Homework Answers
Answer 10
Parameters are population values and statistics refers to the sample values.
Answer 11
The distribution of statistic values is extracted when we select many samples of variety of sizes and calculate the statistic value for each sample.
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QUESTION 10 What is the difference between a parameter and a statistic? O Parameters are sample...
Please help ! Concepts to be familiar with: 1. Difference between populations (parameters) and samples (statistics):...
Please help !
Concepts to be familiar with: 1. Difference between populations (parameters) and samples (statistics): definitions and notation differences 2. Descriptive v. inferential statistics. What are they? What are their limitations? 3. Independent Variables (IVs) and Dependent Variables (DVs): definitions and how to recognize which is which in a study description 4. Discrete vs. continuous variables, apparent vs. real limits 5. Scales of measurement (N,O,I,R). Know what they are and examples of each. 6. Frequency tables: a. X, f,...
A. Suppose you take a sample of size n from a population and calculate a statistic...
A. Suppose you take a sample of size n from a population and calculate a statistic from that sample. The statistic could be a sample proportion p, a sample mean x, or another statistic. Then suppose we repeat this process over and over again until we find all possible samples of size n from the population (this is a theoretical idea) and we calculate the same statistic from 1. each sample. The collection of all of the statistics calculated is...
The sample size needed to estimate the difference between two population proportions to within a margin...
The sample size needed to estimate the difference between two population proportions to within a margin of error m with a significance level of α can be found as follows. In the expression m=z∗p1(1−p1)n1+p2(1−p2)n2−−−−−−−−−−−−−−−−−−−−√ we replace both n1 and n2 by n (assuming that both samples have the same size) and replace each of p1, and p2, by 0.5 (because their values are not known). Then we solve for n, and get n=(z∗)22E2. Finally, increase the value of n to...
1.You plan to randomly select 10 students from your campus and ask them how many minutes...
1.You plan to randomly select 10 students from your campus and ask them how many minutes they exercised in the past seven days. The distribution of values taken by the average exercising time in all possible samples of size 10 is the (a) probability distribution of exercising times. (b) sampling distribution of average exercising times. (c) variance of the exercising time values. (d) population parameter. 2. The sampling distribution of a statistic is a. the probability that we obtain the...
(1 point) The sample size needed to estimate the difference between two population proportions to within...
(1 point) The sample size needed to estimate the difference between two population proportions to within a margin of error E with a significance level of α can be found as follows. In the expression E=z∗p1(1−p1)n1+p2(1−p2)n2‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾√ we replace both n1 and n2 by n (assuming that both samples have the same size) and replace each of p1, and p2, by 0.5 (because their values are not known). Then we solve for n, and get n=(z∗)22E2. Finally, increase the value of...
The difference of two independent normally distributed random variables is also normally distributed. We have used...
The difference of two independent normally distributed random
variables is also normally distributed. We have used this fact in
many of our derivations. Now, consider two independent and normally
distributed populations with unknown variances σ 2 X and σ 2 Y . If
we get a random sample X1, X2, . . . , Xn from the first population
and a random sample Y1, Y2, . . . , Yn from the second population
(note that both samples are of...
Question Help Consider a random variable Y. What is the difference between the sample average Yand...
Question Help Consider a random variable Y. What is the difference between the sample average Yand the population mean? O A. Both the population mean and the sample average Ý are estimators of the central tendency of the distribution of Y O B. Both the population mean and the sample average Y are true measures of the central tendency of the distribution of Y O C. The population mean is a true measure of the central tendency of the distribution...
Compare the difference between the parameter and statistic? Give some examples for parameters and statistics. Show...
Compare the difference between the parameter and statistic? Give some examples for parameters and statistics. Show work below. A national survey interviewed 3800 people ages 18 and older nationwide by telephone. One question asked was the amount of gasoline they used in the previous week. Of those sampled, the average response was 11.75 gallons. What is the parameter and statistic in this case? Show work below.
This activity will help you distinguish between a sample statistic and a population parameter Part I...
This activity will help you distinguish between a sample statistic and a population parameter Part I Proportions from Random Samples Vary Imagine a small college with only 200 students, and suppose that 60% of these students are eligible for financial aid. What is the population? What is the variable? What is the population proportion? Note: Populations are usually much larger than 200 people. Also, in real situations, we do not know the population proportion. We are using a simplified situation...
25 Anormal population - 0 - 8. A random sample and scores from 54 Wurthe-wore for...
25 Anormal population - 0 - 8. A random sample and scores from 54 Wurthe-wore for this sample is population has a mean of 24. A random sample of 4 scares is obtained from a mal population with probability of obtaining met greater than 22 for this sample! - 20 and a t West - 20 the following samples is deur likely to be obtained For normal perelation with a Band for a sample of n = 4 X- 5...
Please help !
Concepts to be familiar with: 1. Difference between populations (parameters) and samples (statistics): definitions and notation differences 2. Descriptive v. inferential statistics. What are they? What are their limitations? 3. Independent Variables (IVs) and Dependent Variables (DVs): definitions and how to recognize which is which in a study description 4. Discrete vs. continuous variables, apparent vs. real limits 5. Scales of measurement (N,O,I,R). Know what they are and examples of each. 6. Frequency tables: a. X, f,...
A. Suppose you take a sample of size n from a population and calculate a statistic from that sample. The statistic could be a sample proportion p, a sample mean x, or another statistic. Then suppose we repeat this process over and over again until we find all possible samples of size n from the population (this is a theoretical idea) and we calculate the same statistic from 1. each sample. The collection of all of the statistics calculated is...
The difference of two independent normally distributed random
variables is also normally distributed. We have used this fact in
many of our derivations. Now, consider two independent and normally
distributed populations with unknown variances σ 2 X and σ 2 Y . If
we get a random sample X1, X2, . . . , Xn from the first population
and a random sample Y1, Y2, . . . , Yn from the second population
(note that both samples are of...
Question Help Consider a random variable Y. What is the difference between the sample average Yand the population mean? O A. Both the population mean and the sample average Ý are estimators of the central tendency of the distribution of Y O B. Both the population mean and the sample average Y are true measures of the central tendency of the distribution of Y O C. The population mean is a true measure of the central tendency of the distribution...
This activity will help you distinguish between a sample statistic and a population parameter Part I Proportions from Random Samples Vary Imagine a small college with only 200 students, and suppose that 60% of these students are eligible for financial aid. What is the population? What is the variable? What is the population proportion? Note: Populations are usually much larger than 200 people. Also, in real situations, we do not know the population proportion. We are using a simplified situation...
25 Anormal population - 0 - 8. A random sample and scores from 54 Wurthe-wore for this sample is population has a mean of 24. A random sample of 4 scares is obtained from a mal population with probability of obtaining met greater than 22 for this sample! - 20 and a t West - 20 the following samples is deur likely to be obtained For normal perelation with a Band for a sample of n = 4 X- 5...
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