QNT 275 Week 5 Final Exam

QNT 275 Week 5 Final Exam Link

https://uopcourses.com/category/qnt-275-exam/
QNT 275 Week 5 Final Exam Link

https://uopcourses.com/category/qnt-275-exam/

 

 

A quantitative variable is the only type of variable that can

 

have no intermediate values

 

assume numeric values for which arithmetic operations make sense

 

be graphed

 

be used to prepare tables



 

 

 



 
 
 
A qualitative variable is the only type of variable that




can assume numerical values
 


cannot be graphed
 


can assume an uncountable set of values
 


cannot be measured numerically
 

 

 

the cumulative frequency distribution of the commuting time (in minutes) from home to work  
 
The following table gives the cumulative frequency distribution of the commuting time (in minutes) from home to work for a sample of 400 persons selected from a city.

Time (minutes)
f
0 to less than 10
66
0 to less than 20
148
0 to less than 30
220
0 to less than 40
294
0 to less than 50
356
0 to less than 60
400
The sample size is:



The percentage of persons who commute for less than 30 minutes, rounded to two decimal places, is:

%

The cumulative relative frequency of the fourth class, rounded to four decimal places, is:



The percentage of persons who commute for 40 or more minutes, rounded to two decimal places, is:

%

The percentage of persons who commute for less than 50 minutes, rounded to two decimal places, is:

%

The number of persons who commute for 20 or more minutes is:



 

 

 

 

 



 
 
 
The temperatures (in degrees Fahrenheit) observed during seven days of summer in Los Angeles are

78,99,68,91,97,75,85

 

The range of these temperatures is:

 

The variance of these temperatures, rounded to three decimals, is:

 

The standard deviation, rounded to three decimals, of these temperatures is:

 

 

 

 

 
 
 
 
The following table gives the two-way classification of 500 students based on sex and whether or not they suffer from math anxiety

 
Suffer From Math Anxiety
 

Sex
Yes
No
Male
151
89
Female
184
76
 

If you randomly select one student from these 500 students, the probability that this selected student is a female is: (round your answer to three decimal places, so 0.0857 would be 0.086)

 

If you randomly select one student from these 500 students, the probability that this selected student suffers from math anxiety is: (round your answer to three decimal places, so 0.0857 would be 0.086)

 

If you randomly select one student from these 500 students, the probability that this selected student suffers from math anxiety, given that he is a male is: (round your answer to three decimal places, so 0.0857 would be 0.086)

 

If you randomly select one student from these 500 students, the probability that this selected student is a female, given that she does not suffer from math anxiety is: (round your answer to three decimal places, so 0.0857 would be 0.086)

 

Which of the following pairs of events are mutually exclusive?

 




Male and no
 


No and yes
 


Male and yes
 


Female and yes
 


Female and male
 


Female and no
Are the events "Has math anxiety" and "Person is female" independent or dependent? Detail the calculations you performed to determine this.



dependent

 

 

 

 

 
 
For the probability distribution of a discrete random variable x, the sum of the probabilities of all values of x must be

 




equal to 1
 


equal to zero
 


in the range zero to 1
 


equal to 0.5
 

 

 
 
The following table lists the probability distribution of a discrete random variable x

x
2
3
4
5
6
7
8
P(x)
0.15
0.3
0.24
0.13
0.1
0.06
0.02
 

The mean of the random variable x is:

 

The standard deviation of the random variable x, rounded to three decimal places, is:

 

 

 

 

 

 

 

 

 

 

 
 
The daily sales at a convenience store produce a distribution that is approximately normal with a mean of 1270 and a standard deviation of 136

 

The probability that the sales on a given day at this store are more than

1,405, rounded to four decimal places, is:

 

The probability that the sales on a given day at this store are less than

1,305, rounded to four decimal places, is:

 

The probability that the sales on a given day at this store are between

1,200 and 1,300, rounded to four decimal places, is:

 

 

 

 

 

 
 
 
 
The width of a confidence interval depends on the size of the

 

population mean

 

margin of error

 

sample mean

 

none of these

 

 

 

 

 
 
A sample of size 67 from a population having standard deviation= 41 produced a mean of 248.00. The 95% confidence interval for the population mean (rounded to two decimal places) is

 

The lower limit is

The upper limit is

 

 

 

 

 
 
The null hypothesis is a claim about a

 




population parameter, where the claim is assumed to be true until it is declared false
 


population parameter, where the claim is assumed to be false until it is declared true
 


statistic, where the claim is assumed to be false until it is declared true
 


statistic, where the claim is assumed to be true until it is declared false
 

 

 

 

 

 
 
 
 
The alternative hypothesis is a claim about a




statistic, where the claim is assumed to be true if the null hypothesis is declared false
 


population parameter, where the claim is assumed to be true if the null hypothesis is declared false
 


statistic, where the claim is assumed to be false until it is declared true
 


population parameter, where the claim is assumed to be true until it is declared false
 

 

 

 

 

 

 

 
 
In a one-tailed hypothesis test, a critical point is a point that divides the area under the sampling distribution of a




statistic into one rejection region and one nonrejection region
 


population parameter into one rejection region and one nonrejection region
 


statistic into one rejection region and two nonrejection regions
 


population parameter into two rejection regions and one nonrejection region
 

 

 

 
 
In a two-tailed hypothesis test, the two critical points are the points that divide the area under the sampling distribution of a




statistic into two rejection regions and one nonrejection region
 


statistic into one rejection region and two nonrejection regions
 


population parameter into two rejection regions and one nonrejection region
 


population parameter into one rejection region and one nonrejection region
 

 

 
 
 
 
 
 
 
 
In a hypothesis test, a Type I error occurs when




a true null hypothesis is rejected
 


a false null hypothesis is rejected
 


a false null hypothesis is not rejected
 


a true null hypothesis is not rejected
 

 

 

         

In a hypothesis test, a Type II error occurs when

 

Entry field with correct answer

 

       

a false null hypothesis is not rejected

 

       

a true null hypothesis is rejected

 

       

a true null hypothesis is not rejected

 

       

a false null hypothesis is rejected

 

 

 

 

 

         

In a hypothesis test, the probability of committing a Type I error is called the

 

Entry field with correct answer

 

       

confidence interval

 

       

significance level

 

       

beta error

 

       

confidence level
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