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seropon [69]
3 years ago
10

Write 128 as a product of primes

Mathematics
1 answer:
Lyrx [107]3 years ago
3 0

Answer:

2 x 2 x 2 x 2 x 2 x 2 x 2 = 128

OR

2^7

Step-by-step explanation:

2 is the only prime number you can multiply to get 128.

as such your answers are :

2^7

or

2 x 2 x 2 x 2 x 2 x 2 x 2.

(if you don't know yet, 2^7 is just a simple way to say 2 times itself 7 times.)

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According to Nielsen Media Research. of all the U.S. households that owned at least one television set, 83% had two or more sets
Rudik [331]

Answer:

The proportion of U.S. households that owned two or more televisions is 83%.

Step-by-step explanation:

To determine whether the proportions of U.S. households that owned two or more televisions is less than 83% or not let us perform a hypothesis test for single proportion.

<u>Assumptions:</u>

The sample size (<em>n</em>) selected by the local cable company is 300 which is quite large. Then according to the Central limit theorem the sampling distribution of sample proportion follows a normal distribution with mean <em>p</em> and standard deviation \sqrt{\frac{p(1-p)}{n} } .

Since the sampling distribution of sample proportions follows a normal distribution use the <em>z</em>-test for one proportion to perform the test.

<u>The hypothesis is:</u>

H_{0} : The proportion of U.S. households that owned two or more televisions is 83%, i.e. p=0.83

H_{1} :The proportion of U.S. households that owned two or more televisions is less than 83%, i.e. p< 0.83

<u>Decision Rule:</u>

At the level of significance α = 0.05 the critical region for a one-tailed <em>z</em>-test is:

\\ Z\leq -1.645\\

**Use the <em>z</em> table for the critical values.

So, if \\ Z\leq -1.645\\ the null hypothesis will be rejected.

<u>Test statistic value:</u>

z=\frac{\hat{p}-p}{\sqrt{\frac{p(1-p)}{n}}}

Here \hat{p} is the sample proportion.

Compute the value of \hat{p} as follows:

\hat{p}=\frac{X}{n} \\=\frac{240}{300}\\ =0.80

Now compute the value of the test statistic as follows:

z=\frac{\hat{p}-p}{\sqrt{\frac{p(1-p)}{n}}}\\=\frac{0.80-0.83}{\sqrt{\frac{0.83*(1-0.83)}{300} } } \\=-1.383

The test statistic is -1.383 which is more than -1.645.

Thus, the test statistic lies in the acceptance region.

Hence we fail to reject the null hypothesis.

<u>Conclusion:</u>

At 0.05 level of significance we fail to reject the null hypothesis stating that the proportion of U.S. households that owned two or more televisions is  83%.

6 0
3 years ago
The daily temperatures for the winter months in Virginia are Normally distributed with a mean of 59 F and a
yan [13]

Answer: A- 1

Step-by-step explanation:

6 0
3 years ago
Read 2 more answers
The table shows the results of rolling a number cube, with sides labeled 1 through 6, several times.
Free_Kalibri [48]

Answer with Step-by-step explanation:

we are given a event of rolling as die several times:

 Outcome:                                         [1 2 3 4 5 6]

Number of times outcome occurred: [10    6 4 8 6 6]

We have to find the experimental probability of rolling a 1 or a 5

 number of times 1 or 5 came up= 10+6=16

and total number of outcomes=  10+6+4+8+6+6=  40

P( rolling a 1 or a 5)=  

number of times 1 or 5 came up/ total number of outcomes

=   16/40

= 2/5

Hence, the experimental probability of rolling a 1 or a 5 is:

    2/5

3 0
4 years ago
Read 2 more answers
28 - 6(2x + 4) = 124​
Iteru [2.4K]

Answer: x = -12 is the correct answer

Step-by-step explanation: the moderator that deleted this if is so wrong then just tell me why is wrong if you are so smart.

5 0
4 years ago
Evaluate the limit of:<br> limx→2(5x+2x+4)
Soloha48 [4]

Answer:

Limit is 18

Step-by-step explanation:

Using direct substitution

5x+ 2x+ 4 = 5(2) + 2(2)+ 4 = 10+ 4+ 4= 18

8 0
3 years ago
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