To solve for the confidence interval for the population
mean mu, we can use the formula:
Confidence interval = x ± z * s / sqrt (n)
where x is the sample mean, s is the standard deviation,
and n is the sample size
At 95% confidence level, the value of z is equivalent to:
z = 1.96
Therefore substituting the given values into the
equation:
Confidence interval = 3 ± 1.96 * 5.8 / sqrt (51)
Confidence interval = 3 ± 1.59
Confidence interval = 1.41, 4.59
Therefore the population mean mu has an approximate range
or confidence interval from 1.41 kg to 4.59 kg.
-6x + 3 + x - 7...when ur adding expressions such as this, and there is a plus sign in between them, the parenthesis are not needed.
we now combine like terms...
-6x + x = -5x
3 - 7 = -4
and we are left with : -5x - 4 <==
66 more min. he used which could be 1 hour and 6 min.
Step-by-step explanation:
To find the slope intercept form of any equation using two points, you first need to find the slope. You can do this using the slope formula below.
m(slope) = (y2 - y1)/(x2 - x1)
In this equation, we find the slope by putting in the values we have given the points. The first point you have would be (x1, y1). So if your first point is (3, 1), you would put 3 in for x1 and 1 in for y1. Then you do the same for the second point using (x2, y2).
After you've solved that equation and got m, you can use point-slope form. Take your first point and your newly found slope and plug the values into the following equation.
y - y1 = m(x - x1)
After this, you can solve for y and that will be your slope intercept form.
