I am unsure how to write hypotheses for my experiments for pH, salinity using tirration(agno3), turbidity, conductivity of water samples. The teacher wants the hypothesis in this format
Hypothesis format - If (relationship between independent variable and dependent variable) then (prediction: independent variable increases, dependent variable?) because (researched information) in text reference
this is what I wrote
Conductivity
If Nudgee beach has the highest conductivity level then the further away the sample is from Nudgee beach the lower the conductivity level will be because it contains Na+ and Cl-¬ ions which allow the electricity to pass. (Smith, Chemistry in Use, 2006, p. 77)
Turbidity
If the suspended solids are present in water then the higher the number of suspended solids the higher the level of turbidity because the turbidity sensors measure the amount of particles present in the sample (Smith, Chemistry in Use, 2006, p. 72).
You seem to have the right idea.
Your hypotheses for conductivity and turbidity look good and follow the given format. They clearly state the relationship between the independent variable and dependent variable, make a prediction, and provide a reason based on researched information. Well done!
For pH and salinity experiments using titration with AgNO3, you can follow a similar format:
pH
If the solution has a higher concentration of acidic substances, then the pH value will be lower because acidic substances release H+ ions, resulting in a lower pH value (Johnson, Introductory Chemistry, 2010, p. 98).
Salinity
If the water sample contains a higher concentration of dissolved salts, then the salinity level will be higher because dissolved salts increase the total concentration of dissolved ions in the water (Anderson, Environmental Science, 2015, p. 122).
Just make sure to adjust the statements to reflect the specific concepts you are investigating and to provide appropriate references for your researched information.
Remember, when writing hypotheses, you want to consider the cause-and-effect relationship between the independent variable (what you are changing or manipulating) and the dependent variable (what you are measuring or observing). Your hypotheses should be based on prior knowledge and research to provide a scientific rationale for your predictions.