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mestny [16]
3 years ago
6

Please this is your answer.​

Mathematics
2 answers:
xeze [42]3 years ago
6 0

Answer:

3. 4

4. is correct

5. is correct

Step-by-step explanation:

3 is incorrect, you have to start with division first

3. 6-6/3

6-(6/3)

6-2

4

the answer for question 3 is 4

question 5 and question 4 are correct

oee [108]3 years ago
6 0
Answer: 3 4 5


That’s what you said
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Step-by-step explanation:

a - 2b - (c-(2a+b))

a - 2b - c + (2a+b)

3a - b - c

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Please help im doing a test and it’s due soon
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Step-by-step explanation:

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Which of the following best defines a postulate
vampirchik [111]
A postulate is a true statement that does not require to be proved . Also called an axiom.
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Public health officials claim that people living in low income neighborhoods have different Physical Activity Levels (PAL) than
Naddika [18.5K]

Answer:

The z-score for this data is Z = -0.26.

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal Probability Distribution:

Problems of normal distributions can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the z-score of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the p-value, we get the probability that the value of the measure is greater than X.

Central Limit Theorem

The Central Limit Theorem establishes that, for a normally distributed random variable X, with mean \mu and standard deviation \sigma, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

For a proportion p in a sample of size n, the sampling distribution of the sample proportion will be approximately normal with mean \mu = p and standard deviation s = \sqrt{\frac{p(1-p)}{n}}

This is based on knowledge that in the U.S., the mean PAL is 1.65 and the standard deviation is 0.55.

This means that \mu = 1.65, \sigma = 0.55

A study took a random sample of 51 people who lived in low income neighborhoods and found their mean PAL to be 1.63.

This means that n = 51, X = 1.63

Using a one-sample z test, what is the z-score for this data

Z = \frac{X - \mu}{\sigma}

By the Central Limit Theorem

Z = \frac{X - \mu}{s}

Z = \frac{1.63 - 1.65}{\frac{0.55}{\sqrt{51}}}

Z = -0.26

The z-score for this data is Z = -0.26.

4 0
3 years ago
Shelly has a gift card for her favorite restaurant for $15.she wants to treat a group of friends to sandwiches at the restaurant
elena-14-01-66 [18.8K]

Answer:

The equation for that models the total money and sandwiches bought is $ 15 =  X × $4.50 , And The value of X is 3.33

Step-by-step explanation:

Given as :

The total value of gift card = $ 15

The cost of each sandwiches = $4.50

Let The number of sandwiches bought = X

So, According to question

The total value of gift card = cost of each sandwiches × number of sandwiches bought

Or, The total value of gift card = X × $4.50

Or,  $ 15 =  X × $4.50

∴       X = \frac{15}{4.50}

I.e     X = 3.33  

Hence The equation for that models the total money and sandwiches bought is $ 15 =  X × $4.50 , And The value of X is 3.33   Answer

3 0
4 years ago
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