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Artemon [7]
1 year ago
14

Can anyone answer this?

Mathematics
1 answer:
elena-14-01-66 [18.8K]1 year ago
7 0
I believe yes, no, no, no but I am not sure
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HELPPP ME I NEED HELP
wariber [46]

Answer:

I think the answer is

no

no?

yes

yes

yes

no

Step-by-step explanation:

I'm not really sure if this is correct but from my textbook it says that the answer cannot have a math problem in it (E.g x = 1 + 2.3).

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8 0
2 years ago
How wide is a rectangle with a length of 38 cm and 8 dm perimeter?
Lesechka [4]
Perimeter is all four sides added together, therefore.... 
 
38+38= 76

8dm= 80cm
80cm*2=160 cm

76+160= 236<span />
8 0
2 years ago
Read 2 more answers
It took 3/4h to complete 1game of cards.How many games can be completed 2 1/4h?
Crank
I would prefer to solve this in a decimal form
I will show this to u in 2 ways
1:.75::X:2.25
(1*2.25)/.75x
2.25/.75x
X=3

2.25/.75=3
when we divide the number of hours played by hors for one game we get the number of games that could be played
7 0
3 years ago
I need help in khan academy ASAP!!
Anika [276]
The answer for the question is y = 3x + 5
3 0
2 years ago
A researcher claims that the variation in the salaries of elementary school teachers is greater than the variation in the salari
guajiro [1.7K]

Answer:

a

The null hypothesis is  H_o :  \sigma^2_1 = \sigma^2 _2

The alternative hypothesis is H_a :  \sigma_1 ^2 > \sigma^2_2

b

F_{critical} = 1.8608

c

F = 2.9085

d

    The decision rule is  

Reject the null hypothesis

e

There is sufficient evidence to support the researchers claim

Step-by-step explanation:

From the question we are told that

 The first sample size is  n_1 = 30

 The sample variance for elementary school is  s^2_1 = 8324

 The second sample size is  n_2 = 30

  The sample variance for the secondary school is  s^2_2 = 2862

   The significance level is  \alpha = 0.05

The null hypothesis is  H_o :  \sigma^2_1 = \sigma^2 _2

The alternative hypothesis is H_a :  \sigma_1 ^2 > \sigma^2_2

Generally from the F statistics table  the critical value of \alpha = 0.05 at first and  second degree of freedom df_1 = n_1 - 1 = 30 - 1 = 29 and  df_2 = n_2 - 1 = 30 - 1 = 29 is  

         F_{critical} = 1.8608

Generally the test statistics is mathematically represented as

       F = \frac{s_1^2 }{s_2^2}

=>   F = \frac{8324 }{2862}

=>   F = 2.9085

Generally from the value obtained we see that  F >  F_{critical } Hence

   The decision rule is  

Reject the null hypothesis

    The conclusion is  

  There is sufficient evidence to support the researchers claim

   

4 0
2 years ago
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