Answer:
μ > 21.21
Test statistic = 1.217
Kindly check explanation for more details
Step-by-step explanation:
The null hypothesis, H0 : μ = 21.21
Alternative hypothesis, H1 : μ > 21.21
The test statistic :
(xbar - μ) ÷ (s/sqrt(n))
(21.212 - 21.21) ÷ (0.01 / √2)
= 1.217
The critical value :
From the t distribution :, one tailed = 2.434
Decision region :
Reject H0 if test statistic > critical value
1.217 < 2.434 ; We fail to reject the null ` ; and conclude that there is not enough evidence to support the claim.
If we fit the data as calories as a function of wt loss/week, we need to arrange the data first from lowest to highest wt loss/week lbs and calories. Then, the set of points can be plotted in a graph and a graphical method of line fitting can be used. Curve fitting programs (which are also in the calculator) can be used. The result is:
y = -266.5741x + 2246.5116
The value of R² is 0.7109. The fit is not very good since R² is quite far from 0.99.
Answer:
Step-by-step explanation:
This is your eqaution right?
4y=8x+3 , 2y=8x-3
This equation has one solution
Answer:
B
Step-by-step explanation:
The dots are pretty close to each other and are going negatively so there is a correlation ( so C and D can't be right) and the dots are going negative ( so A can't be right) meaning B is right :)
To get the price marked up you would multiply 27 by 0.75, which is 75% of the cost, and then add it to 27 which would give you the $27+75% markup.