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3 years ago

In scientific opinion polling, a random sample is used to avoid:

Mathematics

2 answers:

Neporo4naja [7]3 years ago

5 0

Answer:

bias

Step-by-step explanation:

Samples are randomized to ensure that the people polled are representative of the entire population. If a sample is not representative of the population, it is said to be biased. Randomization helps to prevent bias.

sergiy2304 [10]3 years ago

4 0

The answer is bias I believe.

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Find the quotient 3,085 +3

dem82 [27]

3,088 is the answer

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3 years ago

PLS HELP , ALGEBRA 2!! I WILL MARK BRAINLIEST

Oliga [24]

Answer:

1). no

2). no

Part 2

A) (3,-2)

B) (1,0),(-3,4)

C) (4,0)

D) (3,2)

Step-by-step explanation:

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3 years ago

Sean went to the farmers Market and bought 3 3/4 pounds of beans at $11 and a pound and 10 1/2 pounds of flour at $0.55 per poun

mina [271]

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3 years ago

The diagrams show a right angled triangle and a rectangle.

Mrrafil [7]

Answer:

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2 years ago

Read 2 more answers

Calculating the degrees of freedom, the sample variance, and the estimated standard error for evaluations using the t statistic

Yuliya22 [10]

Answer:

a) For the first part we have a sample of n =10 and we want to find the degrees of freedom, and we can use the following formula:

$df = n-1= 10-1=9$

d.9

b) $s^2 = \frac{SS}{n-1}= \frac{600}{41-1}= 15$

a.15

c) For this case we have the sample size n = 25 and the sample variance is $s^2 =400$ , the standard error can founded with this formula:

$SE = \frac{s^2}{\sqrt{n}}= \frac{400}{\sqrt{25}}= 80$

Step-by-step explanation:

Part a

For the first part we have a sample of n =10 and we want to find the degrees of freedom, and we can use the following formula:

$df = n-1= 10-1=9$

d.9

Part b

From a sample we know that n=41 and SS= 600, where SS represent the sum of quares given by:

$SS = \sum_{i=1}^n (X_i -\bar X)^2$

And the sample variance for this case can be calculated from this formula:

$s^2 = \frac{SS}{n-1}= \frac{600}{41-1}= 15$

a.15

Part c

For this case we have the sample size n = 25 and the sample variance is $s^2 =400$ , the standard error can founded with this formula:

$SE = \frac{s^2}{\sqrt{n}}= \frac{400}{\sqrt{25}}= 80$

8 0

3 years ago