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irakobra [83]
3 years ago
8

List all the factors of 96

Mathematics
2 answers:
koban [17]3 years ago
7 0

Answer:

Factors of 96: 1, 2, 3, 4, 6, 8, 12, 16, 24, 32, 48, 96

Step-by-step explanation:

Please mark brainliest and have a great day!

Sliva [168]3 years ago
6 0

1,2,3,4,6,8,12,16,24,32,48,96

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Elan Coil [88]

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3 years ago
Find an equation for the line that passes through the points (-5,-3) and (1,-1)
Hatshy [7]

Answer:

y = 1/3x - 4/3

Step-by-step explanation:

slope is change in y over the change in x

-1 +3/ 1+5= 2/6= 1/3

y+1 = 1/3(x-1)

y + 1 = 1/3x - 1/3

y = 1/3x - 4/3

5 0
3 years ago
Elizabeth works part-time to help pay for college. She has worked for the last 14 days without a day off for a total of 48 hours
Zinaida [17]
The answer if I am correct should be C. 6, since if you divide forty-eight by two you get twenty-four. Twenty-four divided by four equals six, and twenty-four divided by three equals eight, eight is the number that would be the remaining amount of days. Hope this helps you and have an amazing day!
3 0
3 years ago
Read 2 more answers
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
3 years ago
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