I have to do a paper that would identify a research issue, problem, or opportunity that uses data that has absolute zero measurements, such as interval and ratio level data. I chose the temperature in my city over the course of a month, what would be the issue, problem or opportunity with weather over the course of a month. I need a hypothesis!
Please see http://www.weather.com/weather/monthly/USCA0638?month=1
You are using temperature as your independent variable (what you "control") not the dependent variable (what you observe). Formulate both a numerical and verbal hypothesis.
It cannot be the following ideas that have I received from a previous posting because the data is not available:
A problem could be related to energy consumption. I could look at the temperature of the city over the course of the month and make a hypothesis stating that as temperature rises, will more people use their air conditioning thus causing a shortage of electricity?
Null hypothesis: Energy consumption remains the same as temperatures rises
Alternative hypothesis: Energy consumption increases as the temperature rises
An opportunity could be related to sales.
As the temperature rises, will more ice cream or bottles of water be sold?
Null hypothesis: The sale of ice cream remains the same as temperatures rises
Alternative hypothesis: The sale of ice cream increases as the temperature rises
Issues that could arise could be connected to the economy
For examples, as temperatures fall, less people might shop, and the economy would go down.
Null hypothesis: Consumer purchasing remains the same as temperatures decreases
Alternative hypothesis: Consumer purchasing increases as the temperature decreases
I have two ideas for you.
(1) Why don't you try something completely weather-related?
In the month of September, does the amount of precipitation increase (or decrease ... I'm hypothesizing that it increases, because I feel like there are more thunderstorms when it's really hot out) as the temperature increases?
Null hypothesis: The precipitation rate does not vary with temperature.
Alternative hypothesis: The precipitation rate increases as ...
Hypothesis testing for population temperature
In order to monitor the ecological health of the Florida Everglades, various measurements are recorded at different times. The bottom temperatures are recorded at the Garfield Bight station and a mean temperature of 30.4°C is obtained for the temperatures recorded on 61 different days. Assuming that σ = 1.7°C, test the claim that the mean population temperature is greater than 30.0°C. Use a 5% level of significance.
1. State the Null Hypothesis and the Alternative Hypothesis.
2. Determine the test statistic.
3. Determine the P-value.
4. Make a decision regarding the hypotheses based on the P-value and the Level of Significance.