Survey
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
CIS 464 Quiz 1 - Sample Fall 2005 Course Pack pp: 1-45 Athappilly Max. Points 50 Name: ____________________, __________________ (Last, First) SS#:______________ (Last 4 Digits) Choose the Best Answer 1. Business intelligence is an answer to the _____________’ timely and pertinent information demands a. Technocrats b. Senior Executives* c. Supervisors d. Blue collar workers 2. The most basic element of a business intelligence architecture is: a. A reporting engine b. Scheduling facility c. Data accessing method d. A common suite of interfaces 3. The immediate intended result of data mining is: a. Decision making b. Discovery of knowledge* c. Data base queries d. Information processing --------------------------------------------------------------------------------------------------------Figure 1: A gains-curve showing the result of a mail survey. “can hit 80% of buyers from 35% of mailing Y 100 P 50 X 0 35 50 100 X => cumulative % of customers. Y => cumulative % responded positively. Diagonal OP => expected cumulative % positive responders. 4. The gains curve indicates that: a. The gains from 35% of the sampling will be negative customer responses. b. The gains from 80% of the sampling will be positive customer responses. c. The gains from 80% of sampling are 35% positive customer responses. d. The gains from 35% of sampling are 80% positive customer responses. 5. The first phase of CRISP- Strategy for data mining is: a. data understanding b. data preparation c. business understanding* d. modeling 6. Understanding the data source, variables and the characteristics of the variables belongs to ________ of CRISP model. a. data understanding* b. data preparation c. business understanding d. modeling 7. Evaluating results, reviewing the data mining process, and determining the next steps belongs to ________ of CRISP model. a. modeling b. data preparation c. evaluation* d. deployment 8. Main branches of statistics include: a. descriptive, analytical, and inferential b. descriptive, analytical, and design and analysis of experiments c. descriptive, categorical, and inferential d. descriptive, inferential, and design and analysis of experiments* 9. This particular branch of statistics deals with the study sample data in order to infer characteristics of the population a. inferential* b. analytical c. descriptive d. design and analysis of experiments 10. The four elements of statistics does NOT include: a. population b. sample c. tabulation* d. measures for the reliability of the inferences 11. Measurement scales for statistics are broadly divided into four. They are: a. nominal, ordinal, interval, and ratio* b. nominal, demographic, interval, and ratio c. nominal, ordinal, continuous, and ratio d. nominal, ordinal, interval, and graphical 12. The numbers in this _________ measurement scale indicates that they are different and not greater or smaller a. Nominal* b. ordinal c. continuous d. ratio 13. Equal numbers reflecting equal differences in the amounts of the attributes are measured in _______ scale. a. nominal b. ordinal c. interval* d. ratio 14. Sum of the probabilities of an event must be: a. 100%* b. less than 1 c. greater than 1 d. not equal to one. 15. While stating hypotheses for statistical research on the effectiveness of drug A and drug B, the null hypothesis may be written as: a. there is no difference between the null and alternate hypotheses b. there is a difference between the null and alternate hypotheses c. there is a difference between the effectiveness of drug A and Drug B d. there is no difference between the effectiveness of drug A and Drug B* 16. In the case of a 2 test for instance, if the value of 2Computed > 2Table at = 0.05, then a. we reject the Null Hypothesis at 95% confidence level.* b. we accept the Null Hypothesis at 95% confidence level. c. we reject the Null Hypothesis at 5% confidence level. d. we accept the Null Hypothesis at 5% confidence level. 17. If the population mean is 100 and the population standard deviation is 25, then the standard deviation of the sampling distribution of 625 cases is: a. 1* b. 9 c. 4 d. 3 --------------------------------------------------------------------------------------------------------Figure 3: Crosstabulation of POLVIEWS and CLASS with Row Percentages Added 18. From Figure 3, we infer that conservative consider themselves to be middle or upper class a. 33.7% b. 62.7%* c. 3.6% d. 100% 19. From Figure 3, we see that liberals constitute ________ percentage of the total sample size a. 6.1 b. 43.5 c. 50.4 d. 23.9* Figure 4: The Chi-Square Tests Window for the variables in Figure 3 -----------------------------------------------------------------------------------------------------------20. The Pearson chi-square value 0.008 in Figure 4 indicates that the prediction about the relationship between variables given in Figure 3 is wrong a. 0.8% of the times* b. 8% of the times c. 80% of the times d. 99.2% of the times 21. Find the total area from the Z-chart for P(Z> -0.48) a. 0.3106 b. –0. 3106 c. 0.8106* d. -0.8106 22. If the mean and standard deviation of a normal distribution are zero and one, that distribution is called: a. Perfect normal distribution b. Abnormal distribution c. Standard normal distribution* d. Small normal distribution 23. For this question, find the values form the Table up to second decimal by rounding). For a normal distribution of hourly rates with mean = $50 and SD = $8 what percentage of people earn salary between $45 and $65 ? a. 25 b. 47 c. 71* d. 54 24. For a normal distribution of hourly rates with a mean = $50 and SD = $15 what percentage of the employees will receive an hourly salary less than $65? a. 95 b. 99 c. 68* d. 34 25. In a Normal Distribution the values of the three statistical measures, namely, ---------------------- are the same. a. Mean, range, mode b. Mean, standard deviation and variance c. Mean, standard deviation and median d. Mean, mode, and median*