Question

2.

I am interested in if there is a pay difference between men and women nurses. Based on a study by ucsf male nurses make more. To study this I send an email to collect data. In my email I detail the study and ask confidentially for their income. I send the email to registered nurses all over the country based on hospitals who publish emails for nurses. I get a 20% response rate. Which of the following could be a bias of my results? Mark all that apply...

Group of answer choices

Men might possibly make more than women

Only certain hospitals have their nurses emails public facing

Only men who feel they make enough respond

Only women who feel they should be making more reply

Only women who feel they aren't making enough respond

Only men who feel they are making an acceptable wage repy.

for nurses, men make more then women

hospitals that publish emails for nurses may be more likely to pay evenly.

4.

I want to know if people who love turkey eat more calories during thanksgiving compared to people who don't eat turkey. Which type off test could I do?

Group of answer choices

2 proportion Z test

2 Sample Z-test

Chi-Squared Independence

2 Sample T-Test

2 Proportion Confidence Interval

Answer 1