To make green paint, 3 parts yellow paint are mixed with 2 parts blue paint. Janis has 12 L of blue

Find the range for the following data: 33 , 30 , 98 , 58 , 14 , 51 , 16 , 44

bulgar [2K]

Answer:

Thanks for asking!

Step-by-step explanation:

The answer is 84

6 0

4 years ago

What is the equation of a horizontal line that has a y-intercept of 3?<br> a. b. <br> c. d. -1/6

Mama L [17]

Y = 3...I believe in standard form, this would be written as : y = 0x + 3

y = an integer is a horizontal line...and if u have x = an integer, it would be a vertical line

4 0

3 years ago

36 – 0.0048 = ? A. 35.9952 B. 35.1520 C. 35.0048 D. 36.0048

Tems11 [23]

If you would like to solve 36 - 0.0048, you can calculate this using the following step:

36 - 0.0048 = 35.9952

The correct result would be A. 35.9952.

6 0

3 years ago

Read 2 more answers

A child can explain that 3x2 represents three sets of two

pickupchik [31]

A child can explain that 3×2 represents 3 sets of 2. Concrete operational, mathematical transformations. A child doesn't sneak a cookie when his mom outside because he thinks that she can see what he sees.

7 0

4 years ago

Two different types of polishing solutions are being evaluated for possible use in a tumble-polish operation for manufacturing i

Nina [5.8K]

Answer:

$z=\frac{0.843-0.653}{\sqrt{0.748(1-0.748)(\frac{1}{300}+\frac{1}{300})}}=5.358$

$p_v =2*P(Z>5.358) = 4.2x10^{-8}$

Comparing the p value with the significance level given $\alpha=0.05$ we see that $p_v$ so we can conclude that we have enough evidence to reject the null hypothesis, and we can say that we have singificantly differences between the two proportions.

Step-by-step explanation:

Data given and notation

$X_{1}=253$ represent the number with no defects in sample 1

$X_{2}=196$ represent the number with no defects in sample 1

$n_{1}=300$ sample 1

$n_{2}=300$ sample 2

$p_{1}=\frac{253}{300}=0.843$ represent the proportion of number with no defects in sample 1

$p_{2}=\frac{196}{300}=0.653$ represent the proportion of number with no defects in sample 2

z would represent the statistic (variable of interest)

$p_v$ represent the value for the test (variable of interest)

$\alpha=0.05$ significance level given

Concepts and formulas to use

We need to conduct a hypothesis in order to check if is there is a difference in the the two proportions, the system of hypothesis would be:

Null hypothesis: $p_{1} - p_2}=0$

Alternative hypothesis: $p_{1} - p_{2} \neq 0$

We need to apply a z test to compare proportions, and the statistic is given by:

$z=\frac{p_{1}-p_{2}}{\sqrt{\hat p (1-\hat p)(\frac{1}{n_{1}}+\frac{1}{n_{2}})}}$ (1)

Where $\hat p=\frac{X_{1}+X_{2}}{n_{1}+n_{2}}=\frac{253+196}{300+300}=0.748$

z-test: Is used to compare group means. Is one of the most common tests and is used to determine whether the means of two groups are equal to each other.

Calculate the statistic

Replacing in formula (1) the values obtained we got this:

$z=\frac{0.843-0.653}{\sqrt{0.748(1-0.748)(\frac{1}{300}+\frac{1}{300})}}=5.358$

Statistical decision

Since is a two sided test the p value would be:

$p_v =2*P(Z>5.358) = 4.2x10^{-8}$

Comparing the p value with the significance level given $\alpha=0.05$ we see that $p_v$ so we can conclude that we have enough evidence to reject the null hypothesis, and we can say that we have singificantly differences between the two proportions.

5 0

4 years ago