STATISTICAL ANALYSIS

1.A STUDENT WAS INTERESTED IN THE CIGARETTE SMOKING HABITS OF COLLEGE SUDENTS AND COLLECTED DATA FROM AN UNBIASED RANDOM SAMPLE OF STUDENTS. THE DATE IS SUMMARIZED IN THE FOLLOWING TABLEMALES SURVEYED  50          FEMALES SURVEYED  75MALES WHO SMOKE 20     FEMALES WHO SMOKE  25MALES WHO DO NOT SMOKE 30  FEMALES WHO DO NOT SMOKE  50WHY IS THE TALBE NOT A FREQUENCY DISTRIBUTIONA.THE NUMBER OF MALES DOES NOT EQUAL THE SUM OF MALES THAT SMOKE AND DO NOT SMOKEB.THE CLASSES ARE NOT MUTUALLY ESCLUSIVEC.THERE ARE TOO MANY CLASSESD.CLASS LIMITS CAN NOT BE COMPUTED2. THE MAIN PURPOSE OF DESCRIPTIVE STATISTICS IS TOA. A DATA IN A USEFUL AND INFORMATIVE MANNERB.MAKE INFERENCES ABOUT A PROBLEMC.DETERMINE IF THE DATA ADEQUATELY REPRESENTS THE POLPULATIOND.GATHER OR COLLECT DATA3. A POLL OF 1,OOO VOTES USED TO PREDICT THE OUTCOME OF A STTEWIDE ELECTION IS AN EXAMPLE OFA .A DESCRIPTIVE STATISTICSB. CONTINUOUS VARIABLE MEASUREMENTSC.STATISTICAL INFERENCED.DEDUCTIVE STATISTICS4. THE NUMBER OF FISHING BOATS SHIPPED FROM A MANUFACTURERTO A DEALER EACH MONTH IS DESCRIBED AS AA.RANDOM VARIABLEB.QUALITATIVE VARIABLEC.DISCRETE VARIABLEC.CONTINUOUS VARIABLE5. THE KINDS OF NUMBERS THAT CAN TAKE ON ANY VALUE, EITHER A FRACTION OR INTEGER, BETWEEN SPECIFIED LIMITS ARE CALLEDA.RANDOM VARIABLES B.QUALITATIVE VARIABLESC.DISCRETE VARIABLESD.CONTINUOUS VARIABLES6.WHICH OF THE FOLLOWING IS AN EXAMPLE OF A QUALITATIVE VARIABLEA.NUMBER OF CHLDREN IN A FAMILYB.WEIGHT OF A PERSONC.COLOR OF INK IN A PENC.MILES BETWEEN OIL CHANGES7. DATA OBTAINED ON THE PREFERENCES OF DIFFERENT RELIGIOUS GROUPS FOR SPECIFIC TYPES OF NETWORK TELEVISION PROGRAMMING IS AN EXAMPLE OFA.RANDOM VARIABLESB.QUALTATIVE VARIABLESC.DISCRETE VARIABLESD.CONTINOUS VARIABLES8.__________LEVEL DATA ARE MUTUALLY ESCLUSIVE AND ESHAUSTIVE, AND CATEGORIES ARE SCALED ACCORDING TO THE AMOUNT OF THE CHARACTERISTIC THEY POSSESS, AND ZERO REPRESENTS A POINT ON THE SCALE.A.NOMINALB.ORDINALC.INTERVALD.RATIO9.A BANK ASKS CUSTOMERS TO EVALUATE THE DRIVE-THROUGH SERVICE AS GOOD,AVERAGE,OR POOR. WHICH LEVEL OF MEASURMENT DOES THIS CLASSIFICATION ILLUSTRATEA. NOMINALB.ORDINALC.INTERVALD.RATIO10.INFORMATION CAN BE MISREPRESENTEDA. THROUGH MISLEADING CHARTS AND GRAPHSB.BY REPORTING OF AN ASSOCIATON OF VARIABLES AS CAUSATIONC.BY PRESENTING AVERAGE DATA THAT MISREPRESENTS SAMPLE OF POPULATION DATAC.ALL OF THE ABOVE11.THE FIRST PROCEDURE WE USE TO DESCRIBE A DATA SET ISA.DIFFERENTIATIONB.CLASSIFICATIONC.DATA CORRELATIOND.FRQUENCY DISTRIBUTON12.THE NUMBER O OBSERVATIONS IN EACH CLASS IS CALLED THEA.DATA SETB. CLASS SIZEC. CLASS FREQUENCYD. CLASS INTERVAL13.WHICH OF THE FOLLOWING IS NOT A STEP USED TO ORGANIZE DATA INTO A FREQUENCY DISTSRIBUTIONA. DECIDE ON THE NUMBER OF CLASSESB DETERMINE THE CLASS INTERVALC.PREPARE THE RAW DATAC. SET TEH INDIVIDUAL CLASS LIMITS14.THE __________CAN BE COMPUTED BY ADDING THE LOWER CLASS LIMIT TO THE UPPER CLASS LIMIT AND DIVIDING BY 2A. CLASS MIDPOINTB. CLASS INTERVALC. CLASS MARKD. CLASS SIZE15. A SET OF DATA CONSISTS OF 38 OBSERVATIONS. HOW MANY CLASSES WWOULD YOU RECOMMEND FRO THE FREQUENCY DISTRIBUTIONA 4B 5C.6D. 816. A _________IS ESPECIALLY USEFUL FOR DEPICTING NOMINAL LEVEL DATAA. BAR CHARTB. LINE CHARTC. HISTOGRAMD. PIE CHART17. A SET OF DATA CONSISTS OF 230 OBSERVATIONS BETWEEN \$235 AND \$ 567. WHAT CLAS INTERVAL WOULD YOU RECOMMENDA. 15B. 25C. 45D. 5018 BOTH THE _________AND THE______ ALLOW US TO GET A QUCK PICTURE OF THE MAIN CHARACTERISTICS OF THE DATAA. FREQUENCY DISTRIBUTION CHART, POLYGRAPHB. HISTOGRAM, FREQUENCY POLYGONC. PIE CHART, LINE CHARTD. HORIZONTAL BAR CHART, VERTICAL BAR CHART19. A SET OF DATA OF 83 OBSERVATIONS. HOW MANY CLASSES WOULD YOU RECOMMEND FOR THE FREQUENCY DISTRIBUTIONA. 5B. 6C. 7D. 820. A STEM-AND-LEAF DISPLAY IS AN ALTERNATIVE TO AA. HISTOGRAMB. FREQUENCY DISTRIBUTIONC. FREQUENCY POLYGOND. HORIZONTAL BAR CHART.