Answer: D. Predictive validity
Step-by-step explanation: Predictive validity can be explained as a method of determining the degree or level of correctness of a prediction using pre-existing information or data and values obtained from the actual measurement.
In the scenario above, the researchers investigates the correlation or relationship between the predicted value obtained using a pre- admission HESI examination, high school GPA, and SAT scores and the actual grade received upon completion of the first year. This process is to analyze or determine the validity of our prediction.
Answer:
Step-by-step explanation:
Given that a local tennis pro-shop strings tennis rackets at the tension (pounds per square inch) requested by the customer. Recently a customer made a claim that the pro-shop consistently strings rackets at lower tensions, on average, than requested. To support this claim, the customer asked the pro shop to string 17 new rackets at 59 PSI. Upon receiving the rackets, the customer measured the tension of each and calculated the following summary statistics: sample mean = 56, standard deviation = 2.4 PSI.
Whenever we select alpha as 5% = 0.05 this means that whenever p value got from hypothesis test is less than this we reject null hypothesis. Otherwise we accept null hypothesis
C. The smallest value of p value that you can use and still reject H0 is 0 .05.
Answer:
Protons in every atom of an element
Step-by-step explanation:
The number of protons in an element is what determines the atomic number. Take Aluminum for instance. There's thirteen protons in the element of aluminum and the atomic number for that element is thirteen.
Hope this helps! :)
