Question.5662 - Create a report that presents the results of the t-tests on the data included in your data set to inform leadership's decision making. Incli Specifically, you must address the following rubric criteria: Perform T-Tests: Perform t-tests on identified binary (dichotomous) variables to determine differences between data groups. • Perform a t-test to investigate customers' orders based on time of day. Group the orders according to those placed in the m Differentiate between the two groups of orders in terms of: • The average number of orders (or volume) • The average total amount • Perform a t-test by creating a new variable to group the restaurants based on whether or not they are categorized as "Pizza · Determine if there is a difference in the volume and the average order amount between restaurants categorized as Pizza Interpret Statistical Results: Determine the statistical significance of your t-test results using the p values generated. • Determine whether there's a statistically significant difference at the p < .05 level. · Differentiate between the volume of orders placed in the morning and in the afternoon. • Interpret the impact of limiting deliveries to only mornings and the impact on restaurants with significant pre-noon sales. • Recommend the time for deliveries if the level of significance was relaxed to p < .10. • Interpret the differences between pizzerias and other restaurants and how they influence your recommendation to leadership • Summarize T-Test Results: Summarize the t-test results for a non-technical audience. • Explain why you performed a t-test instead of any other statistical test to answer leadership's questions. • Explain your findings in terms of the p< .05 level and how confident you can be in any conclusions drawn from your analysis
Answer Below:
T-Test Analysis Report: Customer Ordering BehaviorThe report analyses differences in customer ordering behavior by time of day and restaurant type. In...
T-Test xxxxxxxx Report xxxxxxxx Ordering xxxxxxxxxxx report xxxxxxxx differences xx customer xxxxxxxx behavior xx time xx day xxx restaurant xxxx Independent xxxxxx t-tests xxxx conducted xx Microsoft xxxxx to xxxxxxxxx whether xxxxxxxx differences xx order xxxxxx and xxxxx value xxx statistically xxxxxxxxxxx or xxx to xxxxxx chance xxxx Ramdas xxxxxxx I xxxxxxxxx whether xxxxxxxx ordering xxxxxxxx differs xx time xx day xx excel xxxxxx were xxxxxxx into xxxxxxx AM xxx afternoon xx categories xxxxx the xxxxx time xx the xxx variable xxx analysis xxxxxxxx differences xx both xxxxx volume xxx average xxxxx amount xxxx the xxxxxx we xxx say xxxx the xxxxxxx order xxxxxx AM xx and xxx average xxxxx amount xx is xx is x two xxxxxx test xxxxxxxxx the xx value xx At xxxxxxxxxxxx level xxx difference xx average xxxxx amount xxxxxxx morning xxx afternoon xxxxxx is xxx statistically xxxxxxxxxxx because xxx p-value xx greater xxxx This xxxxxxxxx that xxx small xxxxxxxxxx in xxxxxxx spending xxxxxxx AM xxx PM xxxxxx is xxxxxx due xx random xxxxxxxxx rather xxxx a xxxx behavioral xxxxxxxxxx Order xxxxxx was xxxxxxxx by xxxxxxxx the xxxxxx of xxxxxxxxxxxx in xxxx time-of-day xxxxx From xxx output xx can xxx that xxxxxxxxx orders xxx marginally xxxxxx than xxxxxxx orders xxx the xxxxxxxxxx is xxxxxxx and xxx large xxxxxx to xxxxxxxx a xxxxxx preference xxx one xxxx period x created x binary xxxxxxxx to xxxxxxxx restaurants xx either xxxxx Place xx Non xxxxx Place xxx then xxxxxxxxx Independent xxxxxxxxxx t-tests xxxxxxxx unequal xxxxxxxxx to xxxxxxx both xxxxx volume xxx average xxxxx amount xxxxxxx these xxx groups xxxx the xxxxxx we xxx say xxxx Pizza xxxxxx had xx average xxxxx total xx while xxxxxxxxx restaurants xxx a xxxxxxxx higher xxxxxxx of xxx two-tailed xxxxxxx from xxx t-test xxx is xxxxxxx than xxx significance xxxxx Therefore xxxxx is xx statistically xxxxxxxxxxx difference xx the xxxxxxx order xxxxxx between xxxxx Places xxx Non- xxxxx restaurants xxxxxxxxxx that xxxxxxxxxx type xxxx not xxxxxxxxxxxx influence xxxxxxx order xxxxx When xxxxxxxxxxx delivery xxxxxx the xxxx of xxx analysis xxxxx that xxxxxxxxxxx between xxxxxxx and xxxxxxxxx orders xxxxxx marginally xxxxxxxxxxx when xxx significancelevel xx relaxed xx This xxxxxxxxx some xxxxxxxx that xxxxxxx orders xxx be xxxxxxxx higher xxxxxxxx the xxxxxxxx of xxxx evidence xx weak xxxxxxxx deliveries xx only xxxxxxxx could xxxxxxxxxx impact xxxxxxxxxxx with xxxxxxxxxxx post-noon xxxxx particularly xxxxxxxxx restaurants xxxxx generate x higher xxxxxxx order xxxxxx Based xx these xxxxxxxx leadership xxxxxx not xxxxxx Pizza xxxxxx exclusively xxx restrict xxxxxxxxxx strictly xx mornings xxxxxxx a xxxxxxxx delivery xxxxxxxx that xxxxxxxxxxx high-volume xxxxxxxxx across xxxx morning xxx afternoon xxxxxxx is xxxxxxxxxxx to xxxxxxx operational xxxxxxxxxx with xxxxxxx retention x t-test xxx used xxxxxxx leadership xxxxxx to xxxxxxx average xxxxx values xxxxxxx two xxxxxx at x time xxxx as xxxxxxx vs xxxxxxxxx orders xxx pizza xx non-pizza xxxxxxxxxxx Test xx this xxxx it xx more xxxxxxxxxxx for xxxxxxxxxxx whether xxxxxxxxxxx between xxx group xxxxxxxx are xxxxxxxxxx whereas xxxxx tests xxx better xxxxxx for xxxxxxxxx three xx more xxxxxx The xxxxxxx showed xxxx the xxxxxxxx were xxxxxxx than xxxxxxx the xxxxxxxxxxx in xxxxxxx order xxxxxxx between xxx groups xxxx not xxxxxxxxxxxxx significant xxxxxxxxxx that xxx observed xxxxxxxxxxx could xxxx occurred xx chance xx cannot xx highly xxxxxxxxx that xxxx of xxx or xxxxxxxxxx type xxx a xxxx impact xx order xxxxx Therefore xxxxx factors xxxxx should xxx drive xxxxx delivery xx operational xxxxxxxxx ReferencesKeselman x J xxxxxx A x Wilcox x R xxxxxxxx K xxx new xxx improved xxxxxxxxxx t xxxx Psychological xxxxxxx - x ller x K x more xxxxxx t-test xxxxxx of xxxxxxxxx and xxxxxxxxxx - xxxx O x T xxxxxxxxxxxxxxxxxxx T xxxx An xxx SPSS xxxxxxxxx to xxxxxxxxx Analysis xxxx H xxxxxx A xxxxxxxxxxxxx t-tests xxx confidence xxxxxxxxx for xxxxxxxx means xxxx unknown xxxxxxxx Sequential xxxxxxxx -Paying someone to do your statistics assignment has become a practical solution for students managing tight deadlines, academic pressure, and personal responsibilities. Today’s education system demands accuracy, originality, and timely submission, which can be difficult when multiple assignments overlap. Professional academic assistance helps students meet these expectations without unnecessary stress.
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