Answer with explanation:
To test the Significance of the population which is Normally Distributed we will use the following Formula Called Z test
→p(Probability) Value when ,z=3.756 is equal to= 0.99992=0.9999
⇒Significance Level (α)=0.01
We will do Hypothesis testing to check whether population mean is different from 25 at the alpha equals 0.01 level of significance.
→0.9999 > 0.01
→p value > α
With a z value of 3.75, it is only 3.75% chance that ,mean will be different from 25.
So,we conclude that results are not significant.So,at 0.01 level of significance population mean will not be different from 25.
Answer:
<h3>C. 800</h3>
Step-by-step explanation:
Given the equation used to calculate the amount of profit, p, made from selling n candy bars expressed as p = 1.50n – 500
To find the number of candies sold for $700, we are going to substitute p = $700 into the given expression and find n as shown;
700 = 1.50n - 500
Add 500 to both sides
700+500 = 1.50n-500+500
1200 = 1.50n
Divide both sides by 1.50
1200/1.50 = 1.50n/1.50
800 = n
Rearrange
n = 800
Hence 800 candy bars must be sold to make $700 profit
Answer:
the slope of the regression equation for predicting our Exam 2 scores from Exam 1 scores is 0.492
And the y-intercept of the regression equation for predicting our Exam 2 scores from Exam 1 is 33.688
Step-by-step explanation:
Given the data in the question;
mean X" = 86
SD σx = 10
Y" = 76
SD σy = 8.2
r = 0.6
Here, Exam 2 is dependent and Exam 1 is independent.
The Regression equation is
y - Y" = r × σy/σx ( x - x" )
we substitute
y - 76 = 0.6 × 8.2/10 ( x - 86 )
y - 76 = 0.492( x - 86 )
y - 76 = 0.492x - 42.312
y = 0.492x - 42.312 + 76
y = 0.492x + 33.688
Hence, the slope of the regression equation for predicting our Exam 2 scores from Exam 1 scores is 0.492
And the y-intercept of the regression equation for predicting our Exam 2 scores from Exam 1 is 33.688
Answer:
x=10 5x=50 2x=20
Step-by-step explanation:
5x+2x+110=180
180-110=70
7x=70
x=10
5*10=50
2*10=20
