Question

1. Each value in the data set is called a ? .

  

1. Variables whose values are determined by chance are called ? .

1. A Blank 1 consists of all subjects (human or otherwise) that are being studied.

  

1. A Blank 1 is a circle that is divided into sections or wedges according to the percentage of frequencies in each category of the distribution.

  

1. Tell whether Descriptive or Inferential Statistics has been used. In the upcoming election, it is predicted that candidate Murphy will get 52% of the votes and candidate Patterson will receive 46% of the votes.

   	1.	Descriptive
   	2.	Inferential

  

1. Tell whether Descriptive or Inferential Statistics has been used. Results of the election last week showed that candidate Patterson received 53% of the votes and candidate Murphy received 44% of the votes.

   	1.	Descriptive
   	2.	Inferential

1. Classify as nominal-level, ordinal-level, interval-level, or ratio-level data. Salaries of employees of the United Nations.

   	1.	Nominal
   	2.	Ordinal
   	3.	Interval
   	4.	Ratio

1. Classify as nominal-level, ordinal-level, interval-level, or ratio-level data. Temperatures of automobile engines.

   	1.	Nominal
   	2.	Ordinal
   	3.	Interval
   	4.	Ratio

1. Classify each variable as discrete or continuous. Capacity of water in automobile engines.

   	1.	Discrete
   	2.	Continuous

1. Classify each variable as discrete or continuous. Temperatures of airplane interiors at a given airport.

   	1.	Discrete
   	2.	Continuous

  

1. Classify each variable as qualitative or quantitative. Classification of a speaker as Excellent, Good, Fair, Poor, Very Poor.

   	1.	Qualitative
   	2.	Quantitative

1. Classify each variable as qualitative or quantitative. Number of cups of coffee sold by McDonald's in a day.

   	1.	Qualitative
   	2.	Quantitative

  

1. Identify which sampling technique was used to select the given sample. On a large University campus, students attending classes in 3 buildings on a Tuesday during the hours of 10am and 5PM were selected to complete a survey.

   	1.	Random
   	2.	Systematic
   	3.	Stratified
   	4.	Cluster

1. Identify which sampling technique was used to select the given sample. On a large college campus, faculty were selected using random numbers to determine annual salaries.

   	1.	Random
   	2.	Systematic
   	3.	Stratified
   	4.	Cluster

Answer 1

• Each value in the data set is called a sample unit.
• Variables whose values are determined by chance are called Random variables.
• A population consists of all subjects(human or otherwise) that are being studied.
• A pie chart is a circle that is divided into sections or wedges according to the percentage of frequencies in each category of the distribution.
• In prediction purpose, we generalise some result about population based on sample data. So, in this case inferential statistics has been used.
• Result of election is declared. Clearly this is done based on all population values. So, in this case descriptive statistics has been used.
• In the case of salaries of employees of the United Nations, the data have the sense of true zero (like zero salary) as well as order and the exact value between units. So, this is an example of ratio level data.
• In the case of temperature of automobile engines, the data have both the order and the exact differences between the values, but no sense of true zero (as true zero temperature does not occur, also zero Celsius does not correspond zero Fahrenheit). So, this is an example of interval level data.
• Capacity of water in automobile engines is non-negative real number. So, this variable is continuous.
• Temperatures of airplane interiors at agiven airport is non-negative real number. So, this variable is continuous.
• Classification of speaker as Excellent, Good, Fair, Poor, Very Poor reflects quality of speaker. So, it is qualitative variable.
• Number of cups of coffee sold by McDonald's in a day is non negative integer. So, it is quantitative variable.
• Here classes of different times in different buildings of different days can be considered as heterogeneous (more or less) clusters. Few clusters are selected (not samples from cluster groups) based on choosing certain day (Tuesday), certain time of classes (10 AM to 5 PM) and certain selected (3) buildings. So, this is an example of using Cluster sampling technique.
• Neither grouping into strata, cluster is done nor sample is selected using some pre defined systematic procedure. Sample is selected in purely randomised way by using random numbers. So, this is an example of Random sampling technique.