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kodGreya
2 months ago
7

For a set population, does a parameter ever change? sometimes always unknown never if there are three different samples of the s

ame size from a set population, is it possible to get three different values for the same statistic? data from samples may vary from sample to sample, and so corresponding sample statistics may vary from sample to sample. data from samples never vary from sample to sample, and so corresponding sample statistics never vary from sample to sample. data from samples never vary from sample to sample, and so corresponding sample statistics may vary from sample to sample. data from samples may vary from sample to sample, and so corresponding sample statistics never vary from sample to sample.
Mathematics
1 answer:
Zina [12.3K]2 months ago
5 0

For a defined population, does a parameter ever change?

Response: For a fixed population, a parameter remains constant.

This is because when determining the parameter, every unit within the population is considered. Thus, a parameter will not differ.

In the case of taking three samples of the same size from a specific population, can we end up with three different values for the same statistic?

Response: Sample data can differ between samples, therefore corresponding sample statistics can also show variation among samples.

As we calculate sample statistics, we focus only on portions of the population. Each sampling from the population carries the potential for differing data. Consequently, statistics derived from samples may vary from one sample to another.

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Suppose that a student is randomly selected from a large high school. The probability that the student is a senior is 0.22. The
lawyer [12517]

Answer: La probabilidad que necesitamos es 0.16.

Step-by-step explanation:

Se nos proporciona que

La probabilidad de que el estudiante sea un senior = 0.22

La probabilidad de que el estudiante tenga una licencia de conducir = 0.30

La probabilidad de que el estudiante sea un senior o tenga una licencia de conducir = 0.36

Buscamos la probabilidad de que el estudiante sea un senior y tenga licencia de conducir.

Según la pregunta,

P(S\cap D)=P(S)+P(D)-P(S\cup D)\\\\P(S\cap D)=0.22+0.30-0.36\\\\P(S\cap D)=0.16

Por lo tanto, la probabilidad que necesitamos es 0.16.

3 0
2 months ago
mr lippman bought a dryer for 160 bucks and sold it for 240 bucks. if overhead expenses were 20% of the selling price, what was
lawyer [12517]
Begin by determining the overhead costs. The selling price was $240. To calculate 20% of 240, multiply 240 by 0.20, yielding 48. Consequently, the overhead expenses total $48. To figure out the profit, subtract total expenses from the selling price. Mr. Lippman's selling price was $240, he paid $160 for the dryer, and incurred $48 in overhead expenses. Thus, 240 - 160 - 48 equals 32. Therefore, the profit is $32. To determine the profit rate, divide the profit by the total expenses. 32 / (240 + 160) results in 0.08. Hence, the profit rate is 8%.
5 0
1 month ago
At a recent county fair, you observed that at one stand people's weight was forecasted, and were surprised by the accuracy (with
Leona [12618]

Answer:

a) Slope: \hat \beta_1 =\frac{7625.9}{1248.9}=6.106

Intercept: \hat \beta_o = 157.955 -6.106 (69.686)=-267.548

b) r=\frac{7625.9}{\sqrt{[1248.9][94228.8]}}=0.657

Additionally, the coefficient of determination is r^2 = 0.657^2 =0.432

Step-by-step explanation:

Definitions and data provided

The correlation coefficient is a measure that quantifies the strength of the relationship between two variable movements, denoted as r and ranging between -1 and 1.

The sum of squares refers to the total of the squared deviations, where deviation is defined as the difference between each value and the grand mean.

When performing multiple regression, the aim is to analyze the relationship between multiple independent variables and one dependent variable.

n=110, \sum x_i y_i = \sum (X-\bar X)(Y-\bar Y) =7625.9,\sum x^2_i=\sum (x-\bar x)^2 =1248.9, sum y^2_i=\sum(y-\bar y)^2 =94228.8

\sum Y_i =17375, \sum X_i = 7665.5

Part a

The slope can be calculated using this formula:

\hat \beta_1 =\frac{\sum (x-\bar x) (y-\bar y)}{\sum (x-\bar x )^2}

Following the substitutions, we have:

\hat \beta_1 =\frac{7625.9}{1248.9}=6.106

The intercept can be determined with this formula:

\hat \beta_o = \bar y -\hat \beta_1 \bar x

Average values for x and y can be calculated this way:

\bar X=7665.5/110 =69.686, \bar y= 17375/110=157.955

Replacing yields:

\hat \beta_o = 157.955 -6.106 (69.686)=-267.548

Part b

The correlation coefficient can be calculated using the following formula:

r=\frac{\sum (x-\bar x)(y-\bar y) }{\sqrt{[\sum (x-\bar x)^2][\sum(y-\bar y)^2]}}

In our situation:

n=110, \sum x_i y_i = \sum (X-\bar X)(Y-\bar Y) =7625.9,\sum x^2_i=\sum (x-\bar x)^2 =1248.9, sum y^2_i=\sum(y-\bar y)^2 =94228.8

We can compute the correlation coefficient by substituting values:

r=\frac{7625.9}{\sqrt{[1248.9][94228.8]}}=0.657

The coefficient of determination is r^2 = 0.657^2 =0.432

6 0
2 months ago
The table shows the last holiday destination of 60 people.
Svet_ta [12734]

Answer:

Step-by-step explanation:

6 0
1 month ago
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