{"id":28720,"date":"2024-06-25T02:19:27","date_gmt":"2024-06-25T02:19:27","guid":{"rendered":"https:\/\/www.writemyessays.app\/blog\/questions\/quantitative-marketing-research-report-results-discussion-and-recommendations-assignment\/"},"modified":"2024-06-25T02:19:27","modified_gmt":"2024-06-25T02:19:27","slug":"quantitative-marketing-research-report-results-discussion-and-recommendations-assignment","status":"publish","type":"questions","link":"https:\/\/www.writemyessays.app\/blog\/questions\/quantitative-marketing-research-report-results-discussion-and-recommendations-assignment\/","title":{"rendered":"Quantitative Marketing Research Report: Results, Discussion, and Recommendations Assignment"},"content":{"rendered":"

quantitative marketing research
\nreport: results, discussion, and recommendations Assignment instructions<\/span><\/b><\/p>\n



\nOverview<\/span><\/b><\/span><\/p>\n

In today\u2019s fiercely competitive
\nbusiness environment, companies cannot afford to make decisions based on
\nguesswork or assumptions. They need reliable qualitative or quantitative data
\nand insights to develop effective marketing strategies, understand consumer
\nneeds and preferences, identify market trends, and stay ahead of their
\ncompetitors. Marketing research provides organizations with valuable
\ninformation about their target audience, allowing them to make informed
\ndecisions and tailor their offerings accordingly. This assignment provides the
\nstudent with the opportunity to practice developing marketing research reports.<\/span><\/span><\/p>\n



\nInstructions<\/span><\/b> <\/span><\/p>\n

In 850\u20131,150 words, you will
\nwrite the results, discussion, and recommendation section of the
\npaper. The current APA heading of this section must
\nbe \u201cDiscussion, Conclusions, and Recommendations\u201d.<\/span><\/span><\/p>\n

 <\/b><\/span><\/p>\n

Results:<\/b><\/span> <\/span><\/span><\/p>\n

Begin by
\nrestating the research question and
\nhypotheses. Then, use Microsoft Excel\u2019s statistical
\nfunctions to obtain the descriptive statistics (mean, median, mode, and
\nstandard deviation) and the inferential statistics (one-sample
\nt-test). You will conduct a one-sample t-test to determine if the
\naverage response of the sample population you surveyed is
\nsignificantly greater or less than the hypothesized population
\nmean.  <\/span> <\/span><\/span><\/p>\n



\nOne Sample T test Steps:<\/span><\/b><\/span> <\/span><\/span><\/span><\/p>\n

Steps to
\ncalculating a one sample T test can be found in Module 6: Week 6 \u2013
\nData Preparation for Analysis.<\/span> <\/span><\/span><\/p>\n

A quick
\nway to calculate a T test:<\/span> <\/span><\/span><\/p>\n

1.    
\n<\/span><\/span><\/span>Create an Excel
\nspreadsheet with two columns.<\/span> <\/span><\/span><\/p>\n

2.    
\n<\/span><\/span><\/span>The first column
\nshould have all of the responses from the survey except for the

\n      <\/span>demographic data. For example,
\ntype your data into cells A1:A30. <\/span> <\/span><\/span><\/p>\n

3.    
\n<\/span><\/span><\/span>Calculate the average
\nof your data in the first column.  (This data will be used in

\n      <\/span>step 4).<\/span> <\/span><\/span><\/p>\n

4.    
\n<\/span><\/span><\/span>Type the average
\ncalculated in step 3 into the second column. For example, type

\n      <\/span>the average into cells B1:B30.<\/span><\/span><\/p>\n

5.    
\n<\/span><\/span><\/span>Enter the following
\nsyntax directly into an empty cell: =T.TEST then double

\n      <\/span>click<\/span>.<\/span><\/span><\/p>\n

6.    
\n<\/span><\/span><\/span>After double clicking
\nyou will see T.TEST(array1,array2,tails,type).<\/span> <\/span><\/span><\/p>\n

7.    
\n<\/span><\/span><\/span>Here, array1 refers to
\nthe data in the first column (e.g. A1:A30), array2

\n      <\/span>is (B1:B30), tails refers to
\nwhether you want to run a one- or two tailed test (for  <\/span>

\n      <\/span>this statistical test you are
\nrunning a two tailed test so number 2 is entered,

\n      <\/span>indicating a two-tailed test;), and
\nthe type refers to: 1 = paired test 2 = two sample

\n      <\/span>equal variance test 3 = two sample
\nunequal variance test.<\/span><\/span><\/p>\n

8.    
\n<\/span><\/span><\/span>Based on the given
\ndata set example, the formula should be

\n      <\/span>=T.TEST(A1:A3, B2:B30,2,2)<\/span>.<\/span><\/span><\/p>\n

 <\/span><\/span><\/span><\/p>\n

After the
\nstatistical analysis of the descriptive statistics is
\ncompleted, you will summarize the data for each question by
\npresenting at least 1 form of central tendency (or
\naverage), that is, either the mean, median, or mode, and the
\nstandard deviation (e.g., the mean age of the 32 participants
\nwas 40 to 60, SD = 4).<\/span> <\/span><\/span><\/p>\n



\nDiscussion:<\/b><\/span> <\/span><\/span><\/p>\n

Lastly,
\nsummarize the inferential or t-test results by explaining if the
\nresearcher rejects or fails to reject the null hypotheses based
\non the \u201cp\u201d value (e.g., a one-sample t-test was conducted to
\ndetermine the p-value is p = 2.6, which is greater than
\n0.05.   Since the \u201cp\u201d value
\nis greater than 0.05, we fail to reject the null
\nhypothesis that price increases had no effect on the sales of grills at Home
\nDepot).<\/span> <\/span><\/span><\/p>\n



\nRecommendations:<\/b><\/span> <\/span><\/span><\/p>\n

After
\nanalyzing the results, provide a summary of the key findings of the research
\nand formulate your recommendations to the leadership within the
\nselected company for resolving the issue. Make sure to highlight
\nspecific strategies for implementing the recommendation. <\/span> <\/span><\/span><\/p>\n

Incorporate
\nat least 3 scholarly or peer-reviewed resources.<\/span> <\/span><\/p>\n

Note: Your assignment will be checked
\nfor originality via the Turnitin plagiarism tool.<\/p>\n","protected":false},"excerpt":{"rendered":"

quantitative marketing research report: results, discussion, and recommendations Assignment instructions Overview In today\u2019s fiercely competitive business environment, companies cannot afford to make decisions based on guesswork or assumptions. They need reliable qualitative or quantitative data and insights to develop effective marketing strategies, understand consumer needs and preferences, identify market trends, and stay ahead of their […]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"closed","template":"","meta":[],"disciplines":[9],"paper_types":[],"tagged":[],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/www.writemyessays.app\/blog\/wp-json\/wp\/v2\/questions\/28720"}],"collection":[{"href":"https:\/\/www.writemyessays.app\/blog\/wp-json\/wp\/v2\/questions"}],"about":[{"href":"https:\/\/www.writemyessays.app\/blog\/wp-json\/wp\/v2\/types\/questions"}],"author":[{"embeddable":true,"href":"https:\/\/www.writemyessays.app\/blog\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.writemyessays.app\/blog\/wp-json\/wp\/v2\/comments?post=28720"}],"version-history":[{"count":0,"href":"https:\/\/www.writemyessays.app\/blog\/wp-json\/wp\/v2\/questions\/28720\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.writemyessays.app\/blog\/wp-json\/wp\/v2\/media?parent=28720"}],"wp:term":[{"taxonomy":"disciplines","embeddable":true,"href":"https:\/\/www.writemyessays.app\/blog\/wp-json\/wp\/v2\/disciplines?post=28720"},{"taxonomy":"paper_types","embeddable":true,"href":"https:\/\/www.writemyessays.app\/blog\/wp-json\/wp\/v2\/paper_types?post=28720"},{"taxonomy":"tagged","embeddable":true,"href":"https:\/\/www.writemyessays.app\/blog\/wp-json\/wp\/v2\/tagged?post=28720"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}