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 TABLE
MALES SURVEYED 50 FEMALES SURVEYED 75
MALES WHO SMOKE 20 FEMALES WHO SMOKE 25
MALES WHO DO NOT SMOKE 30 FEMALES WHO DO NOT SMOKE 50
WHY IS THE TALBE NOT A FREQUENCY DISTRIBUTION
A.THE NUMBER OF MALES DOES NOT EQUAL THE SUM OF MALES THAT SMOKE AND DO NOT SMOKE
B.THE CLASSES ARE NOT MUTUALLY ESCLUSIVE
C.THERE ARE TOO MANY CLASSES
D.CLASS LIMITS CAN NOT BE COMPUTED
2. THE MAIN PURPOSE OF DESCRIPTIVE STATISTICS IS TO
A. A DATA IN A USEFUL AND INFORMATIVE MANNER
B.MAKE INFERENCES ABOUT A PROBLEM
C.DETERMINE IF THE DATA ADEQUATELY REPRESENTS THE POLPULATION
D.GATHER OR COLLECT DATA
3. A POLL OF 1,OOO VOTES USED TO PREDICT THE OUTCOME OF A STTEWIDE ELECTION IS AN EXAMPLE OF
A .A DESCRIPTIVE STATISTICS
B. CONTINUOUS VARIABLE MEASUREMENTS
C.STATISTICAL INFERENCE
D.DEDUCTIVE STATISTICS
4. THE NUMBER OF FISHING BOATS SHIPPED FROM A MANUFACTURERTO A DEALER EACH MONTH IS DESCRIBED AS A
A.RANDOM VARIABLE
B.QUALITATIVE VARIABLE
C.DISCRETE VARIABLE
C.CONTINUOUS VARIABLE
5. THE KINDS OF NUMBERS THAT CAN TAKE ON ANY VALUE, EITHER A FRACTION OR INTEGER, BETWEEN SPECIFIED LIMITS ARE CALLED
A.RANDOM VARIABLES
B.QUALITATIVE VARIABLES
C.DISCRETE VARIABLES
D.CONTINUOUS VARIABLES
6.WHICH OF THE FOLLOWING IS AN EXAMPLE OF A QUALITATIVE VARIABLE
A.NUMBER OF CHLDREN IN A FAMILY
B.WEIGHT OF A PERSON
C.COLOR OF INK IN A PEN
C.MILES BETWEEN OIL CHANGES
7. DATA OBTAINED ON THE PREFERENCES OF DIFFERENT RELIGIOUS GROUPS FOR SPECIFIC TYPES OF NETWORK TELEVISION PROGRAMMING IS AN EXAMPLE OF
A.RANDOM VARIABLES
B.QUALTATIVE VARIABLES
C.DISCRETE VARIABLES
D.CONTINOUS VARIABLES
8.__________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.NOMINAL
B.ORDINAL
C.INTERVAL
D.RATIO
9.A BANK ASKS CUSTOMERS TO EVALUATE THE DRIVE-THROUGH SERVICE AS GOOD,AVERAGE,OR POOR. WHICH LEVEL OF MEASURMENT DOES THIS CLASSIFICATION ILLUSTRATE
A. NOMINAL
B.ORDINAL
C.INTERVAL
D.RATIO
10.INFORMATION CAN BE MISREPRESENTED
A. THROUGH MISLEADING CHARTS AND GRAPHS
B.BY REPORTING OF AN ASSOCIATON OF VARIABLES AS CAUSATION
C.BY PRESENTING AVERAGE DATA THAT MISREPRESENTS SAMPLE OF POPULATION DATA
C.ALL OF THE ABOVE
11.THE FIRST PROCEDURE WE USE TO DESCRIBE A DATA SET IS
A.DIFFERENTIATION
B.CLASSIFICATION
C.DATA CORRELATION
D.FRQUENCY DISTRIBUTON
12.THE NUMBER O OBSERVATIONS IN EACH CLASS IS CALLED THE
A.DATA SET
B. CLASS SIZE
C. CLASS FREQUENCY
D. CLASS INTERVAL
13.WHICH OF THE FOLLOWING IS NOT A STEP USED TO ORGANIZE DATA INTO A FREQUENCY DISTSRIBUTION
A. DECIDE ON THE NUMBER OF CLASSES
B DETERMINE THE CLASS INTERVAL
C.PREPARE THE RAW DATA
C. SET TEH INDIVIDUAL CLASS LIMITS
14.THE __________CAN BE COMPUTED BY ADDING THE LOWER CLASS LIMIT TO THE UPPER CLASS LIMIT AND DIVIDING BY 2
A. CLASS MIDPOINT
B. CLASS INTERVAL
C. CLASS MARK
D. CLASS SIZE
15. A SET OF DATA CONSISTS OF 38 OBSERVATIONS. HOW MANY CLASSES WWOULD YOU RECOMMEND FRO THE FREQUENCY DISTRIBUTION
A 4
B 5
C.6
D. 8
16. A _________IS ESPECIALLY USEFUL FOR DEPICTING NOMINAL LEVEL DATA
A. BAR CHART
B. LINE CHART
C. HISTOGRAM
D. PIE CHART
17. A SET OF DATA CONSISTS OF 230 OBSERVATIONS BETWEEN $235 AND $ 567. WHAT CLAS INTERVAL WOULD YOU RECOMMEND
A. 15
B. 25
C. 45
D. 50
18 BOTH THE _________AND THE______ ALLOW US TO GET A QUCK PICTURE OF THE MAIN CHARACTERISTICS OF THE DATA
A. FREQUENCY DISTRIBUTION CHART, POLYGRAPH
B. HISTOGRAM, FREQUENCY POLYGON
C. PIE CHART, LINE CHART
D. HORIZONTAL BAR CHART, VERTICAL BAR CHART
19. A SET OF DATA OF 83 OBSERVATIONS. HOW MANY CLASSES WOULD YOU RECOMMEND FOR THE FREQUENCY DISTRIBUTION
A. 5
B. 6
C. 7
D. 8
20. A STEM-AND-LEAF DISPLAY IS AN ALTERNATIVE TO A
A. HISTOGRAM
B. FREQUENCY DISTRIBUTION
C. FREQUENCY POLYGON
D. HORIZONTAL BAR CHART.
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