeable
B. The correlation analysis and regression analysis are related but not interchangeable
C. The correlation analysis and regression analysis are related and interchangeable
D. All of the above
5. The management of White Industries is considering a new method of assembling its golf car. The present method requires 42.3 minutes, on the average, to assemble a cart. The mean assembly time for a random sample of 24 carts, using the new method, was 40.6 minutes, and the standard deviation of the sample was 2.7 minutes. Using the .10 level of significance, answer the following 2 questions:
a. What is the null and alternative hypothesis? is the assembly time using the new method faster?
A. H0: μ ≤ 42.3 H1: μ > 42.3
B. H0: μ = 42.3 H1: μ ≠ 42.3
C. H0: μ ≥ 42.3 H1: μ < 42.3
D. H0: μ ≤ 42.3 H1: μ < 42.3
b. Which of the following is a true statement (Use Q5) ?
A. Accept the null hypothesis
B. Accept the alternative hypothesis
C. The t value is -1.237
D. This is a two tailed test
6. Non-parametric statistics are a branch of statistics that are applied when:
A. the population is random
B. the population or sample is not normal or severely skewed
C. the population is interviewed by phone
D. non-parametric is not a branch of statistics
7. A pie chart shows the market shares of Cola products. The "slice" for Pepsi-Cola has a central angle of 90 degrees. What is their market share?
8. What would one like to know when making inference about the population based on sample data for the linear regression model?
A. If the relationship describe by the regression equation is meaningful
B. How well the equation enables one to predict values of the dependent variable
C. How useful the predictions are for decision making
D. All of the above
9. The coefficient of correlation can be in the range:
A. Between 0 and +1 (including 0 and +1)
B. Between -1 and 0 (including -1 and 0)
C. Between -1 and +1 (excluding 0)
D. Between -1 and +1 (including -1 and +1)
10. What model is used for Forecasting?
11. What does the Z- test consist of?
A. Less than 30 samples
B. More than 30 samples
C. Equal to 30 samples
D. None of the above
12. A hypothesis is a statement about:
A. An experiment
B. A population
C. A sample
D. An evaluation of a reason
13. Your manager came to you to ask you to predict the sales volume for the next three months. Which tool would you utilize?
B. Chi-squared analysis
14. All of the following are possible forecasting tools for your stocks except:
A. Moving Average
B. Time Series
15. For a symmetrical, bell-shaped frequency distribution, what percent of the observation lie within + / - three standard deviations of the mean?
A. 68 %
B. 95 %
C. 99.7 %
16.Simple Linear Regression Analysis is best described as:
a. Multiple dependent variables are examined in relation to only one independent variable.
b. Multiple dependent variables are examined in relation to only multiple independent variables.
c. One dependent variable is examined in relation to only one independent variable.
d. One dependent variable is examined in relation to multiple independent variables.
Must create a clear explanation.
Tom is a resident of Massachusetts for the last 5 years. He wants to move to either Connecticut or New Jersey where the
median income is higher than Massachusetts. The table below shows the median income for three States for the last
five years. Prepare an ANOVA test using Excel and find out whether or not the median income among three States is
statistically significant. (Make sure your computer has Data Analysis option. If not, go to Tools,click Add-Ins,
check Access links and click ) PoPoints
Process, calculations, and detailed explanations needed.
Year Connecticut New Jersy Massachusets
2004 81,891 82,406 78,312
2003 82,517 80,577 80,247
2002 82,702 78,560 78,025
2001 75,505 75,425 71,689
2000 74,537 70,697 68,846
Explain the following:
17. Today Botox is the leading nonsurgical cosmetic treatment in the United States. According to statistics released by the American Society of Plastic Surgeons, more than 1.1 million people had Botox injections for wrinkles in 2002, a 31% increase over the previous year.
I must create comments on this statement (above) from what the student has learned from doing research and evaluation tests.
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