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lawyer [7]
3 years ago
6

Compare each set of data. Determine which set shows greater variability.

Mathematics
2 answers:
Nadya [2.5K]3 years ago
9 0

Answer:

Which set shows greater variability? <u>Set B</u>

Which measure provides greater variability for the set you chose? <u>Range</u>

alexdok [17]3 years ago
3 0

Answer:hhfjb

Step-by-step explanation:hdbbcjb

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The mean height of women in a country (ages 20-29) is 64 4 inches A random sample of 50 women in this age group is selected What
Simora [160]

Answer:

0.0721 = 7.21% probability that the mean height for the sample is greater than 65 inches.

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.

Mean of 64.4 inches, standard deviation of 2.91

This means that \mu = 64.4, \sigma = 2.91

Sample of 50 women

This means that n = 50, s = \frac{2.91}{\sqrt{50}}

What is the probability that the mean height for the sample is greater than 65 inches?

This is 1 subtracted by the p-value of Z when X = 65. So

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

By the Central Limit Theorem

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

Z = \frac{65 - 64.4}{\frac{2.91}{\sqrt{50}}}

Z = 1.46

Z = 1.46 has a p-value of 0.9279

1 - 0.9279 = 0.0721

0.0721 = 7.21% probability that the mean height for the sample is greater than 65 inches.

8 0
2 years ago
Between which two consecutive whole number does the square root of 38 lie
Dahasolnce [82]
<span>So rather than think about how to find the whole numbers, let's try to find the two perfect squares nearest to 38. There is one greater than it and one smaller than it. The square root will lie between the squared value of each. (e.g. 64 is the perfect square, 8 is the squared value i refer to)
</span><span>
6 ,7. 6squared is 36 and 7 squared is 42

therefore 38 lies between these two numbers</span>
5 0
2 years ago
Read 2 more answers
An item is regularly priced at 60 . It is on sale for 40 percent off the regular price. How much (in dollars) is discounted from
UkoKoshka [18]

Answer:

24.00

Step-by-step explanation:

3 0
3 years ago
Order from greatest to least.<br> 0.386,0.3,0.683,0.836
lisabon 2012 [21]

Answer:

Greatest to least is 0.836 ,  0.683, 0.386 ,  0.3.

Step-by-step explanation:

Given  : 0.386; 0.3; 0.683; 0.836.

To find : which Is greatest to least.

Solution :" We have given 0.386; 0.3; 0.683; 0.836.

In 0.386

Tenth place is 3 and hundredth place is 8

In 0.3

Tenth place is 3 and hundredth place 0

In 0.683

Tenth place is 6 and hundredth place 8

In 0.836.

Tenth place is 8 and hundredth place 3.

So, Greatest number is 0.836 ,

Least number is  0.3.

Therefore, Greatest to least is 0.836 ,  0.683, 0.386 ,  0.3.

3 0
2 years ago
Read 2 more answers
(-2.264) (14.51)= (type an integer or a decimal)
Klio2033 [76]

Answer:

(−2.264)(14.51)

ANSWER=−32.85064

3 0
2 years ago
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