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Darina [25.2K]
4 years ago
15

8 + 3 = −13 Solve for x

Mathematics
1 answer:
NemiM [27]4 years ago
6 0

Answer: Where us your x?

Step-by-step explanation:

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Ypu deposit $200 in an account that earns 4% simple interest. How much interest did you earn in 3 years?
Naya [18.7K]

Answer:

$1200

Step-by-step explanation:

we know that,

I=PTR/100=200*4*3/100=100*4*3=400*3=$1200

7 0
3 years ago
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Select all the expressions that show the distance between points A and B.
qwelly [4]

Answer:

0 -1-(-8)

0-1=-1

-1-(-8)

-1+8

=7

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3 years ago
Can you the nearest hundredth to 1.2983?
ozzi
I think so it’s 1.30
3 0
3 years ago
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Dragon drop each expression two correctly classify it as having a positive or negative product
ioda

Step-by-step explanation:

We multiply it to find the product

positive times positive = positive

positive times negative = negative

negative times positive = negative

negative times negative = positive

(-\frac{1}{3})(-\frac{1}{3})= \frac{1}{9}

Negative and negative is positive , so product is positive

(-\frac{1}{3})(\frac{1}{3})= -\frac{1}{9}

Negative and positive is negative , so product is negative

(\frac{1}{3})(-\frac{1}{3})= -\frac{1}{9}

positive and negative is negative , so product is negative

(\frac{1}{3})(\frac{1}{3})= \frac{1}{9}

positive and positive is positive , so product is positive

7 0
4 years ago
Some college graduates employed full-time work more than hours per week, and some work fewer than hours per week. We suspect tha
Alex_Xolod [135]

Answer:

a)Null hypothesis:\mu =40      

Alternative hypothesis:\mu \neq 40      

b) A Type of error I is reject the hypothesis that \mu is equal to 40 when is fact \mu is equal to 40c) We can commit a Type II Error, since by definition "A type II error is the non-rejection of a false null hypothesis and is known as "false negative" conclusion"Step-by-step explanation:Assuming this problem: "Some college graduates employed full-time work more than 40 hours per week, and some work fewer than 40 hours per week. We suspect that the mean number of hours worked per week by college graduates, [tex]\mu , is different from 40 hours and wish to do a statistical test. We select a random sample of college graduates employed full-time and find that the mean of the sample is 43 hours and that the standard deviation is 4 hours. Based on this information, answer the questions below"

Data given

\bar X=43 represent the sample mean

\mu population mean (variable of interest)

s=4 represent the sample standard deviation

n represent the sample size  

Part a: System of hypothesis

We need to conduct a hypothesis in order to determine if actual mean is different from 40 , the system of hypothesis would be:    

Null hypothesis:\mu =40      

Alternative hypothesis:\mu \neq 40      

Part b

In th context of this tes, what is a Type I error?

A Type of error I is reject the hypothesis that \mu is equal to 40 when is fact [tex]\mu is equal to 40

Part c

Suppose that we decide not to reject the null hypothesis. What sort of error might we be making.

We can commit a Type II Error, since by definition "A type II error is the non-rejection of a false null hypothesis and is known as "false negative" conclusion"

5 0
3 years ago
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