Abdul has bought 30 pounds of dog food. He feeds his dog

Using the ratio of perfect squares method, what is square root of 53 rounded to the nearest hundredth?

olga55 [171]

53 is not a perfect square and whereby not using a calculator, 53 is between the perfect squares of 49 and 64. Hence the answer should be between 7 and 8. since 53 is closer to 49, then the answer should be close to 7. use a calculator to verify

3 0

3 years ago

LEVEL:EASY. MATH: A TEDDY BEAR, THE KIDS IS GOING IN TEDDY BEAR SHOP AND THE KIDS IS SO ENJOYING THE PLACE OF TEDDY BEAR FACTORY

Alex

Answer:

Step-by-step explanation:

this is simple math ur in like second grade,figure this out yourself stop cheating.

5 0

2 years ago

Please help fasttttttt

lord [1]

Answer:

40 or 50 i cant see, is it closer in size to L or I

Step-by-step explanation:

3 0

3 years ago

Find the equation of the parabola that passes through the points:<br> (0,5) (1,7) (-2,19)

Ymorist [56]

Answer:

y= 3x^2 - x+5

Step-by-step explanation:

hope that helps

3 0

3 years ago

Read 2 more answers

A survey was conducted in the United Kingdom, where respondents were asked if they had a university degree. One question asked,

katovenus [111]

Answer:

$z=\frac{0.121-0.0892}{\sqrt{0.101(1-0.101)(\frac{1}{373}+\frac{1}{639})}}=1.620$

$p_v =2*P(Z>1.620)=0.105$

If we compare the p value and using any significance level for example $\alpha=0.05$ always $p_v>\alpha$ so we can conclude that we have enough evidence to FAIL to reject the null hypothesis, and we can say the the two proportions are not statistically different at 5% of significance

Step-by-step explanation:

Data given and notation

$X_{1}=45$ represent the number of correct answers for university degree holders

$X_{2}=57$ represent the number of correct answers for university non-degree holders

$n_{1}=373$ sample 1 selected

$n_{2}=639$ sample 2 selected

$p_{1}=\frac{45}{373}=0.121$ represent the proportion of correct answers for university degree holders

$p_{2}=\frac{57}{639}=0.0892$ represent the proportion of correct answers for university non-degree holders

z would represent the statistic (variable of interest)

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

Concepts and formulas to use

We need to conduct a hypothesis in order to check if the proportions are different between the two groups, the system of hypothesis would be:

Null hypothesis: $p_{1} = p_{2}$

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

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 $\hat p=\frac{X_{1}+X_{2}}{n_{1}+n_{2}}=\frac{45+57}{373+639}=0.101$

Calculate the statistic

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

$z=\frac{0.121-0.0892}{\sqrt{0.101(1-0.101)(\frac{1}{373}+\frac{1}{639})}}=1.620$

Statistical decision

For this case we don't have a significance level provided $\alpha$ , but we can calculate the p value for this test.

Since is a one side test the p value would be:

$p_v =2*P(Z>1.620)=0.105$

If we compare the p value and using any significance level for example $\alpha=0.05$ always $p_v>\alpha$ so we can conclude that we have enough evidence to FAIL to reject the null hypothesis, and we can say the the two proportions are not statistically different at 5% of significance

7 0

3 years ago