Answer:
Mean weight gained of two goods is not significantly different under 0.05 or 0.01 significance level, but it is under 0.10 significance level.
Step-by-step explanation:
We need to calculate the z-statistic of the differences of sample means and compare if it is significant under a significance level.
Z-score can be calculated using the formula:
z=
where
- X is the mean weight gain for in the first three months after birth for babies using the Gibbs products.
- Y is the mean weight gain for in the first three months after birth for babies using the competitor products
- s(x) is the population standard deviation of the sample for Gibbs brand
- s(y) is the population standard deviation of the sample for competitor brand
- N(x) is the sample size for babies used Gibbs product
- N(y) is the sample size for babies used competitor product.
putting the numbers in the formula:
z=
≈ -1.51
and z-table gives that P(z<-1.51) = 0.0655
To conclude if the competitor good is significantly better, we need to choose a significance level and compare it to 0.0655.
For example, the difference in mean weight gained of two goods is not significant under 0.05 or 0.01 significance since 0.0655 is bigger than these values. But we can conclude that under 0.10 significance, competitor brand mean weight gain is significantly more than the Gibbs brand mean weight gain.
Bruce's dumbbells weigh 11 pounds each
Bruce has 14 dumbbells
we know that to calculate the total weigh of all the dumbbells we have to multiply weigh of each dumbbell with the total no of dumbbells
this is because by multiplying the no of dumbbells with weight of each one we get the altogether weight
so we will multiply weight of each dumbbell by total no. of dumbbells
by multiplying we get 14*11=156
therefore the altogether weight of dumbbells is 156 pounds.
Answer:
D, 9^4 * 8^4
Step-by-step explanation:
The rule is whenever you have multiplication inside arentheses and it is raised to a power, you distribute the power to both the number s and solve.
I confirmed D is right on a calculator also.