Problem #2 on your calculation sheet A researcher is interested in whether having seasonal allergies can affect a person’s health. (Be careful when you describe your results! The researcher may not be doing a very good job of measuring health.) The data set from Problem #2 on your calculation sheet shows the number of doctor visits made by a random sample of adults during the past year. Group 1 shows the number of doctor visits made by people who do not have seasonal allergies; group 2 shows the number of doctor visits made by people who do have seasonal allergies. We would like to know if there a difference in the number of doctor visits made by seasonal allergy suffers versus those those who do not suffer from seasonal allergies. Is this an experiment or quasi-experiment? Explain your answer. 

Have you started a Yuja Proctoring Session by using the link on Blackboard? If not, please take a moment to begin one before proceeding with the test. 

Problem #3 in your calculation sheet. Report the outcome of the hypothesis test and how you decided whether or not to reject the null hypothesis.

Based on your previous answer regarding central tendency, what is the average score for Bob’s employees?

Problem #3 in your calculation sheet. How would you explain the results of the related samples t-test to a non-statistician? Explain any conclusions about the differences observed, or the lack thereof. If there was a statistically significant difference, be specific about the direction of the difference. You do not need to include your APA statistical values, just explain the results in sentence format. 

Problem #3 on your calculation sheet. What percentage of the variance of pollution provided can be accounted for by the media campaign? (Report this as a whole number, representing a percentage, rather than a decimal. For example, if the correct answer were .74, or 74%, you would write “74” in the space provided)

Did you begin a Yuja Proctoring Session? If not, start one now before proceeding to the rest of the test. 

What proportion of scores (based on the entire population) are between 5 and 17?

Problem #1 on your calculation sheet What value did you obtain for the single-sample t-test? 

When homologous chromosomes fail to separate in meiosis,  the resulting offspring can have too many chromosomes. This failure of separation is called: