3. What is a reasonable r-value for the scatterplot below?
O r=1
or=0.333
O r=0.972
or= -0.976

Answer:

B.

Step-by-step explanation:

That's like the only answer that makes sense.

Answer:Minneapolis was colder because −14<−23.

Step-by-step explanation:Here are the low temperatures (in Celsius) for one week in Juneau, Alaska:

Monday Tuesday Wednesday Thursday Friday Saturday Sunday

5 -1 -6 -2 3 7 0

Arrange them in order from coldest to warmest temperature.

On a winter day, the low temperature in Anchorage was 23 degrees below zero (in ∘C ) and the low temperature in Minneapolis was 14 degrees below zero (in ∘C ). Sophia wrote,

Answer:

A

Step-by-step explanation:

It’s a

Answer:

62859.23

Step-by-step explanation:

our equation is as follows

[tex]PV(1+\frac{i}{n})^{nt)}\\\\15000(1+\frac{.12}{12})^{12*12}\\15000(1+.01)^{144}\\\\62859.23[/tex]

Answer:

C

Step-by-step explanation:

7-7 is wrong

Answer:

12 oz

Step-by-step explanation:

Answer:

18.84

Step-by-step explanation:

To find the diameter of an question, multiple the radius by 2, since the radius always covers half of the circular clock. Then multiple 12 x pi = 18.84.

(pi = 3.14)

Answer:

18.25

Step-by-step explanation:

Answer:

Hello your question is poorly written below is the complete question

An actuary has discovered that policyholders are three times as likely to file two claims as to file four claims. If The number of claims filed has a Poisson distribution. Compute the variance of the number of claims filed. You can use, without a proof, what is the variance of a Poisson distribution is equal to its mean

answer : variance = 2

Step-by-step explanation:

compute the variance of the number of claims filed

x = number of claim filed

For Poisson distribution

mean = variance = Л

∴ Variance = 2

Answer:

0.01521

Step-by-step explanation:

The Margin of Error for Difference in Proportions is given as:

z × √p1 × (1 - p1)/n1 - p2 × (1 - p2)/n2

z = z score for 95% confidence interval

= 1.96

In 2018, out of 1542 respondents, 415 said it was the most important.

p1 = x1/n1

x1= 326 n1 = 1323

p1 = 326/1323

0.246409675

Approximately = 0.246

In 2012, out of 1323 respondents, 326 said it was the most important.

p2 = x2/n2

x2 = 415, n2 = 1542

p2= 415/1942

p2 = 0.2136972194

Approximately = 0.214

Margin of Error =

1.96 × √0.246× (1 - 0.246)/1323- 0.214 × (1 - 0.214)/1542

1.96 × √0.0005699169 - 0.0005097276

1.96 × √(0.0000601893)

1.96 × 0.0077581763

= 0.0152060256

Approximately = 0.01521

Therefore, Margin of Error = 0.01521

You can use the formula for margin of error for difference in proportion to find the margin of error with 95% confidence.

The margin of error with 95% confidence for the given data is given by

MOE = 0.32

Suppose we've two samples with sample sizes [tex]n_1[/tex] and [tex]n_2[/tex] respectively. Let the interested quantities found out in those samples out of their sample sizes are  [tex]x_1[/tex] and [tex]x_2[/tex] respectively. Then we have the margin of error for difference in proportion to find the margin of error as:

[tex]MOE = Z_{\alpha/2} \times \sqrt{\dfrac{p_1(1-p_1)}{n_1} + \dfrac{p_2(1-p_2)}{n_2}}[/tex]

where we have:

[tex]p_1 = \dfrac{x_1}{n_1}\\\\p_2 = \dfrac{x_2}{n_2}[/tex]

and

[tex]\alpha = \text{Level of significance}[/tex]

[tex]Year = 2015\\n_1 = 1542\\x_1 = 415\\\\Year = 2012\\n_2 = 1323\\x_2 = 326\\\\\alpha = 100-95\% = 1-0.95 = 0.05[/tex]

For 95% confidence, we have Z score as 1.96

The proportions are calculated as:

[tex]p_1 = \dfrac{415}{1542} = 0.269\\\\p_2 = \dfrac{326}{1323} = 0.246[/tex]

Thus, margin of error is calculated as

[tex]MOE = 1.96 \times \sqrt{\dfrac{0.269 \times 0.731}{1542} + \dfrac{0.246 \times 0.754}{1323}} = 1.96 \times \sqrt{0.000127 + 0.00014}\\\\MOE = 1.96 \times 0.01634 = 0.032[/tex]

The margin of error with 95% confidence for the given data is given by

MOE = 0.32

Learn more about margin of error here:

https://brainly.com/question/4757147

Answer:

it is 9y-1

Step-by-step explanation:

You have to simplify the expressions.

Answer:

I am so sorry I dont get it

Answer:

if the scale factor is asking for how much the square was scaled up then it would be 1,938 if its asking for the fraction to be simplified then find the amount it was scaled up it would be 45

Step-by-step explanation:

Answer:

A. 60w+350

B.1250

Step-by-step explanation:

w weeks later money =

Money first account -125+25w

Money second acount-225+35w

Total-60w+350

15 weeks =60(15)+350= 900+350=1250

Answer:

0.593, 0.9, 5.392, 5.932

Step-by-step explanation:

hope this helps^-^

Answer:

We accept the null hypothesis that the  breaking strength mean is less and equal to 1750 pounds and has not increased.

Step-by-step explanation:

The null and alternative hypotheses are stated as

H0:  u ≥ 1750   i.e the mean is less and equal to 1750

against the claim

Ha: u > 1750  ( one tailed test)  the mean is greater than 1750

Sample mean = x`= 1754

Population mean = u = 1750

Population deviation= σ = 65 pounds

Sample size= n = 100

Applying the Z test

z= x`- u / σ/ √n

z= 1754- 1750 / 65/ √100

z= 4/6.5

z= 0.6154

The significance level alpha = 0.1

The z - value at 0.1 for one tailed test is ± 1.28

The critical value is z > z∝.

so

0.6154 is < 1.28

We accept the null hypothesis that the  breaking strength mean is less and equal to 1750 pounds and has not increased.

Answer:

The model and the actual building would be similar

Step-by-step explanation:

Answer:

his speed is 2 meters per second

Answer:

his speed is 2 meters per second

Step-by-step explanation: none

Answer:

D because 9 + 5 = 14 and one variable by itself is equal to 1 so 14 + 1 = 15 add the variable, 15x

$4.60= 49 coins ( she only had dimes and nickles)

100 dimes= $1.00 times 4 is 400 dimes

12 nickels= .60 cents

                                              all of this will = to $4.60

Answer:

Step-by-step explanation:

The sample proportion [tex]\hat p = \dfrac{50}{200}[/tex]

[tex]\hat p = 0.25[/tex]

The null hypothesis and the alternative hypothesis:

[tex]H_o: p = 0.20 \\ \\ H_1 : p > 0.20[/tex]

Thus; the test statistics is:

[tex]Z = \dfrac{\hat p - p_o}{\dfrac{p_o(1-p_o)}{n} }[/tex]

[tex]Z = \dfrac{0.25 -0.20}{\sqrt{\dfrac{0.20(1-0.20)}{200} }}[/tex]

[tex]Z = \dfrac{0.05}{\sqrt{\dfrac{0.16}{200} }}[/tex]

[tex]Z = \dfrac{0.05}{\sqrt{0.0008 }}[/tex]

[tex]Z = 1.768[/tex]

P-value = 2 × P(Z< - 1.768)

From the z tables

P-value = 2 × 0.03853

P-value = 0.07706

Thus, the p-value is 0.05 < P-value < 0.10

Answer:

x = 24

Step-by-step explanation:

20 x 6 = 120

5 x 24 = 120

5(24) divided by 6 = 120/6 = 20

hope i helped you!

Answer:

Step-by-step explanation:

Move the decimal place to the right until you get 3.81, that is 5 places. When you move a decimal place to the right, you have to subtract from the power.

[tex]3.81*10^-^5[/tex]

Answer:

3.81x10^-5

Step-by-step explanation:

Answer:

6

Step-by-step explanation:

Answer:

a= 12

b= 9

I hope this helps

Answer:

a=12

b=9

Step-by-step explanation:

b=0.75a

a+b=21

a+0.75a=21

1.75a=21

a=12

a+b=21

12+b=21

b=9

Answer:

-18x^2+17x-9

Step-by-step explanation:

Answer:

The answer is : x = 130 degrees

Answer:

x must be a negative i mean it has to how tfk do you get zero at an answer what kn the world

Answer:

the minimum number of bits needed for quantization is 7

Step-by-step explanation:

Given the data in the question;

if quantization is Δv, then the maximum quantization Error is Δv/2

now if we split up the whole range  from -[tex]m_{p}[/tex] to [tex]m_{p}[/tex] evenly into L levels, so

Δv = [tex]2m_{p}[/tex] / L

Δv / 2 = [tex]m_{p}[/tex] / L

given that the error must be at most 1% of [tex]m_{p}[/tex],

1%[tex]m_{p}[/tex] = [tex]m_{p}[/tex] / L

1/100 × [tex]m_{p}[/tex] = [tex]m_{p}[/tex] / L

100 = L

now L must be a factor of 2 to be binary encoded,

so lets consider;

L = 128

2ⁿ = 128¹

2ⁿ = 2⁷

n = 7

Therefore, the minimum number of bits needed for quantization is 7