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Vsevolod [243]
3 years ago
7

PLEASE ANSWER ASAP !!!!

Mathematics
2 answers:
Flauer [41]3 years ago
6 0
There is a trick to this. Remember that it’s run (x) over jump (y).

So in this instance, you find where the line connects with the corner of a blue square. (-1, -3) is one. Now find the second one. Which is (3, 4)

Now find the space between those two corners. 7/4

Radda [10]3 years ago
3 0

Answer:

The awnser is 7/4!!!!!!!!

You might be interested in
Read the following statement. If a number is divisible by 2,then it is even what is the inverse of this statement?
Lapatulllka [165]

Answer:

If it is an even number, then it is divisible by 2

Step-by-step explanation:

You flip the order of statements.  One statement is "a number is divisible by 2", the other is "it is even" is the other.  

7 0
3 years ago
Is education related to programming preference when watching TV? From a poll of 80 television viewers, the following data have b
Luda [366]

Answer:

a) H0:  There is no association between level of education and TV station preference (Independence)

H1: There is association between level of education and TV station preference (No independence)

b) \chi^2 = \frac{(15-10)^2}{10}+\frac{(15-20)^2}{20}+\frac{(10-10)^2}{10}+\frac{(5-10)^2}{10}+\frac{(25-10)^2}{10}+\frac{(10-20)^2}{20} =33.75

c) \chi^2_{crit}=5.991

d) Since the p value is lower than the significance level we enough evidence to reject the null hypothesis at 5% of significance, and we can conclude that we have dependence between the two variables analyzed.

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:

                                  High school   Some College   Bachelor or higher  Total

Public Broadcasting       15                       15                          10                     40

Commercial stations      5                         25                         10                     40  

Total                                20                      40                          20                    80

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

Part a

H0:  There is no association between level of education and TV station preference (Independence)

H1: There is association between level of education and TV station preference (No independence)

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}

Part b

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{20*40}{80}=10

E_{2} =\frac{40*40}{80}=20

E_{3} =\frac{20*40}{80}=10

E_{4} =\frac{20*40}{80}=10

E_{5} =\frac{40*40}{80}=20

E_{6} =\frac{20*40}{80}=10

And the expected values are given by:

                                  High school   Some College   Bachelor or higher  Total

Public Broadcasting       10                       20                         10                     40

Commercial stations      10                        10                         20                     40  

Total                                20                      30                          30                    80

Part b

And now we can calculate the statistic:

\chi^2 = \frac{(15-10)^2}{10}+\frac{(15-20)^2}{20}+\frac{(10-10)^2}{10}+\frac{(5-10)^2}{10}+\frac{(25-10)^2}{10}+\frac{(10-20)^2}{20} =33.75

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

df=(rows-1)(cols-1)=(2-1)(3-1)=2

Part c

In order to find the critical value we need to look on the right tail of the chi square distribution with 2 degrees of freedom a value that accumulates 0.05 of the area. And this value is \chi^2_{crit}=5.991

Part d

And we can calculate the p value given by:

p_v = P(\chi^2_{3} >33.75)=2.23x10^{-7}

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

"=1-CHISQ.DIST(33.75,2,TRUE)"

Since the p value is lower than the significance level we enough evidence to reject the null hypothesis at 5% of significance, and we can conclude that we have dependence between the two variables analyzed.

7 0
4 years ago
Solve pls brainliest
diamong [38]

Answer:

3/8 = 9/24

1/3 = 8/24

3/8 > 1/3

Step-by-step explanation:

3/8 = 9/24 (multiply both numerator and denominator by 3)

1/3 = 8/24 (multiply both numerator and denominator by 8)

9/24 > 8/24

6 0
2 years ago
There are several marbles in a bag: two red, four green, one blue, and five yellow. What is the probability of randomly drawing
GREYUIT [131]

Answer:

The probability is 5/36

Step-by-step explanation:

The total number of marbles is 2 + 4 + 1 + 5 = 12 marbles

The probability of randomly drawing a green marble would be

number of green marble/total number of marbles = 4/12 = 1/3

Now since we are replacing the total number of marbles stays the same

so, the probability of drawing a yellow marble now will be ;

number of yellow marbles/total number of marbles = 5/12

So the total probability we are having here would be; 1/3 * 5/12 = 5/36

5 0
3 years ago
Which of the following proportions is true?<br> 4/16=2/14 15/20=24/36 12/15=47/50 16/36=12/27
KengaRu [80]
The correct proportion is 16/36=12/27
4 0
3 years ago
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