Question

EXERCISE 2: TESTABLE OBSERVATIONS Below are several observations that can inform a testable hypothesis. For each of the following observations: Determine if the observation is qualitative or quantitative. Write a hypothesis and a null hypothesis What would be your experimental approach? What are the dependent and independent variables? What are your controls both positive and negative? How will you collect your data? How will you present your data (e.g., chart, graph)? How will you analyze your data? 2. Sally comes to work sick; two days later, three of her coworkers are also sick. 3. You accidentally left a carton of milk on the counter all night, and you notice that the milk tastes worse than it usualy does when it is stored in the refrigerator.

Answer 1

ANSWER 2)

1. The above statement indicates a value representing the individuals affected by infection and hence the observation can be stated as a quantitative observation.
2. Hypothesis:-
   1. NULL HYPOTHESIS:- There is no significant relationship between interaction with sick individual and occurrence of sickness. (In other words, when there is interaction with sick individual will happen, the chances of occurrence of disease is less.)
   2. ALTERNATE HYPOTHESIS:- There is a statistically significant relationship between interaction with sick individual and occurrence of sickness.
3. Approach:- Basically, the subject should be considered in order to follow the track of occurrence to determine the occurrence period. So, in a particular time frame, a particular subject group can be used for experimental approach.
4. Variable
   1. ​​​​​​​DEPENDENT VARIABLE:- It is the output which is used to study the variation and hence the number of individuals who are sick can be considered as dependent variable.
   2. INDEPENDENT VARIABLE:- This variable can be controlled according to the experimental approach. Hence, the number of healthy individuals can be considered as independent variable.
5. Positive control:- The healthy individuals along with the conditions in which they are living like the temperature, humidity can be considered in terms of positive control.
6. Negative control:- The individuals who did not interact with sick individual or the one who will not show occurrence of disease.
7. Collection of data
   1. ​​​​​​​The individuals which are considered for the experiment can be checked regularly or on a daily basis in order to collect data regarding occurrence of disease (more specifically the symptoms)
8. Presentation of data:-
   1. ​​​​​​​The data can be collected and listed in a statistical way including bars, graphs and so on.
9. Analysing the data:-
   1. ​​​​​​​This basically depends upon the results. If the number of individuals getting sick is more, a specific relation can be established regarding its occurrence. So, this can help to identify the output and finalise a measure.