QNT 275 Week 1 Quiz | Assignment Help | University Of Phoenix

QNT 275 Week  1 Quiz | Assignment Help | University Of Phoenix 





Question 1. Cross-section data are collected:


 

on different elements for the same variable for different periods of time   

 

on different elements at the same point in time   

 

for a qualitative variable   

 

on the same variable for the same variable at different points in time   



      Question 2. A simple random sample is a sample drawn in such a way that:


            

each member of the population has a 0.10 chance for being included in the sample

 

each sample of the same size has an equal chance of being selected

 

every tenth element of an arranged population is included

 

each member of the population has some chance of being included in the sample







       Question 3. Under inferential statistics, we study


 

how to make decisions about a mean, median, or mode

 

how a sample is taken from a population

 

the methods to make decisions about one or more populations based on sample results

 

tables composed of summary measures 




Question 4. In statistics, a population consists of:

 

all subjects or objects whose characteristics are being studied

 

a selection of a limited number of elements

 

all people living in a country

 

all people living in the area under study



          Question 5.​An independent group wants to determine if the consumption of gasoline has increased due to changes in price.  The group randomly selects 320 gas stations from 12 different states and collects data from the month of the year when gas is the cheapest and from the month of the year when gas is the most expensive.  The data shows no significant difference in gas consumption between the two months. In this example, what is the variable being studied?

 

The consumption of gasoline.

 

The 12 different states.

 

The price of gasoline.

 

The 320 gas stations chosen.




     Question 6.

 

​The Ohio lottery involves selecting 5 numbers from 5 different bins.  This is an example of sampling

 

with replacement.

 

without replacement.

 

 

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