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sergeinik [125]
3 years ago
14

Which function has the range (-infinity,-2]U[0,infinity)?

Mathematics
2 answers:
iren [92.7K]3 years ago
8 0

Answer:

B. y=csc(x)-1

Step-by-step explanation:

just got it right!

dolphi86 [110]3 years ago
6 0

Answer:

y= csc(x)+1

Step-by-step explanation:

A P E X

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Which of the following terms can be combined in this expression? -3-x/5+6.2y+20.5x-3/8y
mojhsa [17]

Answer:

-\frac{x}{5} and 20.5x

-\frac{3}{8}y and 6.2y

Step-by-step explanation:

-3-x/5+6.2y+20.5x-3/8y

-3-\frac{x}{5}+6.2y+20.5x- \frac{3}{8} y

We are given an expression with 5 terms

The terms that has same variables with same exponent are like terms. WE combine only like terms. Constants are also like terms.

In the given expression , the fractions -\frac{x}{5} and 20.5x have same 'x' . so they are like terms. we can combine these terms.

the fractions -\frac{3}{8}y and 6.2y have same 'y' . so they are like terms. we can combine these terms.

8 0
3 years ago
Read 2 more answers
-18=d+4 plZ hurry thank you so much have a great day
Yuliya22 [10]

Answer:

d = - 22

Step-by-step explanation:

- 18 = d + 4 ( subtract 4 from both sides )

- 22 = d

4 0
3 years ago
Some scientists believe alcoholism is linked to social isolation. One measure of social isolation is marital status. A study of
frez [133]

Answer:

1) H0: There is independence between the marital status and the diagnostic of alcoholic

H1: There is association between the marital status and the diagnostic of alcoholic

2) The statistic to check the hypothesis is given by:

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

3) \chi^2 = \frac{(21-33.143)^2}{33.143}+\frac{(37-41.429)^2}{41.429}+\frac{(58-41.429)^2}{41.429}+\frac{(59-46.857)^2}{46.857}+\frac{(63-58.571)^2}{58.571}+\frac{(42-58.571)^2}{58.571} =19.72

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

And we can calculate the p value given by:

p_v = P(\chi^2_{2} >19.72)=5.22x10^{-5}

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

"=1-CHISQ.DIST(19.72,2,TRUE)"

Since the p value is lower than the significance level so then we can reject the null hypothesis at 5% of significance, and we can conclude that we have association 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:

                    Diag. Alcoholic   Undiagnosed Alcoholic    Not alcoholic    Total

Married                     21                              37                            58                116

Not Married              59                             63                            42                164

Total                          80                             100                          100              280

Part 1

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

H0: There is independence between the marital status and the diagnostic of alcoholic

H1: There is association between the marital status and the diagnostic of alcoholic

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

Part 2

The statistic to check the hypothesis is given by:

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

Part 3

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{80*116}{280}=33.143

E_{2} =\frac{100*116}{280}=41.429

E_{3} =\frac{100*116}{280}=41.429

E_{4} =\frac{80*164}{280}=46.857

E_{5} =\frac{100*164}{280}=58.571

E_{6} =\frac{100*164}{280}=58.571

And the expected values are given by:

                    Diag. Alcoholic   Undiagnosed Alcoholic    Not alcoholic    Total

Married             33.143                       41.429                        41.429                116

Not Married     46.857                      58.571                        58.571                164

Total                   80                              100                             100                 280

And now we can calculate the statistic:

\chi^2 = \frac{(21-33.143)^2}{33.143}+\frac{(37-41.429)^2}{41.429}+\frac{(58-41.429)^2}{41.429}+\frac{(59-46.857)^2}{46.857}+\frac{(63-58.571)^2}{58.571}+\frac{(42-58.571)^2}{58.571} =19.72

Part 4

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

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

And we can calculate the p value given by:

p_v = P(\chi^2_{2} >19.72)=5.22x10^{-5}

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

"=1-CHISQ.DIST(19.72,2,TRUE)"

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

7 0
4 years ago
Gavin’s gross pay is $3851. his deductions total is $756.72. what percent of his gross pay is take home pay.
kvv77 [185]

Gross pay - Total deductions = net pay

$3851-$756.72 = $3094.28

Divide total net pay by 7(days) = $442.04

7 0
4 years ago
you accidentally dropped a coin from the top of 10 stairs. what is the probability that it will land on the 4th step facing up
Roman55 [17]

Answer:

Step-by-step explanation:

1/10 * 1/4 = 1/14

1/2 because there is a 50/50% chance its either heads or tails

3 0
4 years ago
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