Answer:
Step-by-step explanation:
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thats all i know
According to PEMDAS, these are the steps for evaluating this equation -
3-9=-6
-6 x 5 = -30 - 1 = -31
-31 x 6 = -186, + 2 = -184
Now our first answer is -184 (I think this is correct)
Next thing we'll do is the second equation
8-2 = 6
6 x 7 = 42
42 + 4 = 46
Now, we can divide :) -184 / 46 equals -4
Hope this helps :D!
Hi there!
This gets pretty easy once you understand how to do these kinds of problems. Let's look at the words in the question.
Adison earned 25$. We can push that to the side.
She loaned her friend 18$, which means she took some money away from her first part of it.
25 - 18 = 7$. Now she has 7$ left. (A calculator would be useful to answer these!)
Now, let's put the 7 to the side and check out the rest of the equation. Looks like Adison's grandmother gave her 50 more dollars, and we know that more means to add.
50 + 7 = 57$.
Now, the final part of the question says she ended up with 86$ because she had money before she earned more. To see how much money she had originally, we can subtract 86 from 57.
86 - 57 = 29$.
We now understand that Adison originally had 29$ before earning anymore money.
Hope this helps!
Answer:
18.67% probability that the sample proportion does not exceed 0.1
Step-by-step explanation:
Problems of normally distributed samples are solved using the z-score formula.
In a set with mean 
and standard deviation 
, the zscore of a measure X is given by:
The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.
For the sampling distribution of a sample proportion, we have that 
In this problem, we have that:
What is the probability that the sample proportion does not exceed 0.1
This is the pvalue of Z when X = 0.1. So
has a pvalue of 0.1867
18.67% probability that the sample proportion does not exceed 0.1
