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umka21 [38]
3 years ago
12

Determine whether the following statement is true or false. Explain. When taking a systematic random sample of size​ n, every gr

oup of size n from the population has the same chance of being selected.
Mathematics
1 answer:
baherus [9]3 years ago
8 0

Answer:

the statement " When taking a systematic random sample of size​ n, every group of size n from the population has the same chance of being selected" is FALSE.

Step-by-step explanation:

"Systematic sampling is a type of probability sampling method in which sample members from a larger population are selected according to a random starting point but with a fixed, periodic interval. This interval, called the sampling interval, is calculated by dividing the population size by the desired sample size"

one of the main disadvantage of the systematic random sample is that not all samples have equal representation or equal chance of being picked.

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In planning her retirement liza deposit some money at 4% interest with twice as much deposited at 5% find the amount deposited a
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1 year ago
Abnormalities In the 1980s, it was generally believed that congenital abnormalities affected about 5% of the nation’s chil-dren.
Ainat [17]

Answer:

Null hypothesis:p\leq 0.05  

Alternative hypothesis:p>0.05

The conditions and requirements are explained on detail below.

Step-by-step explanation:

1) Data given and notation n  

n=384 represent the random sample taken  

X=46 represent the children with abnormalities in the sample

\hat p=\frac{46}{384}=0.120 estimated proportion of children with abnormalities in the sample

p_o=0.05 is the value that we want to test  

\alpha represent the significance level (no given)  

z would represent the statistic (variable of interest)  

p_v represent the p value (variable of interest)  

p= proportion of children with congenital abnormalities

2) Concepts and formulas to use  

We need to conduct a hypothesis in order to test the claim that the proportion of children with congenital abnormalities exceeds 5%. :  

Null hypothesis:p\leq 0.05  

Alternative hypothesis:p>0.05

We assume that the proportion follows a normal distribution.  

When we conduct a proportion test we need to use the z statistic, and the is given by:  

z=\frac{\hat p -p_o}{\sqrt{\frac{p_o (1-p_o)}{n}}}    (1)  

The One-Sample Proportion Test is used to assess whether a population proportion \hat p is significantly (different,higher or less) from a hypothesized value p_o.  

<em>Check for the assumptions that he sample must satisfy in order to apply the test</em>

a)The random sample needs to be representative: On this case the problem no mention about it but we can assume it.

b) The sample needs to be large enough

np_o =384*0.05=19.2>10

n(1-p_o)=384*(1-0.05)=364.8>10

3) Calculate the statistic  

Since we have all the info requires we can replace in formula (1) like this:  

z=\frac{0.120 -0.05}{\sqrt{\frac{0.05(1-0.05)}{384}}}=6.29

4) Statistical decision  

It's important to refresh the p value method or p value approach . "This method is about determining "likely" or "unlikely" by determining the probability assuming the null hypothesis were true of observing a more extreme test statistic in the direction of the alternative hypothesis than the one observed". Or in other words is just a method to have an statistical decision to fail to reject or reject the null hypothesis.  

The significance level is not provided usually is \alpha=0.05. The next step would be calculate the p value for this test.  

Since is a one side test the p value would be:  

p_v =P(z>6.29)=1.59x10^{-10}  

Based on the p value obtained and using the significance level given \alpha=0.05 we have p_v so we can conclude that we have enough evidence to reject the null hypothesis, and we can said that at 5% of significance the proportion of children with abnormalities exceeds 0.05 or 5% .  

4 0
4 years ago
Your grades on 4 math tests are 79, 85,
DiKsa [7]

Answer:

The grade on the fifth test that will give you a mean score of at least 85 is 87

Step-by-step explanation:

From the question, the grades on 4 math tests are 79,85,86, and 88.

To determine the grade on the fifth test that will give a mean score of at least 85,

Let the grade on the fifth test be x,

From the formula for mean

Mean = Sum of terms / Number of terms

That is,

85 = (79 + 85 + 86 + 88 + x) / 5

85 = \frac{79 + 85 + 86 + 88 + x}{5}

85 = \frac{338 + x}{5}

338 + x = 85 \times 5

338 + x = 425\\

x = 425 - 338

x = 87

x = 87

Hence, the grade on the fifth test that will give you a mean score of at least 85 is 87.

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3 years ago
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