Answer:
Step-by-step explanation:
Answer:
Option B - False
Step-by-step explanation:
Critical value is a point beyond which we normally reject the null hypothesis. Whereas, P-value is defined as the probability to the right of respective statistic which could either be Z, T or chi. Now, the benefit of using p-value is that it calculates a probability estimate which we will be able to test at any level of significance by comparing the probability directly with the significance level.
For example, let's assume that the Z-value for a particular experiment is 1.67, which will be greater than the critical value at 5% which will be 1.64. Thus, if we want to check for a different significance level of 1%, we will need to calculate a new critical value.
Whereas, if we calculate the p-value for say 1.67, it will give a value of about 0.047. This p-value can be used to reject the hypothesis at 5% significance level since 0.047 < 0.05. But with a significance level of 1%, the hypothesis can be accepted since 0.047 > 0.01.
Thus, it's clear critical values are different from P-values and they can't be used interchangeably.
Answer:
C. 
Step-by-step explanation:
First, find the slope, m, of the line that passes through the two given points.
Slope = 
Next, determine the y-intercept, b.
The y-intercept is where the line intercepts the y-axis. The line intercepts the y-axis at y = 2. Therefore, b = 2.
Now, to get an equation of the line, substitute m = -1, and b = 2 in 
.
✅The equation would be:
Answer:
3 metres
Step-by-step explanation:
If y= distance (in meters) from the finish line
x= time in seconds after the beginning of the leg of relay race.
At x=0, when the race has not started,
From the runner's equation
y+4(0)=100
y=100 metres
Also, from his opponent's equation
y+3.8x=97
y+(3.8X0)=97
y=97
The distance needed by the runner to catch up to his opponent
= 100-97 =3 metres
