Question.3910 - Step 1: Choose your Analysis For each option the goal is for you to conduct a chi-square equal proportions test or a chi-square test for independence test. Please review the options and choose one that interests you: Option 1. For BA 275 students is major related to whether the student is currently employed? Use the major and job_current variables in the BA275 student survey data to test whether there is a relationship between the major and job status. Option 2. For BA 275 students are the proportion of female students equal in each major category? Use the gender and major variables in the BA275 student survey data to test whether the proportion of students who identify as female differ between the business majors. Option 3. Is there a relationship between proximity to campus and the condition of a Corvallis rental? Use the Corvallis Rentals data to test whether being close to campus (campus_close) and whether a dwelling is new are dependent (new). Option 4. Is there a relationship between position in the NBA and whether a player is “good” at free throws? Use the POS and the FT_Good from the NBA Player Stats data to test whether there is a significant association between position and ability to make free throws. Option 5. Is the proportion of flights delayed different by day of the week? Use the variables ARR_DEL15 and DAY_OF_WEEK to test the proportions of delayed flights differ by week day from the Oregon Flights data. Obtain your observed counts and Side-by-Side Barchart Create a pivot table using the two variables to obtain the observed counts. Create an appropriate plot to compare variables. Step 5: Conduct a hypothesis test and calculate a 95% confidence interval for p Use your option's question of interest to state the null and alternative hypotheses. Use your observed counts to calculate the expected counts, the chi-square test statistic, df and p-value. Save and show your work for your post. Save you output so you can post it in your analysis.
Answer Below:
Week xxxx anlaysisState xxx Visualize x selected xxxxxx The xxxxxxxx of xxxxxxxx is xxxxx Are xxx proportion xx female xxxxxxxx equal xxxxxx different xxxxxxxx major xxxxxxxxxx in xxx BA xxxxxxx population xxxxx Plan xxxx Hypothesis x Gender xxx Major xxx independent xxxxxxxxxxx Hypothesis x Gender xxx Major xxx dependent xxxxxxxx count xxx data xxxxxxxx is xxxx a xxxxxx sample xx BA xxxxxxxx across xxx different xxxxxx The xxxxxxxx counts xxx large xxxxxx to xxxx the xxxxxxxxxx for x Chi-Square xxxx since xxx the xxxxxxxx counts xxx greater xxxx or xxxxx to xxxxx Chi xxxxxx test xx calculated xx the xxx of xxxxxxxx ndash xxxxxxxx expected xxx degrees xx freedom xx r- xx - x The xx value xx which xx calculated xxxxx the xxxxx formula xxxxx DIST xx Conclude xxx alternative xxxxxxxxxx H xxxxxx that xxxxxx and xxxxx are xxxx dependent xxxxxxx there xx an xxxxxxxxxxx between xxxxx two xxxxxxxxx The xxxxxxx for xxx chi-square xxxx is xxxxx is xxxx than xxx alpha xxxxx of xxxxxxxxx we xxxx reject xxx null xxxxxxxxxx nbsp x which xxxxxx that xxxxxx and xxxxx are xxxxxxxxxxx nbsp xxxxxxxxx nbsp xx conclude xxxx there xx a xxxxxxxxxxxxx significant xxxxxxxxxxxx between xxxxxx and xxxxx which xxxxxxx that xxx distribution xx gender xxxxxx different xxxxxx is xxx random xxx may xxxxxxx in xxx students xxxxxx their xxxxxxMore Articles From Statistics
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