Answer:
10x2 + 2x + 13.
Step-by-step explanation:
10x2 + 3 - (-2x - 10) (Note you have to put the -2x - 10 in brackets).
= 10x2 + 3 + 2x + 10 (Distributing the negative over the brackets).
= 10x2 + 2x + 13.
Answer:
n= 4f/5+90
Step-by-step explanation:
f= 5(n−90)
/4 (simplify)
f * 4=5(n−90) (multiply 4 on both sides)
4f=5(n−90) (regroup)
4f/5
=n−90 (divide 5 on both sides)
4f/5
+90=n (add 90 to both sides)
I'd say angle A = angle B
arc tangent (angle B) = 150 / 555
<span><span><span>arc tangent (angle B) = 0.2702702703
</span>
angle B = 15.124 degrees
By the way 555 feet is the height of the Washington Monument.
</span>
</span>
Answer:
1. The null hypothesis is that there is no difference between the population means (in other words, there is no treatment effect).
2. The<u> alternative hypothesis</u> is that at least one of the population means is different from another (in other words, there is an effect Of at least one Of the treatments).
Step-by-step explanation:
In a statistical analysis, the statistician shares his participants into several groups and administers treatments to them. After administering the treatment, he might want to compare the values obtained to see if there is a difference. If he accepts the null hypothesis as true, that means that there was no difference between the population means. This can also be taken to mean that the result had no difference among the groups.
But if the alternative hypothesis was true, that means that the population means were not all equal and so, there was an effect from the treatment administered.
Answer:
a)
b)
Step-by-step explanation:
We have to build appropriate null and alternate hypothesis for the given scenarios.
a) Population mean, μ = $62,500 per year
The market research wants to find whether the mean household income of mall shoppers is higher than that of the general population.
We would use one-tail(right) test to perform this hypothesis.
b) Population mean, μ = 2.6 hours
The company want to know the average time to respond to trouble calls is different or not.
We would use two-tail test to perform this hypothesis.
