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Murljashka [212]
3 years ago
7

Fractions that are equivent to 4/12

Mathematics
2 answers:
AysviL [449]3 years ago
8 0

Answer:

1/3 2/6

Step-by-step explanation:

FinnZ [79.3K]3 years ago
3 0

Answer:

2/6 and 1/3

Step-by-step explanation:

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A ball is thrown straight up from the top of a building 144 ft tall with an initial velocity of 48 ft per second. The height
fgiga [73]

Answer:

180feet

Step-by-step explanation:

Given the function that models the height of a ball

s(t) = 144 + 48t − 16t^2.

At maximum height, the velocity is zero ie. ds/dt  = 0

ds/dt = 48 - 32t

0 = 48 - 32t

48 = 32t

t = 48/32

t = 1.5secs

Get the maximum height

s(t) = 144 + 48t − 16t^2.

s(1.5) = 144 + 48(1.5)-16(1.5)^2

s()1.5) = 144 + 72 - 16(2.25)

s(1.5) = 144 + 72-36

s(1.5) = 180 feet

Hence the maximum height attained by the ball is 180feet

6 0
3 years ago
-10 &lt; 3x + 2 &lt; 8<br><br>Please answer for 29 points
cupoosta [38]

Answer:

x=1 or 0

Step-by-step explanation:

because if X is 1 then 3*1 is 3 and 3+2 is five then it's bigger than -10 and smaller than 8

0*3 is 0 then 0 plus 2 is 2 which also works

6 0
3 years ago
___________ Qualitative Inferential Descriptive Quantitative statistics consists of organizing and summarizing information​ coll
Alika [10]

Answer:

<u>Descriptive</u> statistics consists of organizing and summarizing information​ collected, while <u>inferential</u> statistics use methods that generalize results obtained from a sample to the population and measure the reliability of the results.

Step-by-step explanation:

By definition, descriptive statistics summarize a given data set using measures of central tendency and measures of variability.  

Measures of central tendency include:

  • mean.
  • median.
  • mode.

Measures of variability include:

  • standard deviation.
  • variance.
  • the minimum and maximum variables.

By definition, inferential statistics are used to make generalizations about a population from data samples.

For example, you might ask a sample of 100 people if they like shopping. You could make a bar chart of yes or no answers (descriptive statistics) or you could use your research and then, reason which is the percentage of the population that likes shopping (inferential statistics).

4 0
4 years ago
You were assigned 225 pages to read. You finished ¼ of them. How many pages do you have left to read?
DENIUS [597]

Answer: 169 pages

Step-by-step explanation:

225-[1/4(225)]

225-56.25          ROUND DOWN

225-56

169 pages

7 0
3 years ago
Read 2 more answers
A professor wishes to discover if seniors skip more classes than freshmen. Suppose he knows that freshmen skip 2% of their class
KIM [24]

Answer:

We conclude that seniors skip more than 2% of their classes at 0.01 level of significance.

Step-by-step explanation:

We are given that a professor wishes to discover if seniors skip more classes than freshmen. Suppose he knows that freshmen skip 2% of their classes.

He randomly samples a group of seniors and out of 2521 classes, the group skipped 77.

<u><em /></u>

<u><em>Let p = percentage of seniors who skip their classes.</em></u>

So, Null Hypothesis, H_0 : p \leq 2%   {means that seniors skip less than or equal to 2% of their classes}

Alternate Hypothesis, H_A : p > 2%   {means that seniors skip more than 2% of their classes}

The test statistics that will be used here is <u>One-sample z proportion</u> <u>statistics</u>;

                                   T.S.  = \frac{\hat p-p}{{\sqrt{\frac{\hat p(1-\hat p)}{n} } } } }  ~ N(0,1)

where, \hat p = sample proportion of seniors who skipped their classes = \frac{77}{2521}

           n = sample of classes = 2521

So, <u><em>test statistics</em></u>  =  \frac{\frac{77}{2521} -0.02}{{\sqrt{\frac{\frac{77}{2521}(1-\frac{77}{2521})}{2521} } } } }

                               =  3.08

The value of the test statistics is 3.08.

Now at 0.01 significance level, <u>the z table gives critical value of 2.3263 for right-tailed test</u>. Since our test statistics is more than the critical value of z as 2.3263 < 3.08, so we have sufficient evidence to reject our null hypothesis as it will fall in the rejection region due to which <u>we reject our null hypothesis</u>.

Therefore, we conclude that seniors skip more than 2% of their classes.

6 0
3 years ago
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