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QUESTION 1 1. The ________ component of a time series measures the fluctuations

ID: 3374538 • Letter: Q

Question

QUESTION 1

1.     The ________ component of a time series measures the fluctuations in a time series due to economic conditions of prosperity and recession with a duration of approximately 2 years or longer.

Trend

Seasonal

Cyclical

Irregular

QUESTION 2

1.   

Assume that the current date is February 1, 2011. The linear regression model was applied to a monthly time series data based on the last 24 months' sales. (from January 2009 through December 2010). The following partial computer output summarizes the results.

Coeffficient

Estimate

t

Intercept

4.3

2.07

Slope

1.6

2.98


Determine the predicted sales for current month [February 1, 2011]. Hint: Find it from the equation of the line and plug the correct value for t.

45.9

42.7

44.3

109.1

113.4

QUESTION 3

1.     In a one-way analysis of variance with three treatments, each with five measurements, in which a completely randomized design is used, what is the degrees of freedom for treatments?

5

2

4

8

QUESTION 4

1.     This computer output summarizes the results of a one-way analysis of variance in an attempt to compare the performance characteristics of four brands of vacuum cleaners. The response variable is the amount of time it takes to clean a specific size room with a specific amount of dirt.

Hint: Refer to our week 3 chat discussion, what do you do for low p-values with respect to H0?

>

Source

SS

   df

MS

F

   p-value

>Treatment

>6.000

3

1.9998

>18.85

3.46E-05

>Error

1.486

14

>0.1061

Total

7.485

17

>Post hoc >analysis

Tukey simultaneous comparison t-values (d.f. = 14)

Brand 3

>Brand 2

Brand 4

Brand 1

1.40

2.28

2.58

2.95

Brand 3

1.40

Brand 2

2.28

4.27

Brand 4

2.58

5.38

1.35

Brand 1

2.95

Not be able to reject the null hypothesis of equal population means

Reject the null hypothesis of equal population means

Reject or fail to reject depending on the value of the t statistic.

Not be able to decide whether or not to reject the null hypothesis due to insufficient information.

QUESTION 5

1.     For the following data, find the regression equation.

Beer.xlsx

Shipments= 0.2 [Expenditures] + 4.1

Expenditures=Shipments -19.5

QUESTION 6

1.     Consider the following data. Construct xbar and R chart. Are the following values correct:

x-bar-bar

3.0818

R-bar

0.072

UCL

3.103976

UCL

0.127944

LCL

3.059624

LCL

0.016056


Coffee-QC.xlsx

True

False

QUESTION 7

1.   

Given the below binomial distribution, then the Probability of at least 0 success=1

n

p

5

0.6

True

False

QUESTION 8

1.             Given the below binomial distribution, then the Probability of at least 7 success=1

n

p

7

0.1

2.      True

3.      False

QUESTION 9

1.             Given the below binomial distribution, then the Probability of exactly 40 success=0.0015

n

p

40

0.85

True

False

QUESTION 10

1.     Given the following time series, when t=25, forecast sales=$14600

t

$Sales

1

3443

2

1112

3

3444

4

8754

5

3456

6

8765

7

4098

8

7654

True

False

QUESTION 11

1.   

for the following data: 1,2,1,2,1,2,1,2,4,3,4,3,2,3 the median is 3.25

True

False

QUESTION 12

1.     A marketing research analyst has collected data from a random sample of 100 customers who have purchased a particular “coupon special.” The 100 people spent an average of $24.57 in the store with a standard deviation of $6.60. Before performing this sampling the marketing manager claimed that average purchase by those responding to the coupon offer would be at least $25.00. What is the test z value to two places and can the manager’s hypothesis (the null hypothesis) be rejected at the 5% significance level?

0.75, reject

-0.75, do not reject

-1.64, do not reject

QUESTION 13

Two tails are involved in the determination of the critical z value in the marketing research problem above?

True

False

QUESTION 14

1.   

An analysis was performed on data relating the number of weeks of experience in a job involving the wiring of electronic components and the number of components that were rejected during the past week for 12 randomly selected workers. The analysis is as follows:

Regression Analysis

0.825

n

12

r

-0.908

k

1

Std. Error

2.636

Dep. Var.

Rejects

ANOVA table

Source

SS

df

MS

F

p-value

Regression

328.1901

1

328.1901

47.24

4.34E-05

Residual

69.4766

10

6.9477

Total

397.6667

11

Regression output

confidence interval

variables

coefficients

std. error

t (df=10)

p-value

95% lower

95% upper

Intercept

35.4648

1.7239

20.573

1.63E-09

31.6238

39.3059

Experience

-1.3867

0.2018

-6.873

4.34E-05

-1.8363

-0.9372


There is no apparent relationship between experience and rejects produced.

True

False

QUESTION 15

1.     An audio/video equipment discount store has 36 salespeople. Daily dollar sales for individual sellers employed by the store has a normal distribution with a mean of $2000 and a standard deviation of $300. The store's management is going to implement an incentive program awarding a daily bonus to any salesperson who achieves daily sales over $2150. To four decimal places what is the probability that an individual salesperson will earn a bonus on any given day?

0.3085

0.1863

0.7134

Trend

Seasonal

Cyclical

Irregular

Explanation / Answer

Question1)

The CYCLICAL is component of a time series measures the fluctuations in a time series due to economic conditions of prosperity and recession with a duration of approximately 2 years or longer.

Answer is option 3)

Question 3)

Degree of freedom ( treatments) =n-1

=3-1 =2

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