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marusya05 [52]
3 years ago
11

Please help me with questions 3 and 4!!! It's really past due and I haven't been the best so far. Send help!!! (This is middle s

chool math.)

Mathematics
1 answer:
e-lub [12.9K]3 years ago
3 0

Answer:

3.) 4

4.) 4j=44

    4j/4=44/4

      j=11

Pls mark Brainliest :)

Step-by-step explanation:

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The graph of F(x), shown below, has the same shape as the graph of
yarga [219]

Answer:

x^3-1

Step-by-step explanation:

f(x)=g(x)-1 since was shifted down 1 unit                                        x^3-1

f(x)=g(x)+1 would have been a shift up of 1 unit                             x^3+1

f(x)=g(x-1) shifted right 1 unit                                                            (x-1)^3

f(x)=g(x+1) shifted left one unit                                                        (x+1)^3

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8 0
3 years ago
The mean SAT score in mathematics, M, is 600. The standard deviation of these scores is 48. A special preparation course claims
kupik [55]

Answer:

Step-by-step explanation:

The mean SAT score is \mu=600, we are going to call it \mu since it's the "true" mean

The standard deviation (we are going to call it \sigma) is

\sigma=48

Next they draw a random sample of n=70 students, and they got a mean score (denoted by \bar x) of \bar x=613

The test then boils down to the question if the score of 613 obtained by the students in the sample is statistically bigger that the "true" mean of 600.

- So the Null Hypothesis H_0:\bar x \geq \mu

- The alternative would be then the opposite H_0:\bar x < \mu

The test statistic for this type of test takes the form

t=\frac{| \mu -\bar x |} {\sigma/\sqrt{n}}

and this test statistic follows a normal distribution. This last part is quite important because it will tell us where to look for the critical value. The problem ask for a 0.05 significance level. Looking at the normal distribution table, the critical value that leaves .05% in the upper tail is 1.645.

With this we can then replace the values in the test statistic and compare it to the critical value of 1.645.

t=\frac{| \mu -\bar x |} {\sigma/\sqrt{n}}\\\\= \frac{| 600-613 |}{48/\sqrt(70}}\\\\= \frac{| 13 |}{48/8.367}\\\\= \frac{| 13 |}{5.737}\\\\=2.266\\

<h3>since 2.266>1.645 we  can reject the null hypothesis.</h3>
6 0
3 years ago
Read 2 more answers
9s - 5g = -4y, for s
Oksi-84 [34.3K]
S = (5g -4y)/9

hope this helps
4 0
4 years ago
12(6k+3)+4(7-5k) the distributive property simply each expression
hodyreva [135]
The distributive property: a(b + c) = ab + ac

12(6k + 3) + 4(7 - 5k) = 12(6k) + 12(3) + 4(7) + 4(-5k)

= 72k + 36 + 28 - 20k = 52k + 64
5 0
3 years ago
PLEASE HELP 12 POINTS
Assoli18 [71]

Answer:

5:5 (first box, pencils to pens)

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Probability of picking both: 5/10*3/10 = 15/100

3 0
3 years ago
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