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Amelie randomly picked 15 flowers from a garden. 5 of the flowers she picked were tulips. What is the experimental probability t

irinina [24]

Answer:

I may be dumb but i think it's 1/3

Step-by-step explanation:

3 0

3 years ago

(30 POINTS)

Alborosie

Using Pythagorean’s theorem
Side = 24 cm

Hence perimeter = 24+24+10+10
= 68 cm

Hence answer is 68cm

7 0

3 years ago

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We often deal with weighted means, in which different data values carry different weights in the calculation of the mean. For

Veseljchak [2.6K]

Answer:

a) The student's overall average for the class is 87.97.

b) He would need a score above 100 to get an A, which means that he could not have scored high enough on the final exam to get an A in the class.

Step-by-step explanation:

Weighed average:

To solve this question, we find the student's weighed average, multiplying each of his grade by his weights.

Grades and weights:

Scored 82.5 on the midterm, worth 30%.

Scored 88.6 on the final exam, worth 30%.

Scored 91.6 on the homework, worth 40%.

a. On a 100-point scale, what is the student's overall average for the class?

Multiplying each grade by it's weight:

$A = 82.5*0.3 + 88.6*0.3 + 91.6*0.4 = 87.97$

The student's overall average for the class is 87.97.

b. The student was hoping to get an A in the class, which requires an overall score of 93.5 or higher. Could he have scored high enough on the final exam to get an A in the class?

Score of x on the final class, and verify that the average could be 93.5 or higher. So

$A = 82.5*0.3 + 88.6*0.3 + 0.4x$

$A \geq 93.5$

$82.5*0.3 + 88.6*0.3 + 0.4x \geq 93.5$

$0.4x \geq 93.5 - (82.5*0.3 + 88.6*0.3)$

$x \geq \frac{93.5 - (82.5*0.3 + 88.6*0.3)}{0.4}$

$x \geq 105.425$

He would need a score above 100 to get an A, which means that he could not have scored high enough on the final exam to get an A in the class.

3 0

3 years ago

What is an important difference between statistics andâ parameters?

Ilia_Sergeevich [38]

Answer:

A characteristic , usually unknown of the population.

Characteristic of the population , such as its mean ,variance and standard deviations are population Parameters .

An observed characteristic of a sample are known as statistics

Estimate the use of a sample characteristic (statistic) to guess or approximate a population characteristic (parameter)

Step-by-step explanation:

Introduction:-

The outcome of a statistical experiment may be recorded either as a numerical value or as a descriptive representation.

Example:-1

When a pair of dice are tossed and the sum of the numbers on the faces is the outcome of interest, we record a numerical value.

Example :-2

If the students of a certain school are given blood tests and the type of blood is of interest, then a descriptive representation.

Population:-

Population is consists of the total observation's with which we are concerned

The number of observations in the population is defined to be the size of the population

Sample:- A sample is a subset of population.

Samples are classified in two ways

Large sample : if the size of the sample n≥ 30 is called the large sample.

small sample: if the size of the sample n<30 is called the small sample.

Statistics uses different names and symbols to distinguish characteristics

of the population from those of a sample.

Parameters :-

A characteristic , usually unknown of the population.

Characteristic of the population , such as its mean ,variance and standard deviations are population Parameters .

In symbolically mean of the population parameter is denoted by μ

In symbolically variance of the population parameter is denoted by σ²

In symbolically standard deviation of the population parameter is denoted by σ

Statistic :-

An observed characteristic of a sample are known as statistics

Estimate the use of a sample characteristic (statistic) to guess or approximate a population characteristic (parameter)

In symbolically mean of the sample statistic is denoted by x⁻

In symbolically variance of the sample statistic is denoted by S²

In symbolically standard deviation of the statistic is denoted by S

7 0

4 years ago

What is the volume? 9 m 19 m 7 m

ladessa [460]

Answer:1197m³

Step-by-step explanation:

3 0

4 years ago

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