Week 2 Statistical Report
Week 2 Statistical Report
Resources: Pastas R Us, Inc. Database & Microsoft Excel®, Wk 1: Descriptive Statistics Analysis Assignment
Purpose
This assignment is intended to help you learn how to apply statistical methods when analyzing operational data, evaluating the performance of current marketing strategies, and recommending actionable business decisions. This is an opportunity to build critical-thinking and problem-solving skills within the context of data analysis and interpretation. You’ll gain a first-hand understanding of how data analytics supports decision-making and adds value to an organization.
Scenario:
Pastas R Us, Inc. is a fast-casual restaurant chain specializing in noodle-based dishes, soups, and salads. Since its inception, the business development team has favored opening new restaurants in areas (within a 3-mile radius) that satisfy the following demographic conditions:
- Median age between 25 – 45 years old
- Household median income above national average
- At least 15% college educated adult population
Last year, the marketing department rolled out a Loyalty Card strategy to increase sales. Under this program, customers present their Loyalty Card when paying for their orders and receive some free food after making 10 purchases.
The company has collected data from its 74 restaurants to track important variables such as average sales per customer, year-on-year sales growth, sales per sq. ft., Loyalty Card usage as a percentage of sales, and others. A key metric of financial performance in the restaurant industry is annual sales per sq. ft. For example, if a 1200 sq. ft. restaurant recorded $2 million in sales last year, then it sold $1,667 per sq. ft.
Executive management wants to know whether the current expansion criteria can be improved. They want to evaluate the effectiveness of the Loyalty Card marketing strategy and identify feasible, actionable opportunities for improvement. As a member of the analytics department, you’ve been assigned the responsibility of conducting a thorough statistical analysis of the company’s available database to answer executive management’s questions.
Report:
Write a 750-word statistical report that includes the following sections:
- Section 1: Scope and descriptive statistics
- Section 2: Analysis
- Section 3: Recommendations and Implementation
Section 1 – Scope and descriptive statistics
- State the report’s objective.
- Discuss the nature of the current database. What variables were analyzed?
- Summarize your descriptive statistics findings from Excel. Use a table and insert appropriate graphs.
Section 2 – Analysis
- Using Excel, create scatter plots and display the regression equations for the following pairs of variables:
- “BachDeg%” versus “Sales/SqFt”
- “MedIncome” versus “Sales/SqFt”
- “MedAge” versus “Sales/SqFt”
- “LoyaltyCard(%)” versus “SalesGrowth(%)”
- In your report, include the scatter plots. For each scatter plot, designate the type of relationship observed (increasing/positive, decreasing/negative, or no relationship) and determine what you can conclude from these relationships.
Section 3: Recommendations and implementation
- Based on your findings above, assess which expansion criteria seem to be more effective. Could any expansion criterion be changed or eliminated? If so, which one and why?
- Based on your findings above, does it appear as if the Loyalty Card is positively correlated with sales growth? Would you recommend changing this marketing strategy?
- Based on your previous findings, recommend marketing positioning that targets a specific demographic. (Hint: Are younger people patronizing the restaurants more than older people?)
- Indicate what information should be collected to track and evaluate the effectiveness of your recommendations. How can this data be collected? (Hint: Would you use survey/samples or census?)
Cite references to support your assignment.
Format your citations according to APA guidelines.
ChartDataSheet_
This worksheet contains values required for MegaStat charts. | ||||
Residuals X data 3/19/2007 7:49.25 | ||||
66 | 18 | 45177 | 34.4 | 31 |
69 | 16 | 51888 | 41.2 | 20 |
67 | 10 | 51379 | 40.3 | 24 |
70 | 4 | 66081 | 35.4 | 29 |
78 | 0 | 50999 | 31.5 | 18 |
62 | 28 | 41562 | 36.3 | 30 |
70 | 28 | 44196 | 35.1 | 14 |
84 | 29 | 50975 | 37.6 | 33 |
68 | 22 | 72808 | 34.9 | 28 |
60 | 42 | 79070 | 34.8 | 29 |
80 | 36 | 78497 | 36.2 | 39 |
64 | 32 | 41245 | 32.2 | 23 |
80 | 22 | 33003 | 30.9 | 22 |
88 | 78 | 90988 | 37.7 | 37 |
42 | 35 | 37950 | 34.3 | 24 |
68 | 32 | 45206 | 32.4 | 17 |
80 | 48 | 79312 | 32.1 | 37 |
84 | 32 | 37345 | 31.4 | 22 |
35 | 27 | 46226 | 30.4 | 36 |
84 | 24 | 70024 | 33.9 | 34 |
78 | 16 | 54982 | 35.6 | 26 |
80 | 39 | 54932 | 35.9 | 20 |
70 | 70 | 34097 | 33.6 | 20 |
76 | 33 | 46593 | 37.9 | 26 |
56 | 12 | 51893 | 40.6 | 21 |
65 | 32 | 88162 | 37.7 | 37 |
62 | 0 | 89016 | 36.4 | 34 |
66 | 20 | 114353 | 40.9 | 34 |
76 | 24 | 75366 | 35 | 30 |
92 | 36 | 48163 | 26.4 | 16 |
112 | 34 | 49956 | 37.1 | 28 |
66 | 15 | 45990 | 30.3 | 36 |
70 | 28 | 45723 | 31.3 | 18 |
60 | 15 | 43800 | 29.6 | 36 |
86 | 10 | 68711 | 32.9 | 18 |
76 | 0 | 65150 | 40.7 | 24 |
68 | 16 | 39329 | 29.3 | 22 |
64 | 0 | 63657 | 37.3 | 29 |
52 | 36 | 67099 | 39.8 | 25 |
78 | 26 | 75151 | 33.9 | 28 |
64 | 28 | 93876 | 35 | 40 |
82 | 32 | 79701 | 35 | 39 |
86 | 30 | 77115 | 35.9 | 30 |
92 | 16 | 52766 | 33 | 17 |
72 | 10 | 32929 | 30.9 | 22 |
90 | 24 | 87863 | 38.5 | 29 |
64 | 20 | 73752 | 40.5 | 19 |
80 | 20 | 85366 | 32.1 | 29 |
102 | 30 | 39180 | 34.8 | 18 |
70 | 26 | 56077 | 38 | 19 |
62 | 26 | 77449 | 37 | 34 |
68 | 20 | 56822 | 34.7 | 25 |
74 | 24 | 80470 | 36.4 | 30 |
84 | 14 | 55584 | 36.8 | 21 |
70 | 32 | 78001 | 32.2 | 30 |
96 | 32 | 75307 | 34.8 | 30 |
70 | 22 | 76375 | 36.7 | 28 |
76 | 32 | 61857 | 33.8 | 31 |
62 | 28 | 61312 | 34.2 | 16 |
92 | 23 | 72040 | 39 | 31 |
60 | 20 | 92414 | 34.9 | 40 |
54 | 15 | 92602 | 39.3 | 33 |
110 | 23 | 59599 | 35.6 | 28 |
78 | 0 | 72453 | 36 | 23 |
72 | 31 | 67925 | 41.1 | 16 |
74 | 29 | 42631 | 24.7 | 25 |
94 | 0 | 75652 | 40.5 | 25 |
80 | 16 | 39650 | 32.9 | 18 |
124 | 0 | 48033 | 30.3 | 15 |
46 | 20 | 67403 | 36.2 | 19 |
66 | 0 | 80597 | 32.4 | 27 |
63 | 28 | 60928 | 43.5 | 21 |
72 | 15 | 73762 | 41.6 | 29 |
76 | 24 | 64225 | 31.4 | 15 |
Normal Plot data 3/19/2007 7:49.03 | ||||
-259.9497306439 | -2.3669115357 | |||
-188.5900144767 | -2.0061237235 | |||
-178.1863109741 | -1.8007082352 | |||
-165.2888689211 | -1.6514108613 | |||
-156.2930386781 | -1.5318456091 | |||
-147.1995334043 | -1.4308738679 | |||
-145.0204151759 | -1.3426905457 | |||
-132.7962270775 | -1.2638662791 | |||
-132.5838765031 | -1.1921973902 | |||
-127.8657575015 | -1.1261791757 | |||
-124.4916500844 | -1.0647357757 | |||
-123.016384493 | -1.0070695657 | |||
-118.431306853 | -0.952571595 | |||
-110.8440652315 | -0.9007655189 | |||
-110.1477551652 | -0.8512709934 | |||
-109.3430277914 | -0.8037789242 | |||
-105.1097263145 | -0.7580342264 | |||
-104.7616892077 | -0.7138235056 | |||
-100.1917272772 | -0.6709660579 | |||
-96.9455399284 | -0.6293071641 | |||
-78.5222407532 | -0.588713006 | |||
-66.833182556 | -0.5490667518 | |||
-63.9367962151 | -0.5102654979 | |||
-54.9666697606 | -0.4722178495 | |||
-49.5089341383 | -0.4348419815 | |||
-43.817663257 | -0.3980640685 | |||
-30.5622414309 | -0.3618169976 | |||
-29.7056802184 | -0.3260393031 | |||
-28.8211160258 | -0.2906742745 | |||
-21.3829190469 | -0.2556692022 | |||
-20.8096302471 | -0.220974732 | |||
-18.0336858908 | -0.1865443062 | |||
-16.4732294274 | -0.152333674 | |||
-15.5268611118 | -0.1183004556 | |||
-12.5832024808 | -0.0844037498 | |||
-11.5991899485 | -0.0506037738 | |||
-10.6416197419 | -0.0168615273 | |||
-6.4663288735 | 0.0168615273 | |||
6.6082090726 | 0.0506037738 | |||
10.1026389027 | 0.0844037498 | |||
10.1556691582 | 0.1183004556 | |||
11.5424324103 | 0.152333674 | |||
13.4792557233 | 0.1865443062 | |||
15.0213966843 | 0.220974732 | |||
18.9663798116 | 0.2556692022 | |||
19.2122025279 | 0.2906742745 | |||
19.5938287738 | 0.3260393031 | |||
19.7419844304 | 0.3618169976 | |||
23.7470781354 | 0.3980640685 | |||
25.1736217387 | 0.4348419815 | |||
28.9194386872 | 0.4722178495 | |||
38.4697564504 | 0.5102654979 | |||
50.9831788417 | 0.5490667518 | |||
53.0357068283 | 0.588713006 | |||
61.102903906 | 0.6293071641 | |||
63.1204953548 | 0.6709660579 | |||
63.8380153718 | 0.7138235056 | |||
71.0833539728 | 0.7580342264 | |||
71.3281648375 | 0.8037789242 | |||
75.1828858929 | 0.8512709934 | |||
75.2802525469 | 0.9007655189 | |||
81.3206554357 | 0.952571595 | |||
81.6351025536 | 1.0070695657 | |||
105.576464442 | 1.0647357757 | |||
115.0253844293 | 1.1261791757 | |||
122.2233804168 | 1.1921973902 | |||
150.1178490106 | 1.2638662791 | |||
180.3934285167 | 1.3426905457 | |||
196.2671375845 | 1.4308738679 | |||
205.7993140008 | 1.5318456091 | |||
234.8563337617 | 1.6514108613 | |||
289.7338930992 | 1.8007082352 | |||
336.0904495556 | 2.0061237235 | |||
372.5195939607 | 2.3669115357 | |||
Residuals X data 3/19/2007 8:01.41 | ||||
66 | 18 | 45177 | 34.4 | 31 |
69 | 16 | 51888 | 41.2 | 20 |
67 | 10 | 51379 | 40.3 | 24 |
70 | 4 | 66081 | 35.4 | 29 |
78 | 0 | 50999 | 31.5 | 18 |
62 | 28 | 41562 | 36.3 | 30 |
70 | 28 | 44196 | 35.1 | 14 |
84 | 29 | 50975 | 37.6 | 33 |
68 | 22 | 72808 | 34.9 | 28 |
60 | 42 | 79070 | 34.8 | 29 |
80 | 36 | 78497 | 36.2 | 39 |
64 | 32 | 41245 | 32.2 | 23 |
80 | 22 | 33003 | 30.9 | 22 |
88 | 78 | 90988 | 37.7 | 37 |
42 | 35 | 37950 | 34.3 | 24 |
68 | 32 | 45206 | 32.4 | 17 |
80 | 48 | 79312 | 32.1 | 37 |
84 | 32 | 37345 | 31.4 | 22 |
35 | 27 | 46226 | 30.4 | 36 |
84 | 24 | 70024 | 33.9 | 34 |
78 | 16 | 54982 | 35.6 | 26 |
80 | 39 | 54932 | 35.9 | 20 |
70 | 70 | 34097 | 33.6 | 20 |
76 | 33 | 46593 | 37.9 | 26 |
56 | 12 | 51893 | 40.6 | 21 |
65 | 32 | 88162 | 37.7 | 37 |
62 | 0 | 89016 | 36.4 | 34 |
66 | 20 | 114353 | 40.9 | 34 |
76 | 24 | 75366 | 35 | 30 |
92 | 36 | 48163 | 26.4 | 16 |
112 | 34 | 49956 | 37.1 | 28 |
66 | 15 | 45990 | 30.3 | 36 |
70 | 28 | 45723 | 31.3 | 18 |
60 | 15 | 43800 | 29.6 | 36 |
86 | 10 | 68711 | 32.9 | 18 |
76 | 0 | 65150 | 40.7 | 24 |
68 | 16 | 39329 | 29.3 | 22 |
64 | 0 | 63657 | 37.3 | 29 |
52 | 36 | 67099 | 39.8 | 25 |
78 | 26 | 75151 | 33.9 | 28 |
64 | 28 | 93876 | 35 | 40 |
82 | 32 | 79701 | 35 | 39 |
86 | 30 | 77115 | 35.9 | 30 |
92 | 16 | 52766 | 33 | 17 |
72 | 10 | 32929 | 30.9 | 22 |
90 | 24 | 87863 | 38.5 | 29 |
64 | 20 | 73752 | 40.5 | 19 |
80 | 20 | 85366 | 32.1 | 29 |
102 | 30 | 39180 | 34.8 | 18 |
70 | 26 | 56077 | 38 | 19 |
62 | 26 | 77449 | 37 | 34 |
68 | 20 | 56822 | 34.7 | 25 |
74 | 24 | 80470 | 36.4 | 30 |
84 | 14 | 55584 | 36.8 | 21 |
70 | 32 | 78001 | 32.2 | 30 |
96 | 32 | 75307 | 34.8 | 30 |
70 | 22 | 76375 | 36.7 | 28 |
76 | 32 | 61857 | 33.8 | 31 |
62 | 28 | 61312 | 34.2 | 16 |
92 | 23 | 72040 | 39 | 31 |
60 | 20 | 92414 | 34.9 | 40 |
54 | 15 | 92602 | 39.3 | 33 |
110 | 23 | 59599 | 35.6 | 28 |
78 | 0 | 72453 | 36 | 23 |
72 | 31 | 67925 | 41.1 | 16 |
74 | 29 | 42631 | 24.7 | 25 |
94 | 0 | 75652 | 40.5 | 25 |
80 | 16 | 39650 | 32.9 | 18 |
124 | 0 | 48033 | 30.3 | 15 |
46 | 20 | 67403 | 36.2 | 19 |
66 | 0 | 80597 | 32.4 | 27 |
63 | 28 | 60928 | 43.5 | 21 |
72 | 15 | 73762 | 41.6 | 29 |
76 | 24 | 64225 | 31.4 | 15 |
NormalPlot data 3/19/2007 8:01.03 | ||||
-259.9497306439 | -2.3669115357 | |||
-188.5900144767 | -2.0061237235 | |||
-178.1863109741 | -1.8007082352 | |||
-165.2888689211 | -1.6514108613 | |||
-156.2930386781 | -1.5318456091 | |||
-147.1995334043 | -1.4308738679 | |||
-145.0204151759 | -1.3426905457 | |||
-132.7962270775 | -1.2638662791 | |||
-132.5838765031 | -1.1921973902 | |||
-127.8657575015 | -1.1261791757 | |||
-124.4916500844 | -1.0647357757 | |||
-123.016384493 | -1.0070695657 | |||
-118.431306853 | -0.952571595 | |||
-110.8440652315 | -0.9007655189 | |||
-110.1477551652 | -0.8512709934 | |||
-109.3430277914 | -0.8037789242 | |||
-105.1097263145 | -0.7580342264 | |||
-104.7616892077 | -0.7138235056 | |||
-100.1917272772 | -0.6709660579 | |||
-96.9455399284 | -0.6293071641 | |||
-78.5222407532 | -0.588713006 | |||
-66.833182556 | -0.5490667518 | |||
-63.9367962151 | -0.5102654979 | |||
-54.9666697606 | -0.4722178495 | |||
-49.5089341383 | -0.4348419815 | |||
-43.817663257 | -0.3980640685 | |||
-30.5622414309 | -0.3618169976 | |||
-29.7056802184 | -0.3260393031 | |||
-28.8211160258 | -0.2906742745 | |||
-21.3829190469 | -0.2556692022 | |||
-20.8096302471 | -0.220974732 | |||
-18.0336858908 | -0.1865443062 | |||
-16.4732294274 | -0.152333674 | |||
-15.5268611118 | -0.1183004556 | |||
-12.5832024808 | -0.0844037498 | |||
-11.5991899485 | -0.0506037738 | |||
-10.6416197419 | -0.0168615273 | |||
-6.4663288735 | 0.0168615273 | |||
6.6082090726 | 0.0506037738 | |||
10.1026389027 | 0.0844037498 | |||
10.1556691582 | 0.1183004556 | |||
11.5424324103 | 0.152333674 | |||
13.4792557233 | 0.1865443062 | |||
15.0213966843 | 0.220974732 | |||
18.9663798116 | 0.2556692022 | |||
19.2122025279 | 0.2906742745 | |||
19.5938287738 | 0.3260393031 | |||
19.7419844304 | 0.3618169976 | |||
23.7470781354 | 0.3980640685 | |||
25.1736217387 | 0.4348419815 | |||
28.9194386872 | 0.4722178495 | |||
38.4697564504 | 0.5102654979 | |||
50.9831788417 | 0.5490667518 | |||
53.0357068283 | 0.588713006 | |||
61.102903906 | 0.6293071641 | |||
63.1204953548 | 0.6709660579 | |||
63.8380153718 | 0.7138235056 | |||
71.0833539728 | 0.7580342264 | |||
71.3281648375 | 0.8037789242 | |||
75.1828858929 | 0.8512709934 | |||
75.2802525469 | 0.9007655189 | |||
81.3206554357 | 0.952571595 | |||
81.6351025536 | 1.0070695657 | |||
105.576464442 | 1.0647357757 | |||
115.0253844293 | 1.1261791757 | |||
122.2233804168 | 1.1921973902 | |||
150.1178490106 | 1.2638662791 | |||
180.3934285167 | 1.3426905457 | |||
196.2671375845 | 1.4308738679 | |||
205.7993140008 | 1.5318456091 | |||
234.8563337617 | 1.6514108613 | |||
289.7338930992 | 1.8007082352 | |||
336.0904495556 | 2.0061237235 | |||
372.5195939607 | 2.3669115357 |
Restaurant chain
Pastas R Us, Inc. 9
Restaurant chain
David Leonard
University of Phoenix
DAT/565
Scope and descriptive statistics
Analyzing and transforming data sets that are related to company operations into information that can be utilized to make business decisions is the goal of data analytics. For pasta, the information gleaned from the data research will be put to good use in refining restaurant regulations, menus, training programs for employees, and advertising initiatives. Larger establishments, such as Pasta, may have upwards of ten suppliers on their payroll, making it necessary to invest in an accurate analytics system. The majority of restaurants employ analytic tools to find ways to analyze and use big data in order to acquire insights.
Objective
This study’s major goal is to analyze statistics in order to:
I. Comprehend if the current expansion criteria can be upgraded
II. II. Assess the recent introduction of the Loyalty Card marketing strategy’s efficacy.
III. III. Create an assessment of the attainable, tangible possibilities which demand enhancement
The descriptive analysis in this example made use of such a number of different variables. The variables used in this study were: company area in sq ft, average expenditure per customer in a restaurant, sales rise throughout the period, loyalty program share of net sales, annual sales per sq. ft., median wage and population age (Liu & Tse, 2018).
The descriptive analysis
Column1 |
Obs |
SqFt |
Sales/Person |
Sales Growth% |
LoyaltyCard% |
Sales/SqFt |
BachDeg% |
|
|
|
|
|
|
|
|
Mean |
37.5 |
2580.473 |
7.044054054 |
7.4140541 |
2.026486 |
420.3054054 |
26.31081081 |
Standard Error |
2.5 |
43.58345 |
0.034555901 |
0.7701093 |
0.064212 |
15.95377053 |
0.814285102 |
Median |
37.5 |
2500 |
7 |
7.03 |
2.075 |
396.01 |
26.5 |
Mode |
#N/A |
2500 |
7.03 |
4.05 |
2.04 |
#N/A |
29 |
|
|
|
|
|
|
|
|
Standard Deviation |
21.50581 |
374.919 |
0.2972611 |
6.6247303 |
0.552371 |
137.2395233 |
7.004745311 |
Sample Variance |
462.5 |
140564.3 |
0.088364161 |
43.887052 |
0.305114 |
18834.68676 |
49.06645687 |
Kurtosis |
-1.2 |
3.760921 |
0.85439895 |
1.146166 |
1.4536 |
2.880513142 |
-0.937297935 |
Skewness |
1E-16 |
0.527171 |
0.903631503 |
0.4937475 |
-0.756891 |
1.23589655 |
0.140544196 |
Range |
73 |
2548 |
1.43 |
37.12 |
3.09 |
808.56 |
26 |
Minimum |
1 |
1251 |
6.54 |
-8.31 |
0.29 |
178.56 |
14 |
Maximum |
74 |
3799 |
7.97 |
28.81 |
3.38 |
987.12 |
40 |
Sum |
2775 |
190955 |
521.26 |
548.64 |
149.96 |
31102.6 |
1947 |
Count |
74 |
74 |
74 |
74 |
74 |
74 |
74 |
Seventy-four samples were used for analysis in total. The median sq ft According to the following table’s specific research, a bulk of restaurants are 2580 square feet in size. (Kadim & Sunardi, 2019). Revenue growth is 7.4 percent on average, while sales per person are 7.0, with an average of 420 sales per square foot for businesses.
Analysis
Scatter plot of BachDeg% versus Sales/SqFt
The association between BachDeg/sales/square feet is positive because when the X-values go right, the Y-values rise up, increasing the relationship (Mavridou, Bergmans, Barendregt & Lambrechts, 2017). The evidence exhibits a positive association which implies as the revenue for capacity of the establishment increases the BachDeg rises..
Scatter plot for Med Income versus Sales/SqFt
A similar pattern can be seen here, with the scatter plot showing an increase in sales per square foot in correlation with a rise in median income. The sort of connection that develops in this scenario is a positive marriage. This is because when the X-values rise (move right), the Y-values tend to increase (move up) (move up). The action takes place mostly in the middle of the frame (Liu & Tse, 2018). It is because of this focus that we deduce that med earnings increases against revenues per square.
Scatter Plot MedAge versus Sales/SqFt
In this particular instance, there is no such link. According to the assessment, the measured values show no sharp rise on either the X-axis or the Y-axis.
LoyaltyCard (%) versus Sales Growth (%)
Consequently, there seems to be a favorable connection in this situation since there is a large rise in the X-axis as the Y-axis grows..
Recommendations and implementation
As per the analysis, BachDeg percent and Sales/SqFt correspond and are much more economical when employed by the firm to make the necessary adjustments to enhance everyday operations (Mavridou, Bergmans, Barendregt & Lambrechts, 2017). Also, the scatter plot of MedAge vs Sales/SqFt shows no association between age and sales per square foot. We may also use the line graph to see whether their current connection.
According to the line graph above, there appears to be no significant correlation seen between age category and sales per square foot that is significant (Liu & Tse, 2018). It doesn’t matter how many sales square feet a business has since the average life span doesn’t change.. Ultimately, the new loyalty card and increased sales have a beneficial link.
Recommendations
Based on the aforementioned descriptive study, the firm needs adjust and enhance several tactics to boost revenue. This includes marketing based on Bachelor’s degrees (3 miles) and sales per square foot. Aside from the general market, the firm should target those under the age of 35. The majority of adults aged 34 like to be served in restaurants.
Unlike other organizations, obtaining data from a restaurant is not difficult. Data may be collected from passports and national identity cards. With the exception of the ID cards, the information may be retrieved from the contact details supplied by the clients upon registering in. Many Point – of – sale technologies allow restaurants to access restaurant demographic data, which may be supplemented by public information. This data storage and management will supply unlimited effective segmentation information.
References
Kadim, A., & Sunardi, N. (2019, May). Eviews Analysis; Determinan Tourism, Restaurant and Hotel Company’s Soundness and Performance. In Proceeding Interuniversity Forum for Strengthening Academic Competency (Vol. 1, No. 1, pp. 332-340).
Mavridou, A. M., Bergmans, L., Barendregt, D., & Lambrechts, P. (2017). Descriptive analysis of factors associated with external cervical resorption. Journal of endodontics, 43(10), 1602-1610.
Liu, P., & Tse, E. C. Y. (2018). Exploring factors on customers’ restaurant choice: an analysis of restaurant attributes. British Food Journal.
ADDITIONAL INSTRUCTIONS FOR THE CLASS
Who We Are
We are a professional custom writing website. If you have searched for a question and bumped into our website just know you are in the right place to get help with your coursework.Do you handle any type of coursework?
Yes. We have posted our previous orders to display our experience. Since we have done this question before, we can also do it for you. To make sure we do it perfectly, please fill out our Order Form. Filling the order form correctly will assist our team in referencing, specifications, and future communication.Is it hard to Place an Order?
- 1. Click on “Order Now” on the main Menu and a new page will appear with an order form to be filled.
- 2. Fill in your paper’s requirements in the “PAPER INFORMATION” section and the system will calculate your order price/cost.
- 3. Fill in your paper’s academic level, deadline, and the required number of pages from the drop-down menus.
- 4. Click “FINAL STEP” to enter your registration details and get an account with us for record-keeping and then, click on “PROCEED TO CHECKOUT” at the bottom of the page.
- 5. From there, the payment sections will show, follow the guided payment process and your order will be available for our writing team to work on it.
SCORE A+ WITH HELP FROM OUR PROFESSIONAL WRITERS – Week 2 Statistical Report
We will process your orders through multiple stages and checks to ensure that what we are delivering to you, in the end, is something that is precise as you envisioned it. All of our essay writing service products are 100% original, ensuring that there is no plagiarism in them. The sources are well-researched and cited so it is interesting. Our goal is to help as many students as possible with their assignments, i.e. our prices are affordable and services premium.
- Discussion Questions (DQ)
Initial responses to the DQ should address all components of the questions asked, including a minimum of one scholarly source, and be at least 250 words. Successful responses are substantive (i.e., add something new to the discussion, engage others in the discussion, well-developed idea) and include at least one scholarly source. One or two-sentence responses, simple statements of agreement or “good post,” and responses that are off-topic will not count as substantive. Substantive responses should be at least 150 words. I encourage you to incorporate the readings from the week (as applicable) into your responses.
- Weekly Participation
Your initial responses to the mandatory DQ do not count toward participation and are graded separately. In addition to the DQ responses, you must post at least one reply to peers (or me) on three separate days, for a total of three replies. Participation posts do not require a scholarly source/citation (unless you cite someone else’s work). Part of your weekly participation includes viewing the weekly announcement and attesting to watching it in the comments. These announcements are made to ensure you understand everything that is due during the week.
- APA Format and Writing Quality
Familiarize yourself with the APA format and practice using it correctly. It is used for most writing assignments for your degree. Visit the Writing Center in the Student Success Center, under the Resources tab in Loud-cloud for APA paper templates, citation examples, tips, etc. Points will be deducted for poor use of APA format or absence of APA format (if required). Cite all sources of information! When in doubt, cite the source. Paraphrasing also requires a citation. I highly recommend using the APA Publication Manual, 6th edition.
- Use of Direct Quotes
I discourage over-utilization of direct quotes in DQs and assignments at the Master’s level and deduct points accordingly. As Masters’ level students, it is important that you be able to critically analyze and interpret information from journal articles and other resources. Simply restating someone else’s words does not demonstrate an understanding of the content or critical analysis of the content. It is best to paraphrase content and cite your source. Week 2 Statistical Report
- LopesWrite Policy
For assignments that need to be submitted to Lopes Write, please be sure you have received your report and Similarity Index (SI) percentage BEFORE you do a “final submit” to me. Once you have received your report, please review it. This report will show you grammatical, punctuation, and spelling errors that can easily be fixed. Take the extra few minutes to review instead of getting counted off for these mistakes. Review your similarities. Did you forget to cite something? Did you not paraphrase well enough? Is your paper made up of someone else’s thoughts more than your own? Visit the Writing Center in the Student Success Center, under the Resources tab in Loud-cloud for tips on improving your paper and SI score.
- Late Policy
The university’s policy on late assignments is a 10% penalty PER DAY LATE. This also applies to late DQ replies. Please communicate with me if you anticipate having to submit an assignment late. I am happy to be flexible, with advance notice. We may be able to work out an extension based on extenuating circumstances. If you do not communicate with me before submitting an assignment late, the GCU late policy will be in effect. I do not accept assignments that are two or more weeks late unless we have worked out an extension. As per policy, no assignments are accepted after the last day of class. Any assignment submitted after midnight on the last day of class will not be accepted for grading.
- Communication
Communication is so very important. There are multiple ways to communicate with me: Questions to Instructor Forum: This is a great place to ask course content or assignment questions. If you have a question, there is a good chance one of your peers does as well. This is a public forum for the class. Individual Forum: This is a private forum to ask me questions or send me messages. This will be checked at least once every 24 hours.
- Guarantee
- Zero Plagiarism
- On-time delivery
- A-Grade Papers
- Free Revision
- 24/7 Support
- 100% Confidentiality
- Professional Writers
- Services Offered
- Custom paper writing
- Question and answers
- Essay paper writing
- Editing and proofreading
- Plagiarism removal services
- Multiple answer questions
We will process your orders through multiple stages and checks to ensure that what we are delivering to you, in the end, is something that is precise as you envisioned it. All of our essay writing service products are 100% original, ensuring that there is no plagiarism in them. The sources are well-researched and cited so it is interesting. Our goal is to help as many students as possible with their assignments, i.e. our prices are affordable and services premium.
Looking for a Similar Assignment? Order a custom-written, plagiarism-free paper