When a researcher <u>decreases </u>the probability of making a type I error, he or she <u>increases </u>the probability of making a type ii error.
A type I error means that the null hypothesis is rejected if it is actually true. This means concluding that a result is statistically significant if it arises purely by chance or by unrelated factors. The risk of making this mistake is the chosen significance level (alpha or alpha).
The null hypothesis is that the person is innocent while the alternative is guilty. A Type I error in this case means that the person has not been found innocent and has been put in jail, when in fact they are innocent.
Learn more about type I error here: brainly.com/question/16012410
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The answer for the given question is explained below.
<u>Explanation</u>:
public class Parking Meter
{
int time Left = 0;
int max Time;
public Parking Meter( int max ){
max Time = max;
}
public boolean add ( int coin )
{
if ( coin == 25 )
{
if ( time Left + 30 < max Time )
{
time Left += 30;
return true;
}
}
return false;
}
public void tick()
{
if ( time Left > 0 )
{
time Left -= 1;
}
}
public boolean is Expired()
{
return time Left == 0;
}
}
Answer:James Hill, George Gould, and Cornelius Vanderbilt
Explanation: ;)
Payroll deductions are not same for all different employees so it is false
Answer: it made them more closer in relationship status
