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2 years ago

Who’s salary represents the median of the data in the table?

Mathematics

2 answers:

BabaBlast [244]2 years ago

7 0

Answer:

1: Ram

Step-by-step explanation:

The median is the middle number in a sorted, ascending or descending, list of numbers and can be more descriptive of that data set than the average. The median is sometimes used as opposed to the mean when there are outliers in the sequence that might skew the average of the values

if we put these salaries in order we can find out what the median salary is.

32,701 , 45,600 , 52,000 , 67,250 , 71860.

The number in the centre or the middle is 52,000. That is Ram's salary.

The answer is 1. Ram

I hope you find this useful, rate me the brainliest if you did ;)

Paul [167]2 years ago

6 0

Answer:

Rajesh salary is the median

Step-by-step explanation:

Am not good in explanation

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In studies for a medication, 3 percent of patients gained weight as a side effect. Suppose 643 patients are randomly selected.

timofeeve [1]

Part a)

It was given that 3% of patients gained weight as a side effect.

This means

$p = 0.03$

$q = 1 - 0.03 = 0.97$

The mean is

$\mu = np$

$\mu = 643 \times 0.03 = 19.29$

The standard deviation is

$\sigma = \sqrt{npq}$

$\sigma = \sqrt{643 \times 0.03 \times 0.97}$

$\sigma =4.33$

We want to find the probability that exactly 24 patients will gain weight as side effect.

P(X=24)

We apply the Continuity Correction Factor(CCF)

P(24-0.5<X<24+0.5)=P(23.5<X<24.5)

We convert to z-scores.

$P(23.5 \: < \: X \: < \: 24.5) = P( \frac{23.5 - 19.29}{4.33} \: < \: z \: < \: \frac{24.5 - 19.29}{4.33} ) \\ = P( 0.97\: < \: z \: < \: 1.20) \\ = 0.051$

Part b) We want to find the probability that 24 or fewer patients will gain weight as a side effect.

P(X≤24)

We apply the continuity correction factor to get;

P(X<24+0.5)=P(X<24.5)

We convert to z-scores to get:

$P(X \: < \: 24.5) = P(z \: < \: \frac{24.5 - 19.29}{4.33} ) \\ = P(z \: < \: 1.20) \\ = 0.8849$

Part c)

We want to find the probability that

11 or more patients will gain weight as a side effect.

P(X≥11)

Apply correction factor to get:

P(X>11-0.5)=P(X>10.5)

We convert to z-scores:

$P(X \: > \: 10.5) = P(z \: > \: \frac{10.5 - 19.29}{4.33} ) \\ = P(z \: > \: - 2.03)$

$= 0.9788$

Part d)

We want to find the probability that:

between 24 and 28, inclusive, will gain weight as a side effect.

P(24≤X≤28)=

P(23.5≤X≤28.5)

Convert to z-scores:

$P(23.5 \: < \: X \: < \: 28.5) = P( \frac{23.5 - 19.29}{4.33} \: < \: z \: < \: \frac{28.5 - 19.29}{4.33} ) \\ = P( 0.97\: < \: z \: < \: 2.13) \\ = 0.1494$

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3 years ago

Write the ordered pairs relation

EastWind [94]

Answer:

There are no ordered pairs to relate too so i will tell the relation between a pair of numbers and a ordered pair.

Step-by-step explanation:

For an ordered pairs, each point is defined by 2 values.

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3 years ago

SOS PLS HELP ASAP this is so confusing

lbvjy [14]

Regular Pay: $624.00
Overtime Pay: $362.70
Gross Pay: $986.70

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2 years ago

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ozzi

Answer:

????

Step-by-step explanation:

where is the info like the graph

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2 years ago

Answer the picture below.

inysia [295]

Answer:

Step-by-step explanation:

function: all the points

note: x intercept is the domain, y intercept is the range

domain must paired with exact range

the domain can be more than 1, but range must be 1.

domain : 3, 5, 0 , -1, -3, -5

range: 1, 3, 4 , -3(there is 2 but we write it one) , -4

and done!

thank you!

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2 years ago