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2 years ago

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Think of a situation in the real world where a relationship occurs between two sets. For example, I could list several different

people and then list their birthdays. I could then form a relationship between these sets. First, illustrate the relationship using arrows. Then determine if the relationship is a function or not. State why?

1 answer:

Alla [95]2 years ago

8 0

Answer:

See Explanation

Step-by-step explanation:

Required

Determine if a real life situation is a function or not

I will give 2 instances

(1) Students and their ID

The relationship is as follows:

Student 1 -----> ID-1

Student 2 -----> ID-2

Student 3 -----> ID-3

Student 4 -----> ID-4

---------

----

--

Student n -----> ID-n

The above is a function because every student has a unique student ID.

In fact, the relation is a one-on-one function because no two students will have the same ID

(2) People and their year of birth

The relationship is as follows:

Person 1 -----> 2000

Person 2 -----> 2001

Person 3 -----> 2002

Person 4 -----> 2001

---------

----

Person n -----> 2005

The above is not a function because there is a possibility that a more than one person will have the same year of birth.

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Answer:

Step-by-step explanation:

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2 years ago

While conducting a test of modems being manufactured, it is found that 10 modems were faulty out of a random sample of 367 modem

Kitty [74]

Answer:

We conclude that this is an unusually high number of faulty modems.

Step-by-step explanation:

We are given that while conducting a test of modems being manufactured, it is found that 10 modems were faulty out of a random sample of 367 modems.

The probability of obtaining this many bad modems (or more), under the assumptions of typical manufacturing flaws would be 0.013.

Let p = <em><u>population proportion</u></em>.

So, Null Hypothesis, $H_0$ : p = 0.013 {means that this is an unusually 0.013 proportion of faulty modems}

Alternate Hypothesis, $H_A$ : p > 0.013 {means that this is an unusually high number of faulty modems}

The test statistics that would be used here <u>One-sample z-test</u> for proportions;

T.S. = $\frac{\hat p-p}{\sqrt{\frac{p(1-p)}{n} } }$ ~ N(0,1)

where, $\hat p$ = sample proportion faulty modems= $\frac{10}{367}$ = 0.027

n = sample of modems = 367

So, <u><em>the test statistics</em></u> = $\frac{0.027-0.013}{\sqrt{\frac{0.013(1-0.013)}{367} } }$

= 2.367

The value of z-test statistics is 2.367.

Since, we are not given with the level of significance so we assume it to be 5%. <u>Now at 5% level of significance, the z table gives a critical value of 1.645 for the right-tailed test.</u>

Since our test statistics is more than the critical value of z as 2.367 > 1.645, so we have sufficient evidence to reject our null hypothesis as it will fall in the rejection region due to which <u><em>we reject our null hypothesis</em></u>.

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3 years ago

Quick algebra 1 assignment for 50 points!

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The example on direct variation is illustrated below based on the information given.

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An example will be:

When x = 2, y = 10. Find the value of y when x is 6.

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k = 10/2

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Since y = kx.

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1 year ago

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3 years ago

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Lostsunrise [7]

Answer:

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Step-by-step explanation:

Given the following question:

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Formula for slope intercept:

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M is equal to the slope of the two points, so first we need to fine the slope of the two points.

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Hope this helps.

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2 years ago