Answer:
-(r+8)
Step-by-step explanation:
-r-8
-(r+8)
That's all you can factor out of this!
HOPE THIS HELPS!
Answer:
Perpendicular lines have slope that are negative reciprocals.
The slope of the perpendicular line is M = -1/3.
Step-by-step explanation:
(4,-1) --> X = 4, Y = -1, M = -1/3
y = Mx + b
-1 = (-1/3)*4 + b
-1 = (-4/3) + b
-3/3 = (-4/3) + b
-3 = -4 + 3b
1 = 3b
b = 1/3
y = (-1/3)X + 1/3
Answer: you said help so I’m not going to give the actual answer, just how to do it.
Step-by-step explanation:
You have to find the answer first. You work out the top and then you work out the bottom. Then divide the top by the bottom. YIU will get a number woth a power. The power is x that is your answer.
Here is a way you can write an exponent on the phone (x^2) just so you don’t have to explain the 2 is an exponent
i am confused on where the exponent is supposed to be so could you please rewrite it and i will help you solve it!
Answer:
E. The entire population is measured in both cases, so the actual difference in means can be computed and a confidence interval should not be used.
Step-by-step explanation:
The entire population of Greek and Egyptian mathematicians was already measured by Amara. She can measure the actual difference in the mean. Therefore, she needn't use a confidence interval. It is mostly common for a researcher to be more interested in the difference between means than in the specific values of the means. The difference in sample means is used to compute the difference in population means.
Amara's sample is a random selection of Greek and Egyptian mathematicians. It is a smaller group drawn from the population that has the characteristics of the entire population. The observations and conclusions made against the sample data are attributed to the population. In this case, the entire position is measured.
A t-test is a type of inferential statistic used to determine if there is a significant difference between the means of two groups (Greek and Egyptian mathematicians) which may be related in certain features. It is mostly used when the data sets, like the data set recorded as the outcome from rolling a die 50 times, would follow a normal distribution and may have unknown variances. A t-test is used as a hypothesis testing tool, which allows testing of an assumption applicable to a population. Once the actual difference is known, a confidence interval should not be used.
