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Monica [59]
3 years ago
7

Help plssssssssssssssssss

Mathematics
1 answer:
adell [148]3 years ago
6 0
1). 2/3

2). 5/7

3). 2/3
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Kimai is making blankets for charity. In order to determine how many hats she can make per hour, she created 3/5 of the hats in
Elanso [62]

When Kimai is making blankets for charity, the proper form of the unit rate is 4 hats per hour.

<h3>How to calculate the value?</h3>

From the information given, it was stated that Kimai is making blankets for charity. In order to determine how many hats she can make per hour, she created 3/5 of the hats in 1/8 of an hour.

Therefore, the proper form of the unit rate will be:

= Amount of hats / Time

= 3/5 ÷ 1/8

= 3/5 × 8/1

= 4.8

Therefore, the proper rate will be 4 hats per hour.

Learn more about fractions on:

brainly.com/question/1622425

#SPJ1

7 0
1 year ago
Read 2 more answers
20194+9283 - 372 = ? <br><br>will give brainliest or whatever ‍
klemol [59]

20,194+9,283 - 372 = 29,105

6 0
3 years ago
Find the perimeter of a rectangle with sides (3x-5) and (-2x+10)
Vinil7 [7]
2(3x-5) + 2(-2x+10)
6x-10 + -4x+ 20

=2x+ 10
5 0
3 years ago
The points at which the curve changes from curving upward to curving downward are called what
marshall27 [118]

Answer:

Inflection points. It's where the second derivative of the function is equal to zero

Step-by-step explanation:

7 0
3 years ago
A college infirmary conducted an experiment to determine the degree of relief provided by three cough remedies. Each cough remed
KiRa [710]

Answer:

p_v = P(\chi^2_{4,0.05} >3.81)=0.43233

Since the p values is higher than the significance level we FAIL to reject the null hypothesis at 5% of significance, and we can conclude that we don't have significant differences between the 3 remedies analyzed. So we can say that the 3 remedies ar approximately equally effective.

Step-by-step explanation:

A chi-square goodness of fit test "determines if a sample data matches a population".

A chi-square test for independence "compares two variables in a contingency table to see if they are related. In a more general sense, it tests to see whether distributions of categorical variables differ from each another".

Assume the following dataset:

                               NyQuil          Robitussin       Triaminic     Total

No relief                    11                     13                      9               33

Some relief               32                   28                     27              87

Total relief                7                       9                      14               30

Total                         50                    50                    50              150

We need to conduct a chi square test in order to check the following hypothesis:

H0: There is no difference in the three remedies

H1: There is a difference in the three remedies

The level os significance assumed for this case is \alpha=0.05

The statistic to check the hypothesis is given by:

\sum_{i=1}^n \frac{(O_i -E_i)^2}{E_i}

The table given represent the observed values, we just need to calculate the expected values with the following formula E_i = \frac{total col * total row}{grand total}

And the calculations are given by:

E_{1} =\frac{50*33}{150}=11

E_{2} =\frac{50*33}{150}=11

E_{3} =\frac{50*33}{150}=11

E_{4} =\frac{50*87}{150}=29

E_{5} =\frac{50*87}{150}=29

E_{6} =\frac{50*87}{150}=29

E_{7} =\frac{50*30}{150}=10

E_{8} =\frac{50*30}{150}=10

E_{9} =\frac{50*30}{150}=10

And the expected values are given by:

                               NyQuil          Robitussin       Triaminic     Total

No relief                    11                     11                       11               33

Some relief               29                   29                     29              87

Total relief                10                     10                     10               30

Total                         50                    50                    50              150

And now we can calculate the statistic:

\chi^2 = \frac{(11-11)^2}{11}+\frac{(13-11)^2}{11}+\frac{(9-11)^2}{11}+\frac{(32-29)^2}{29}+\frac{(28-29)^2}{29}+\frac{(27-29)^2}{29}+\frac{(7-10)^2}{10}+\frac{(9-10)^2}{10}+\frac{(14-10)^2}{10} =3.81

Now we can calculate the degrees of freedom for the statistic given by:

df=(rows-1)(cols-1)=(3-1)(3-1)=4

And we can calculate the p value given by:

p_v = P(\chi^2_{4,0.05} >3.81)=0.43233

And we can find the p value using the following excel code:

"=1-CHISQ.DIST(3.81,4,TRUE)"

Since the p values is higher than the significance level we FAIL to reject the null hypothesis at 5% of significance, and we can conclude that we don't have significant differences between the 3 remedies analyzed.

4 0
3 years ago
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