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3 years ago

Why did the cow hate the farmer

Mathematics

2 answers:

STALIN [3.7K]3 years ago

4 0

Answer:

The farmer ate the cow

Step-by-step explanation:

postnew [5]3 years ago

4 0

Idk give me my points

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This is the back side of the paper

vodomira [7]

Answer:

The answers are given below.

Step-by-step explanation:

8) A) acute 9) C) acute 10) D) right 11) B) acute

12) A) straight 13) A) acute 14) D) right 15) C) ∠L

16) B) ∠HIG 17) B) ∠DEC 18) B) ∠K 19) C) ∠G

20) C) ∠KLJ

We know that ,

1. when 0° < θ < 90°, θ is acute.

2. when θ = 90° θ is right

3. when 90° < θ < 180°, θ is obtuse

4. when θ = 180° θ is straight

6 0

3 years ago

Graph the rational function y=x/x^2+2x+1. Both branches of the rational function pass through which quadrant?

Hitman42 [59]

Answer:

Quadrant 3

Step-by-step explanation:

Here we have to graph the function y = x/(x^2 + 2x + 1)

The denominator can be factored.

x^2 + 2x + 1 = (x + 1)(x + 1)

y = x/(x + 1)(x + 1)

Now we have to graph this function and see in which quadrant the function's both branches passes through.

Herewith I have attached the graph.

Here we can see both branches pass through Quadrant 3.

I hope this will helpful.

Thank you.

4 0

3 years ago

Read 2 more answers

At a large midwestern university, a simple random sample of 100 entering freshmen in 1993 found that 20 of the sampled freshmen

nasty-shy [4]

Answer:

B. Z=1.98

Step-by-step explanation:

1) Data given and notation

$X_{1}=20$ represent the number of sampled freshmen finished in the bottom third of their high school class in 1993

$X_{2}=10$ represent the number of sampled freshmen finished in the bottom third of their high school class in 1997

$n_{1}=100$ sample 1 selected

$n_{2}=100$ sample 2 selected

$p_{1}=\frac{20}{100}=0.20$ represent the proportion of sampled freshmen finished in the bottom third of their high school class in 1993

$p_{2}=\frac{10}{100}=0.0023$ represent the proportion ofsampled freshmen finished in the bottom third of their high school class in 1997

z would represent the statistic (variable of interest)

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

2) Concepts and formulas to use

We need to conduct a hypothesis in order to check if the proportion graduated in the bottom third of their high school class is higher for 1993 than 1997 , the system of hypothesis would be:

Null hypothesis: $p_{1} \leq p_{2}$

Alternative hypothesis: $p_{1} > p_{2}$

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 $\hat p=\frac{X_{1}+X_{2}}{n_{1}+n_{2}}=\frac{20+10}{100+100}=0.15$

3) Calculate the statistic

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

$z=\frac{0.20-0.10}{\sqrt{0.15(1-0.15)(\frac{1}{100}+\frac{1}{100})}}=1.98$

4) 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:

$p_v =P(Z>1.98)=0.024$

If we compare the p value and using any significance level for example $\alpha=0.05$ always $p_v$ so we can conclude that we have enough evidence to reject the null hypothesis, and we can say the the proportion graduated in the bottom third of their high school classes in 1993 is not significant higher than the proportion in 1997.