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vladimir2022 [97]
3 years ago
14

Can you help me in this question?

Mathematics
1 answer:
gregori [183]3 years ago
3 0

Answer: I think its B

Step-by-step explanation: My friend answered it.

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Help me plz! Help me plz!
erik [133]
After converting to common denominator:

8/18, 7/18, 6/18, 5/18

so the next fraction is 4/18, but if you have to simplify it’s 2/9


6 0
3 years ago
A right triangle has legs that are 21 in. and 25 in. long. What is the area of the triangle?
vfiekz [6]

Answer:

The area of the right triangle is 262.5

Step-by-step explanation:

6 0
3 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
Read 2 more answers
Please help meeeeeee. image attached
Shtirlitz [24]

The midpoint between -4 and 8 is answer B) 2

8 0
3 years ago
249798.828806 rounded to the nearest ten
NNADVOKAT [17]

Answer: 249800

Step-by-step explanation:

Uhh you round it.

5 0
2 years ago
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