{"id":21948,"date":"2024-10-26T07:57:27","date_gmt":"2024-10-26T02:27:27","guid":{"rendered":"http:\/\/www.sachdevajk.in\/?p=21948"},"modified":"2024-10-26T07:57:27","modified_gmt":"2024-10-26T02:27:27","slug":"title-a-comparison-of-four-cigarette-manufacturing-companies-marlboro-gold-flake-dunhill-and-maverick","status":"publish","type":"post","link":"http:\/\/www.sachdevajk.in\/?p=21948","title":{"rendered":"Title: A comparison of four cigarette manufacturing companies Marlboro, Gold Flake, Dunhill and Maverick."},"content":{"rendered":"

A<\/span><\/span>uthor: <\/span><\/span>Ishan Verma<\/span><\/span><\/p>\n

<\/a>Introduction: <\/span><\/span>Marlboro<\/span><\/span>, <\/span><\/span>Gold Flake<\/span><\/span>, <\/span><\/span>Dunhill<\/span><\/span> and <\/span><\/span>Maverick<\/span><\/span> are leading <\/span><\/span>cigarette manufacturing companies in the world<\/span><\/span>.<\/span><\/span><\/p>\n

<\/a>Objective:<\/span><\/span> To analyze the relationship between four variables <\/span>Marlboro<\/span>, <\/span>Gold Flake<\/span>, <\/span>Dunhill<\/span> and <\/span>Maverick<\/span>.<\/span><\/p>\n

<\/a>D<\/span><\/span>ata Collection:<\/span><\/span> \u00a0<\/span><\/span><\/p>\n

We collected experience ratings between 1 and 10 for the following<\/span><\/span> cigarette manufacturing companies<\/span>. We then analyzed these 4 variables using ANOVA to compare the mean experience ratings among the different platforms.<\/span><\/span><\/p>\n

<\/a><\/span><\/span><\/p>\n

<\/a>Data Analysis: <\/span><\/span><\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
\n
\n

Table 1<\/span><\/p>\n<\/div>\n<\/td>\n<\/tr>\n

\n
\n

Anova: Single Factor<\/span><\/p>\n<\/div>\n<\/td>\n<\/tr>\n

\n
\n

\u00a0<\/p>\n<\/div>\n<\/td>\n

\n
\n

SUMMARY<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

\u00a0<\/p>\n

\u00a0<\/p>\n

\u00a0<\/p>\n

\u00a0<\/p>\n

\u00a0<\/p>\n

\u00a0<\/p>\n<\/div>\n<\/td>\n<\/tr>\n

\n
\n

\u00a0<\/p>\n<\/div>\n<\/td>\n

\n
\n

Groups<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

Count<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

Sum<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

Average<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

Variance<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

\u00a0<\/p>\n<\/div>\n<\/td>\n<\/tr>\n

\n
\n

\u00a0<\/p>\n<\/div>\n<\/td>\n

\n
\n

Marlboro<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

30<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

165<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

5.5<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

7.70689655<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

\u00a0<\/p>\n<\/div>\n<\/td>\n<\/tr>\n

\n
\n

\u00a0<\/p>\n<\/div>\n<\/td>\n

\n
\n

Gold Flake<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

30<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

143<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

4.7666667<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

8.94367816<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

\u00a0<\/p>\n<\/div>\n<\/td>\n<\/tr>\n

\n
\n

\u00a0<\/p>\n<\/div>\n<\/td>\n

\n
\n

Dunhill<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

30<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

174<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

5.8<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

9.68275862<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

\u00a0<\/p>\n<\/div>\n<\/td>\n<\/tr>\n

\n
\n

\u00a0<\/p>\n<\/div>\n<\/td>\n

\n
\n

Maverick<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

30<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

199<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

6.6333334<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

6.86091954<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

\u00a0<\/p>\n<\/div>\n<\/td>\n<\/tr>\n

\n
\n

\u00a0<\/p>\n<\/div>\n<\/td>\n<\/tr>\n

\n
\n

ANOVA<\/span><\/p>\n<\/div>\n<\/td>\n<\/tr>\n

\n
\n

Source of Variation<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

SS<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

df<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

MS<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

F<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

P-value<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

F crit<\/span><\/p>\n<\/div>\n<\/td>\n<\/tr>\n

\n
\n

Between Groups<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

53.6916666<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

3<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

17.8972222<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

2.1566651<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

0.09691391<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

2.68280<\/span><\/p>\n<\/div>\n<\/td>\n<\/tr>\n

\n
\n

Within Groups<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

962.633333<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

116<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

8.29856321<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

\u00a0<\/p>\n<\/div>\n<\/td>\n

\n
\n

\u00a0<\/p>\n<\/div>\n<\/td>\n

\n
\n

\u00a0<\/p>\n<\/div>\n<\/td>\n<\/tr>\n

\n
\n

Total<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

1016.325<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

119<\/span><\/p>\n<\/div>\n<\/td>\n

\n
\n

\u00a0<\/p>\n<\/div>\n<\/td>\n

\n
\n

\u00a0<\/p>\n<\/div>\n<\/td>\n

\n
\n

\u00a0<\/p>\n<\/div>\n<\/td>\n

\n
\n

\u00a0<\/p>\n<\/div>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u00a0<\/p>\n

Hypothesis:<\/span><\/span><\/p>\n

Null Hypothesis (H0): All are the same.<\/span><\/span><\/p>\n

Alternative Hypothesis (H1): Anyone of them is different.<\/span><\/span><\/p>\n

<\/a>Conclusion <\/span><\/span><\/p>\n

Since the P-value is <\/span><\/span>more than the<\/span><\/span> significance level (0.05), we accept the null hypothesis. This means that there is sufficient evidence to conclude that all the online food delivery platforms have the <\/span><\/span>same average<\/span><\/span> rating.<\/span><\/span><\/p>\n

\u00a0<\/p>\n","protected":false},"excerpt":{"rendered":"

Author: Ishan Verma Introduction: Marlboro, Gold Flake, Dunhill and Maverick are leading cigarette manufacturing companies in the world. Objective: To analyze the relationship between four variables Marlboro, Gold Flake, Dunhill and Maverick. Data Collection: \u00a0 We collected experience ratings between 1 and 10 for the following cigarette manufacturing companies. We then analyzed these 4 variables… Continue reading Title: A comparison of four cigarette manufacturing companies Marlboro, Gold Flake, Dunhill and Maverick.<\/span><\/a><\/p>\n","protected":false},"author":139592,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[38],"tags":[],"class_list":["post-21948","post","type-post","status-publish","format-standard","hentry","category-finance","entry"],"_links":{"self":[{"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=\/wp\/v2\/posts\/21948","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=\/wp\/v2\/users\/139592"}],"replies":[{"embeddable":true,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=21948"}],"version-history":[{"count":1,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=\/wp\/v2\/posts\/21948\/revisions"}],"predecessor-version":[{"id":21949,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=\/wp\/v2\/posts\/21948\/revisions\/21949"}],"wp:attachment":[{"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=21948"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=21948"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/www.sachdevajk.in\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=21948"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}