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1. For each of the following, indicate whether the data is measured on a nominal

ID: 3366740 • Letter: 1

Question


1.  For each of the following, indicate whether the data is measured on a nominal, ordinal, interval, or ratio scale.
_______ a)  waist sizes of 65-year-old men 

_______ b) amount of alcohol in a can of Budweiser beer 

_______ c) countries of origin of CUNY students

_______ d) temperature in centigrade of Starbuck's coffee 

_______ e) religions of CUNY college students 

_______ f) social class of CUNY students 

_______ g) weights of 65-year-old women 

_______ h) IQ of CUNY students 

_______ i) scores on the CPA exam for CUNY students 

_______ j) speeds of fastballs thrown by American League pitchers 

_______ k) strength categories of hurricanes (1, 2, ..., 5) 

_______ l) genders of Wal-Mart employees  

_______ m) rank of college professors (Instructor, Assistant Professor, Associate Professor, Full Professor) 

_______ n) class standing of CUNY students (Freshman, Sophomore, ... ) 

2.  Indicate  which of the following are discrete measurements and which are continuous measurements:

 ___ ___ a) the number of defective laptops in batches of 30

 ___ ___ b) life of a Duracell battery

 ___ ___ c) mileage of Toyota Prius cars

 ___ ___ d) weight of guinea pigs

 ___ ___ e) span of butterfly wings

 ___ ___ f) number of left-handed people on basketball teams

 ___ ___ g) time to complete the New York City Marathon

 ___ ___ h) amount of alcohol in a can of beer

 ___ ___ i) number of foreign students in each statistics class

 ___ ___ j) height of basketball players

 ___ ___ k) number of pens in backpacks of college students

A firm wants to establish how long it is supposed to take to assemble a certain product. A random sample of 13 employees is selected and the company measures how long it takes each of them to assemble the product rounded to the nearest minute.

Data:  16;  8;  11;  9;  14;  22;  20;  16;  30;  25;  19;  16;  15

Solve the following by hand. 

You MUST show your work including the formulas and all your computations.

3. The mean is: _______

4.  The median is: _____

5.  The mode is: ______

6.  The first quartile is:  ____

7.  The third quartile is:  ____

8.  The range is: ______

9.  The IQR is: ______

10.  The variance is: ______

11.  The standard deviation is: ______

12.  The coefficient of variation is: ______

13.  Convert the 8 into a Z-score:  _______

14.  Convert the 30 into a Z-Score _______

15.  Which of the following is not a measure of location? 

(a) mean   (b) median   (c) variance   (d) percentile    (e) quartile  

16.  Which of the following statements is false? 

(a) the median is a measure of central tendency 

(b) quartiles are not measures of central tendency 

(c) the 50th percentile is the median 

(d) an extreme value is likely to have a greater effect on the median than the mean

(e) the 25th percentile is the first quartile (Q1) 

Indicate which of the following is a parameter and which is a statistic:

 ___ ___ 17) sample mean

 ___ ___ 18) population standard deviation

 ___ ___ 19) sample standard deviation

 ___ ___ 20) population variance

 ___ ___ 21) population median

 ___ ___ 22) population mean

 For each of the following, indicate the appropriate statistical measures that may be used for analysis (e.g., proportions, median, quantiles, mode, mean, ...).  List as many as are appropriate.

23) For data measured on a nominal scale, you may use: ___________________________

24) For data measured on an ordinal scale, you may use: ___________________________

25) For data measured on an interval scale, you may use: ___________________________

Can you answer #'s 1-25?

Explanation / Answer

2. Indicate which of the following are discrete measurements and which are continuous measurements:

a) Discrete
b) Continuous
c) Continuous
d) Continuous
e) Continuous
f) Discrete
g) Continuous
h) Continuous
i) Discrete
j) Continuous
k) Discrete

since

A discrete variable is a variable which can only take a countable number of values.

A continuous random variable is a random variable where the data can take infinitely many values.