minimum sample size needed
Q: Statistical inference is the process of making prediction, or decision about apopulation based on…
A: Given statement is that Statistical inference is the process of making an estimate,prediction or…
Q: What is a numerical descriptive measure calculated from a sample called? 1. A statistic 2. A…
A:
Q: i. Identify the population of interest for this scenario. Identify the sampling technique used by…
A: here given, total students in university of east europe registered in academic year 2021/2121 are…
Q: Sample size is larger if
A: Sample size is large if we can make statement for population from it.
Q: 3) What information is obtained based on the bootstrapped sample. 4) Simple example showing how…
A: Given: The explanation for bootstrapped sample and the working method is given below as,
Q: Identify the sampling method being used
A: The given sampling can be described as Choosing countries => choosing districts => choosing…
Q: Define Sampling Distribution of Difference Between Means?
A: Sampling Distribution: The probability distribution of the sample statistic is called as the…
Q: xplain the simple random sampling and systematic sampling techniques using appropriate examples
A: Simple Random Sampling: Simple random sampling is a sampling technique where every item in the…
Q: i) Identify the population, sample and sample size. ii) Identify a reasonable parameter and…
A: As per the guidelines of bartleby I am answering the first 3 subparts (i, ii, iii) of the question,…
Q: To obtain a smaller margin of error: choose a larger sample size. choose a smaller sample size.
A: The objective is to choose the correct answer for obtaining a smaller margin of error.
Q: Importance of explanatory research approach and simple random sampling techniques
A: Simple Random Sampling : It is the technique of drawing a sample in such a way that each unit of…
Q: Sample size depends on population size? True False
A: Solution
Q: sample is costly and require to long time * O stratified & cluster & systemic O stratified & random…
A: Sampling is a process, in which a certain number of observations are taken from a very large…
Q: Determine the minimum sample size required when you want to be 90% confident that the sample mean…
A: Given Data: Margin of error=1 σ=10.4 z-score corresponding to 90% Confidence level=1.645 Let n…
Q: Determine the minimum sample size required to have a margin of error of 3.5% with 90% confidence.
A: Determine the minimum sample size required to have a margin of error of 3.5% with 90% confidence.
Q: The sampling error is: an error that occurs during collection, recording, and tabulation of data O…
A: We have to use definition of sampling error to answer this question.
Q: State one advantage of using stratified random method for collecting this sample.
A: in stratified random sampling we divide the population in groups and then apply random sampling…
Q: Steps in plotting Completely Randomized Design
A: Creating a completely randomized design (CRD) is a part of experiment design.
Q: sample size n o
A: The central limit theorem states that the sampling distribution of the mean approaches a normal…
Q: how to calculate sampling weight
A: Sampling is a part of our day-to-day life which we use advertantly or inadvertantly . For instance a…
Q: Describe sampling and non-sampling errors with their types. Provide suitable examples to illustrate…
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Q: 2. Sampling Error. What iS a sampling error? How does it differ from other sources of error? In…
A: Sampling Error : Sampling error is the deviation between the sample statistic(estimator) and the…
Q: The total population of a study is given at 500. the required sample size is 125. Determine the…
A: Given N=500, n=125
Q: Explain the basic techniques of random sampling and these key concepts: population, sample,…
A: Population:Population is entire pool of people, objects or events from where a group is selected for…
Q: What is "Sampling"? Describe the various methods of statistical sampling and the characteristics of…
A: Sampling is a technique of selecting individual members or a subset of the population to make…
Q: 1. Central limit theorem for sample proportions 2. Central limit theorem for sample means
A:
Q: Describe the sampling distribution of the difference between two sample means when large samples are…
A: Sampling Distribution: The sampling distribution of the difference between Two mean shows The…
Q: The minimum sample size needed is Is this sample size practical?
A: In the table the minimum samples sizes are given for various situations.
Q: Current Attempt in Progress Indicate whether the central limit theorem will apply to describe the…
A: We have to find wheather we can apply clt or not.
Q: How to find the minimum sample size required to estimate and unknown population mean?
A: To find the minimum sample size required to estimate and unknown population mean,We can use Cochran…
Q: An important element in the design "pillar" is sample size. This is estimated based on which…
A: Determination of sample size in one of the important part of research design.
Q: 2. Sampling Error. What is a sampling error? How does it differ from other sources of error? In…
A:
Q: What are thw two requirements for a random sample?
A: In this case, we need to write the two requirements for the random sample.
Q: 1. Sampling Distribution. Distinguish between a distribution of sample means and a distribution of…
A: We know that- According to the central limit theorem, if the sample size is greater than 30 then the…
Q: Margin of error and standard error are same for a specific sample. Select one: True False
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Q: 1 The sample size must be increased by a factor of to decrease the margin of error by a factor of 2…
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Q: Identify the criteria needed to be specified in determining the appropriate sample size.
A: Sample size has to be determined properly always.
Q: sample size.
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Q: Define population and sample. List typical parameters from population and sample statistics.
A: It is needed to define the population and sample.
Q: findpopulation variance 78,45,49,65,9,2,5,45,65
A:
Q: num sample size required is computer users. major obstacle to getting a good estimate of the…
A: 11. The sample mean is within 11 minutes of the population mean, the standard deviation of the…
Q: Identify the two factors that determine the persuasiveness of evidence.How are these two factors…
A: Let P denote persuasiveness. Let E denote evidence. Let AP denote audit procedures. Let n denote…
Q: The minimum sample size needed is
A: Given Table:
Q: The total population of a study is given at 500. the required sample size is 125. Determine the…
A:
Q: A method or a set of procedures of using sample data to estimate a population parameter is called…
A: Given that, A method or a set of procedures of using sample data to estimate a population parameter…
Q: State the four assumptions required for one-way ANOVA. How crucial are these assumptions? One-way…
A: 1) Assumptions of one way ANOVA : Normality : Each sample is taken from a normally distributed…
Contingency Table
A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.
Binomial Distribution
Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.
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- What is meant by the sample space of an experiment?A researcher wishes to estimate, with 99% confidence, the population proportion of families who eat fast food at least once per week. Her estimate must be accurate within 5% of the population proportion.Find the minimum sample size needed, using a prior study that found that 16% of the respondents said they eat fast food four to six times per weekA researcher wishes to estimate, with 95%confidence, the population proportion of adults who eat fast food four to six times per week. Her estimate must be accurate within 5% of the population proportion. (a) No preliminary estimate is available. Find the minimum sample size needed. (b) Find the minimum sample size needed, using a prior study that found that 26% of the respondents said they eat fast food four to six times per week. (c) Compare the results from parts (a) and (b).
- A researcher wishes to estimate, with 95% confidence, the population proportion of families who eat fast food at least once per week. Her estimate must be accurate within 5% of the population proportion. (a) No preliminary estimate is available. Find the minimum sample size needed. (b) Find the minimum sample size needed, using a prior study that found that 16% of the respondents said they eat fast food four to six times per weekFor a one-sample test for a population proportion and sample size , why is it necessary that andare both at least 10 ?(A) The sample size must be large enough to support an assumption that the distribution of the population isapproximately normal.(B) The sample size must be large enough to support an assumption that the distribution of the sample isapproximately normal.(C) The sample size must be large enough to support an assumption that the sampling distribution of the sampleproportion is approximately normal.(D) The sample size must be large enough to support an assumption that the observations are independent.(E) The sample size must be large enough to support an assumption that the sample proportion is an unbiasedestimator of the population proportionAfter running a hypothesis test comparing the number of jelly beans that a sample of children eat over the course of the year with the number of jelly beans children eat in the overall population over the course of the year, I conclude that the sample of children ate significantly more jelly beans than the overall population of children. If the sample of children actually ate the same number of jelly beans as the overall population, my conclusion is an example of _______. a. sampling error b. a Type II error c. a Type I error d. a valid conclusion
- Amie Jackson, a manager at Sigma travel services, makes every effort to ensure that customers attempting to make online reservations do not have to wait too long to complete the reservation process. The travel website is open for reservations 24 hours a day, and Amie regularly checks the website for the waiting time to maintain consistency in service. She uses the following independently drawn samples of wait time during two peak hours, morning 8 a.m. to 10 a.m. and evening 7 p.m. to 9 p.m., for the analysis. Assume that wait times are normally distributed. Wait Time (in seconds) Morning hours 8 a.m. to 10 a.m. 97 101 115 107 129 98 96 132 118 104 123 128 95 127 112 Evening hours 7 p.m. to 9 p.m. 95 92 89 90 102 96 85 81 84 100 97 80 98 79 99 At the 10% significance level, which of the following is the correct conclusion? Do not reject H0. We conclude that the variance of wait time during morning peak hours differs from that during the evening peak hours. Reject H0. We…Amie Jackson, a manager at Sigma travel services, makes every effort to ensure that customers attempting to make online reservations do not have to wait too long to complete the reservation process. The travel website is open for reservations 24 hours a day, and Amie regularly checks the website for the waiting time to maintain consistency in service. She uses the following independently drawn samples of wait time during two peak hours, morning 8 a.m. to 10 a.m. and evening 7 p.m. to 9 p.m., for the analysis. Assume that wait times are normally distributed. Wait Time (in seconds) Morning hours 8 a.m. to 10 a.m. 97 101 115 107 129 98 96 132 118 104 123 128 95 127 112 Evening hours 7 p.m. to 9 p.m. 95 92 89 90 102 96 85 81 84 100 97 80 98 79 99 A 90% confidence interval is found to be [1.19, 7.36], where the morning is the first group and the evening is the second group. Which of the following is the correct conclusion? Multiple Choice We can conclude the…If the proportion of the population in City A that is over 65 years old is p1 and the proportion of the population in City B that is over 65 years old is p2, what is the null hypothesis for a test to determine if the proportion of the population that is over 65 years old is greater in City A?
- If the proportion of the population in City A that is over 65 years old is p1 and the proportion of the population in City B that is over 65 years old is p2, what is the null hypothesis for a test to determine if the proportion of the population that is over 65 years old is greater in City A? Select the correct answer below: H0: p1−p2=0 H0: p1−p2>0 H0: p1−p2<0 H0: p1−p2≠01. Find the minimum sample size (n) you use to so that p is within a margin of error of 3% with a 95% confidence level when p ̂ and q ̂ are unknown.3.Michael wants to make a confidence interval estimate for the proportion of community members in favor of a tax increase for more local school funding. If he wants the margin of error to be no more than 0.025 at a 90% confidence level, a)What is the required sample size required to obtain the desired margin of error