A study seeks to identify the relationship between induction of labour and caesarean section births. Data are collected about 500 births. Variables were recorded about whether induction was required (yes/no) and whether a caesarean section was required (yes/no).

What is the most appropriate statistical test to test the relationship between these two variables?

1 points

QUESTION 2

1. Researchers want to know more about the reasons people choose to purchase different levels of private health insurance. They have a data set for 1000 people. The data set includes a variable that shows how much each person spent on private health insurance in the previous year (measured in whole dollars). The data set also contains a variable that breaks people into the following income brackets:
   • less than $30,000;
   • $30,001 to $70,000;
   • $70,001 to $100,000;
   • over $100,000

   To test whether income predicts expenditure on insurance, what is the most appropriate statistical test?

    

   		Multinomial logistic regression
   		ANOVA
   		Linear regression
   		T-test

1 points

QUESTION 3

1. Janene is interested in factors that predict success in the game of rugby. Her hypothesis is that those who larger players (measured in kilograms) will score more points over the season than smaller players.

   What statistical test is most appropriate for her to use to test her hypothesis?

   		Multinomial logistical regression
   		T-Test
   		Chi-squared
   		Linear regression

1 points

QUESTION 4

1. Courtnie is interested in the reading habits of children who are currently studying at home. Based o her literature review, Courtnie hypothesises that children between the ages of eight and twelve, who do not own their own technological device will spend more time reading books (measured in minutes per week) than children in the same age range who have their own device.

   What is the most appropriate statistical test for Courtnie to state she is using in her research proposal?

   		Binary logistical regression
   		Linear regression
   		Chi squared
   		T-test