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
r²
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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