Look at the description of the variables in the file and the variables themselve

Question

Look at the description of the variables in the file and the variables themselves. Then develop a “research question” that can be answered using a one- or two-sample t-test and confidence interval that might be interesting to explore using this data set.

Some examples are: Is the average delay time longer at Midway than at Dallas? Is the average taxi time longer at Houston than at Dallas?

Southwest_Airline_Data_MDWDeparture StatCrunch Applets Edit Data Stat Graph Help Row DayOfWeek Carrier Dest CRSDepTime DepTime DepDelayMi var8 MDW MDW MDW MDW MDW MDW MDW MDW MDW MDW MDW MDW MDW MDW MDW MDW MDW MDW MDW MDW MDW MDW MDW MDW MDW MDW MDW 1005 2015 1705 1230 2055 1215 1415 1005 2042 1725 1228 2107 1235 1430 1000 2125 1012 2205 557 2054 1715 1010 2 4 AUS AUS BDL BDL BDL BHM BHM BNA BNA BNA BNA BNA BNA BNA BOS BOS BOS BOS BOS BUF BUF BUF BUF 6 7 8 2105 1015 1955 1700 1010 1334 2154 1638 2011 1335 2125 1615 2010 600 925 1330 2105 1300 1535 1351 2100 1319 1543 8

Explanation / Answer

Hypothesis1:

There are no differences in means of CRSDEPTTIME AND DEPTIME.

select alpha=0.05

perform t test for diff in means

p<0.05 Rejet Null hypothesis and if p>0.05 Fail to reject Null hypothesis.

Research hypothesis2:

is delay time (DEPDELAYMIN)>50 MINUTES

perform t test for single mean

t=samplemean_DEPDELAYMIN-50/samplesd of DEPDELAYMIN/SQRT(SAMPLE SIZE)

get p value

if p<0.05 Reject Null hypothesis

or else accept nul hypothesis

Hypothesis 3:

average delay time are same for all origins

perform one way ANOVA for

origin and DEPDelaymin

p<0.05

Atleast one of the group means are different or else it is same.

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