Construct a frequency distribution for payment method

Assignment Help Advanced Statistics
Reference no: EM132039

Use the following information for Questions 1 -10

Customer Gender Payment Amount Purchased
1 Female Cash $23.26
2 Female Credit $23.38
3 Female Credit $12.50
4 Male Cash $10.65
5 Male Debit $5.48
6 Female Credit $10.81
7 Male Cash $17.29
8 Female Credit $24.20
9 Female Debit $19.37
10 Female Credit $11.14
11 Male Cash $10.87
12 Male Credit $11.43
13 Female Cash $18.65
14 Male Credit $23.57
15 Male Cash $17.19
16 Female Debit $6.84
17 Female Credit $13.60
18 Female Debit $10.50
19 Male Cash $16.26
20 Female Credit $12.90

Question 1) Which of the following variables are quantitative?

A.    Payment Method

B.     Gender

C.     Amount Purchased

D.    Payment Method and Gender

Question 2) Which of the following variables is measured on the nominal scale?

A.    Amount Purchased

B.     Customer

C.     Gender

D.    Payment method and Gender

Question 3) This data most likely came from?

A.    Focus group

B.     Direct observation

C.     Experiment

D.    Survey

Question 4) Assume the data was collected by randomly selecting 20 customers, data collected represents?

A.    Sample data

B.     Population and Time Series data

C.     Inferential data

D.    Time Series data

Question 5) Construct a frequency distribution for Payment method, how many customers paid with a credit card?

A.    9

B.     7

C.     6

D.    5

Question 6) Based on the cross tabulation table of gender vs. amount purchased, which of the following statements is true?

A.    The amount of purchase (in dollars) by males and females is about the same

B.     Females purchased more (in dollars) than males

C.     Males purchased more (in dollars) than females

D.    None of the above is correct

Question 7) Which cross-tabulation table is correct?

1197_Construct a frequency distribution for Payment method.png

8)      Which of the following stem and leave displays for amount purchased is correct? You may use PHStat2.

1959_Construct a frequency distribution for Payment method1.png

 

Question 9) Which two variables would be appropriate to plot in a scatter diagram?

A.    Gender and payment method

B.     Customer and amount purchased

C.     Amount purchased and loyalty club

D.    None of the above is correct

Question 10) If you were to construct a frequency distribution for amount purchased, what would be the class width using method recommended in your book?

A.    2

B.     3

C.     4

D.    5

Use the following data to answer questions 11-15:

A sample of employees participated in a survey of job satisfaction provided information about their hourly wages as the following:

28

11

28

19

28

15

14

13

23

29

14

21

29

27

29

17

23

24

18

22

28

22

28

19

26

25

11

27

20

18

28

13

18

27

23

22

28

12

16

11

16

23

15

15

23

28

27

11

22

26

Question 11) What is the median hourly wage of employees participating in this survey?

A.    21.5

B.     22

C.     22.5

D.    None of the above

Question 12) What is the 70th percentile of the employee hourly wages? Use the method explained in textbook for answering this question.

A.    26

B.     26.3

C.     26.5

D.    27

Question 13) What is the standard deviation of hourly wages for this sample of employees?

A.    35.22

B.     24.8

C.     6.18

D.    5.96

Question 14) For this sample, what is the minimum number of employees who might receive a salary within two standard deviations from the mean? Use Chebyshev's Theorem to answer this question and round answer to nearest integer.

A. 38
B. 8
C. 12
D. 13

Question 15) A second sample of same size is taken from the same group of employees. It has the same mean and standard-deviation as the earlier sample, but now we assume that hourly wages are bell-shaped. Use the Empirical Rule, to find for the second sample, the maximum number of employees you would expect to receive a wage at least two standard deviations above the mean. Round your answer to the nearest integer.

A. 1
B. 2
C. 3
D. 4

Use this information to answer questions 16 and 17:

AFC trucking Inc. keeps mileage records when changing tires to determine the average life of each brand, in order to optimize their costs of purchasing and replacing tires.  Lifetime of a tire depends on quality of the tire, quality of the road, temperature, and weight of the cargo.  During the past 12 months AFC have collected data about a new type of BFGoodrichtires, summarized as the following:

Mileage used

Number of tires

40000 to under 45000

175

45000 to under 50000

173

50000 to under 55000

170

55000 to under 60000

160

60000 to under 65000

209

65000 to under 70000

229

Question 16) What is the average life of each tire? 

A.    Less than 50,000 miles

B.     Greater than or equal to 50,000 but less than 55,000 miles

C.     Greater than or equal to 55,000 but less than 60,000 miles

D.    Greater than or 60,000 miles

Question 17) What is the standard deviation of recorded mileages for these tires?

A.    Less than 7,000 miles

B.     Greater than or equal to 7,000 but less than 7,500 miles

C.     Greater than or equal to 7,500 but less than 8,000 miles

D.    Greater than 8,500 miles

Use the following data to answer questions 18-20:

This table listsALLice cream flavors sold at Hayley's Ice Cream shop in Okoboji, Iowa and the number of gallons of eachsold duringthis year and last year's summer.


Flavor

Total Gallons Sold ThisSummer

Total Gallons Sold Last Summer

Vanilla

                  37,259

                  55,343

Chocolate

                107,948

                  76,855

Strawberry

                  25,539

                  22,436

Maple Walnut

                  15,618

                  11,432

Praline

                  19,512

                  14,609

Butter Pecan

                   8,836

                  16,253

Chocolate Chip

                  36,889

                  35,395

Mint Chocolate Chip

                  16,167

                  18,935

Cookie Dough

                  24,674

                  23,443

Rocky Road

                  18,103

                  16,496

Fudge Swirl

                  21,637

                  18,394

Peach

                  21,979

                  23,504

Question 18) Find the interquartile range (IQR) for last year sales of different flavors, using the manual method discussed in your textbook.  This value is:

A.    Less than 12,000

B.     Greater than or equal to 12,000 but less than 13,000

C.     Greater than or equal to 13,000 but less than 14,000

D.    Greater than 14,000

Question 19) Consider this year's sales only. What is the Z score for Maple Walnut flavor sales?

  1. Less than 0.5
  2. Greater than or equal to 0.5 but less than 0.6
  3. Greater than or equal to 0.6 but less than 0.7
  4. Greater than 0.7

Question 20)  Which year's sales statistics are more consistent?

  1. Last summer, because variance of sales for last summer is smaller than this year's sales
  2. Current summer, because standard deviation of sales is greater than last year's sales          
  3. Current summer, because coefficient of variation for current summer is greater than last year
  4. Last summer, because coefficient of variation for this summer is greater than lastsummer

Use the following information for Questions 21 - 22. Carry out calculations to 4 decimals.

In developing their warranty policy, an automobile company estimates that over a 1-year period 17% of their new cars will need to be repaired once, 7% will need repairs twice, and 4% will require three or more repairs. You and your spouse each buy a new car.

Question 21)  What is the probability that both will need repair in the first year?

A.    0.0784

B.     0.4816

C.     0.5184

D.    0.56

E.     0.96

Question 22)  What is the probability that at least one car will need repair in the first year?

A.    0.0784

B.     0.4816

C.     0.5184

D.    0.56

E.     0.96

Use the following information for Questions 23 - 24.

A GfK Roper Worldwide survey in 2005 asked consumers in 5 countries whether they agreed with the statement "I am worried about the safety of the food I eat." Here are the responses classified by the age of the responded. If we select a person at random from this sample:

 

 

Agree

Neither Agree nor Disagree

Disagree

Don't Know/ No Response

Total

Age

13-19

661

368

452

32

1513

20-29

816

365

336

16

1533

30-39

871

355

290

9

1525

40-49

914

335

266

6

1521

50+

966

339

283

10

1598

Total

 

4228

1762

1627

73

7690

Question 23)  What is the probability that the person is younger than 50 years oldand agrees with the statement?

  1. 0.9178
  2. 0.7922
  3. 0.7715
  4. 0.5498
  5. 0.4242

Question 24)  What is the probability that the person is younger than 50 years old or agrees with the statement?

  1. 0.9178
  2. 0.7922
  3. 0.7715
  4. 0.5498
  5. 0.4242

Use the following information for Questions 25 - 27.

Personal electronic devices are getting smaller all the time. Manufacturing components for these devices is a challenge, and at the same time, consumers are demanding more and more functionality and increasing sturdiness. Microscopic and even submicroscopic flaws can develop during their fabrication that can blank out pixels on the screens or cause intermittent performance failures. Defects will always occur, so the quality engineer in charge of the production process must monitor the number of defects and take action if the process seems out of control.

An engineer is called down to the production line because the number of defects has crossed a threshold and the process has been declared to be out of control. She must decide between two possible actions. She knows that a small adjustment to the robots that assemble the components can fix a variety of problems. But for more complex problems, the entire production line needs to be shut down in order to pinpoint the problem. The small adjustment requires that production be stopped for about an hour. But shutting down the line takes at least an entire shift (8 hours). Naturally, her boss would prefer that she make the small adjustment. But without knowing the source or severity of the problem, she can't be sure whether that will be successful. The engineer uses her knowledge of probability to predict whether the small adjustment will work.

Based on her experience, the engineer thinks that there are three possible problems: (1) the motherboards could have faulty connections, (2) the memory could be the source of the faulty connections, or (3) some of the cases may simply be seating incorrectly in the assembly line. She knows from past experience how often these types of problems crop up and how likely it is that a small adjustment will fix each type of problem.

Motherboard problems are rare (10%). Memory problems have been showing up about 30% of the time. Case alignments issues occur most often (60%).

The engineer knows the probability is only 0.1 that asmall adjustment will fix the problem if it is due to motherboard. Also, she and her team assess the probability that a small adjustment will fix the problem to be 0.5 if it is due to memory and 0.8 if it is due to case alignment.

The engineer is called to the line because the number of defects has exceeded the threshold.

Question 25)  What is the probability that it is a motherboard problem and cannot be fixed with a small adjustment?

A.    0.01

B.     0.09

C.     0.20

D.    0.90

E.     1.00

Question 26)  Estimate the probability that the problem can be fixed with a small adjustment to the robots.

  1. 0.40
  2. 0.04
  3. 0.64
  4. 1.40

Question 27)  Assume she makes the small adjustment to the robots and the problem is fixed. What is the probability that the problem was with the cases?

  1. 0.33
  2. 0.48
  3. 0.50
  4. 0.75

Use the following information to answer Questions 28 - 30.

A Human Resource office is drafting an online job application for a particular position within the company. A part of the form lists 3 categories, each with several options under it.

Second Language Skills

Logic/Reasoning Skills

Computer Skills

French

Critical Thinking

Excel

Spanish

Complex Problem Solving

Access

Chinese

Analytical Reasoning

SAS

 

Judgment/Decision Making

SAP

 

Mathematics

 

Question 28)  In one part of the form the applicant is instructed to mark his/her strength in each category (one mark under each category).How many different ways are possible for an application to be marked?

A.    12

B.     60

C.     220

D.    1320

Question 29)  In a different part of the form, the applicant is instructed to consider the Logic/Reasoning Skills set and pick 2 of the 5 listed which best represent his abilities. How many different ways can a random applicant answer that question?

A.    10

B.     20

C.     25

D.    32

Question 30)  In a different part of the form, the applicant is instructed to consider the Computer Skills set and list the #1 and #2 software in which he is most proficient. How many different ways can a random applicant answer this question?

A.    6

B.     8

C.     12

D.    16

Use the following data for problems 31 to 33.

At Dan's Super Deal used car dealership they have collected the following data showing the probability of selling 0 to 5 used cars each day.

Number of cars sold

Probability

 

 

 

 

0

.05

 

 

 

 

1

.05

 

 

 

 

2

.1

 

 

 

 

3

.2

 

 

 

 

4

.4

 

 

 

 

5

.2

 

 

 

 

Question 31)  What is the expected number of cars sold each day? Select the answer closest to your computation.

A.    2.50

B.     3.45

C.     0.17

D.    4.00

Question 32)  What is the probability that Dan's will sell at least 3 cars on a randomly selected day? Select the answer closest to your computation.

A.    0.80

B.     0.60

C.     0.40

D.    0.20

Question 33)  What is the standard deviation for the number of cars sold each day? Select the answer closest to your computation.

A.    2.50

B.     1.75

C.     1.87

D.    1.32

Use the following information to answer Q34 - Q37.

The HR department at a company has established that the probability an intern is offered a permanent position is 0.65. Eight interns startin the fall semester. Assume binomial distribution.

Question 34)  How many of those interns do you expect to be offered a full time position?

A.    6

B.     8

C.     5.2

D.    2.8

 

Question 35) What is the probability that no more than 5 interns are offered full time positions? Select the answer closest to your computation.

A.    0.2786

B.     0.5722

C.     0.7064

D.    0.4278

Question 36) What is the probability that 4 interns are offered a full time position? Select the answer closest to your computation.

  1. 0.1875
  2. 0.2936
  3. 0.5000
  4. 0.6500

Question 37) What is the probability that 2 interns are NOT offered a full time position? Select the answer closest to your computation.

A.    0.0217

B.     0.0253

C.     0.9783

D.    0.2587

Question 38) Customers join the waiting line of a post office at average rate of 3 customers per minute.  What is the probability of exactly 6 customers arriving into the post office within the next twominutes? Select the answer closest to your computation.

A.    0.2240

B.     0.1606

C.     0.0984

D.    0.0194

Question 39)  Average number of students asking for help at the library circulation desk is five per minute.  What is the probability of at least 4 students asking questions within the next minute? Select the answer closest to your computation.

A.    0.7350

B.     0.5595

C.     0.2340

D.    0.1754

Question 40)  This is Sam's senior year at college and he is sending applications to potential employers.  There is a3% chance for each application to get a job offer.  Sam has already sent 85 applications.  What is the probability of receiving at least 4 job offers? Select the answer closest to your computation.

  1. 0.54
  2. 0.25
  3. 0.12
  4. 0.02

Use the following data for problems 41 to 45.

The average finishing time at the 2013 Northshore inline marathon was approximately 2 hours and 24 minutes.  The standard deviation was approximately 32.5 minutes.  Assume the finishing times are normally distributed.

Question 41)  If a skater wants to finish in the top 10% of the fastest times, what time does the skater need?

A.    102.4 minutes

B.     190.3 minutes

C.     176.5 minutes

D.    210.4 minutes

Question 42) What is the probability of finishing in less than 1 hour and 50 minutes?

A.    0.18

B.     0.15

C.     0.85

D.    0.72

Question 43)  What is the probability of finishing in exactly 144 minutes?

A.    0.50

B.     0.67

C.     0.15

D.    0.00

Question 44)  If Jennifer finishes in 2 hours and 1100 skaters were in the race approximately, what place did Jennifer get in the race?

A.    253rd place

B.     302nd place

C.     178th place

D.    Can't determine from the information provided

Question 45)  What is the probability of finishing in more than 2 hours and 15 minutes?

A.    0.84

B.     0.61

C.     0.58

D.    0.39

Use the following data for problems 46 and 47

While play is going on in a football game customers arrive at the hotdog stand on average every 3 minutes.  Assume the arrival time follows the exponential distribution.

Question 46)  What is the probability that the next customer will arrive within the 2 minutes?

A.    0.48

B.     0.25

C.     0.52

D.    0.85

Question 47)  What is the probability that the next customer will arrive in between 1 and 3 minutes?

A.    0.28

B.     0.65

C.     0.62

D.    0.35

Use the following data for problems 48, 49 and 50

Finish times at the Rollin on the River inline marathon follow a uniform distribution between 1 hour 18 minutes and 3 hours 12 minutes.

Question 48)  What is the mean completion time?

A.    2  hours

B.     2 hours 42 minutes

C.     2 hours 15 minutes

D.    1 hours 48 minutes

Question 49)  What is the probability of finishing the race in less than 2 hours 5 minutes?

A.    1.00

B.     0.61

C.     0.59

D.    0.41

Question 50)  What is the probability of finishing the race between 1 hour 52 minutes and 2 hours 22 minutes?

A.    0.26

B.     0.00

C.     0.74

D.    0.39

Reference no: EM132039

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