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Alekssandra [29.7K]
4 years ago
14

How many thousands equals 90 hundreds

Mathematics
1 answer:
sp2606 [1]4 years ago
8 0
Hello!

90 hundreds = 9,000. 9 x 1,000 = 9,000. There are 9 thousands in 90 hundreds.

Hope l heIped!
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4 years ago
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Nicole needs to spend at least 4 hours each week practicing the guitar. She has already practiced 2 1/3 hours this week. She wan
melisa1 [442]

Answer:

x>=5/6

Step-by-step explanation:

She's practiced 2 1/3 hours already. Therefore, she has 1 2/3 hours left to practice. Let x be the minimum number of hours she needs to practice on each of the remaining two days.

Splitting up the remaining hours into two days, we get (5/3) divided by 2, which is 5/6 hours per day.

x is greater than or equal to 5/6 hours per day.

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3 years ago
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New heat lamps are reported to have the mean lifespan of 100 hours with a standard deviation of 15 hours. Before replacing their
Tom [10]

Answer:

1

  The  correct option is  C

2

 The  correct option is C

3

The  correct option is A

4

The  correct option is B

Step-by-step explanation:

From the question we are told that

    The  population mean is  \mu =  100

     The  standard deviation is  \sigma  =  15

     The  sample size is  n  =  36

     The  sample mean is  \=  x =  105.1

Generally

    The  null hypothesis is  H_o:  \mu =  100 \  hours

     The  alternative hypothesis is  H_a  :  \mu  \ne  100\ hours

Given that the null hypothesis is  true then the  distribution of sample means  \mu_{\=  x }, from a sample size of 36 is  mathematically represented as

        \mu_{\= x } =  \mu

=>     \mu_{\= x } =  100

According to the Central Limit Theorem the test stated in the question is  approximately normally distributed if the sample size is sufficiently large(n  >  30 ) so given that the sample size is  large  n =  36

Then the test is normally distributed and hence the standard deviation is 15

Generally the standard error of mean is mathematically represented as

     \sigma_{\= x } =  \frac{ \sigma }{\sqrt{n} }

=>  \sigma_{\= x } =  \frac{15}{\sqrt{36} }

=>  \sigma_{\= x } = 2.5

Generally  the approximate probability of observing a sample mean of 105.1 or more is mathematically represented as

        P( \=  X   \ge 105.1 ) =1 -  P(\= X  <  105.1) = 1-  P(\frac{\= X -  \mu }{\sigma_{\= x }}

=>    P( \=  X   \ge 105.1 ) =1 -  P(\= X  <  105.1) = 1-  P(Z

From the z-table (reference calculator dot net )

             P(Z

So

  P( \=  X   \ge 105.1 )= 1 -  P(\= X  <  105.1) = 1-  0.97932

 P( \=  X   \ge 105.1 ) =0.02    

4 0
4 years ago
Ron is 5 years older than twice his cousins pats age. The sum of their ages is less than 35. What is the grates age pat could be
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The answer is 7 because if you multiply 7 with 5 than it will equal 35

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Simplifying square root
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Answer is A. 6
hope it helps
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