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ale4655 [162]
3 years ago
6

Pls help

Mathematics
1 answer:
alisha [4.7K]3 years ago
3 0

Answer:

i think it would be 11 cups

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Scott has 315 more stamps from the u.S. Than from Canada which is 55. Each stamp from the u.S. Is worth 49 cents. Scott wants to
saveliy_v [14]

Answer:

425

Step-by-step explanation:

Stamps from Canada are: 55

But Scott has 315 more stamps from the u.S. Than from Canada, so his stamps from U.S are: 315 + 55  = 370

=> the total number of stamps he has in his collection

= Stamps from Canada  + stamps from U.S

= 55 +  370

= 425

5 0
4 years ago
In a random sample of 380 cars driven at low altitudes, 42 of them exceeded a standard of 10 grams of particulate pollution per
alexdok [17]

Answer:

The test statistic for testing if the proportion of high-altitude vehicles exceeding the standard is greater than the proportion of low-altitude vehicles exceeding the standard is 3.234.

Step-by-step explanation:

We are given that in a random sample of 380 cars driven at low altitudes, 42 of them exceeded a standard of 10 grams of particulate pollution per gallon of fuel consumed.

In an independent random sample of 90 cars driven at high altitudes, 24 of them exceeded the standard.

Let p_1 = <u><em>population proportion of cars driven at high altitudes who exceeded a standard of 10 grams</em></u>.

p_2 = <u><em>population proportion of cars driven at low altitudes who exceeded a standard of 10 grams</em></u>.

So, Null Hypothesis, H_0 : p_1\leq p_2      {means that the proportion of high-altitude vehicles exceeding the standard is smaller than or equal to the proportion of low-altitude vehicles exceeding the standard}

Alternate Hypothesis, H_A : p_1>p_2      {means that the proportion of high-altitude vehicles exceeding the standard is greater than the proportion of low-altitude vehicles exceeding the standard}

The test statistics that will be used here is <u>Two-sample z-test statistics</u> for proportions;

                             T.S.  =  \frac{(\hat p_1-\hat p_2)-(p_1-p_2)}{\sqrt{\frac{\hat p_1(1-\hat p_1)}{n_1}+\frac{\hat p_2(1-\hat p_2)}{n_2} } }  ~  N(0,1)

where, \hat p_1 = sample proportion of cars driven at high altitudes who exceeded a standard of 10 grams = \frac{24}{90} = 0.27

\hat p_2 = sample proportion of cars driven at low altitudes who exceeded a standard of 10 grams = \frac{42}{380} = 0.11

n_1 = sample of cars driven at high altitudes = 90

n_2 = sample of cars driven at low altitudes = 380

So, the test statistics =  \frac{(0.27-0.11)-(0)}{\sqrt{\frac{0.27(1-0.27)}{90}+\frac{0.11(1-0.11)}{380} } }      

                                   =  3.234

The value of z-test statistics is 3.234.

7 0
3 years ago
Write the equation for 30 is 75% of what number​
Tatiana [17]

Answer:

40. make sure to follow me

7 0
3 years ago
I want to how they answer this question. What is the value of x?
mestny [16]
√(15+x) = 2x+3
take sqr for both side

15x+10=(2x+3)^2

15x+10=4x^2+9+2*2x*3
15x+10=4x^2+9+12x
4x^2-3x--1=0

solve it u will x=1,-1/4

4 0
3 years ago
Solve *plz be quick*
Ratling [72]

Answer:

9(10-2)=

90-18=72

11×7-23=54

100-15+23=108

16/8=2

Step-by-step explanation:

prove me wrong

3 0
3 years ago
Read 2 more answers
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