For a population, N = 12,000 and p = 0.77.A random sample of 903 elements selected from this population gave p = 0.66. Find the sampling error. Enter the exact answer. sampling error =
Q: In order to get patients opinion about the services provided to them by a hospital, a sample of 500…
A: A systematic type of sampling is the sampling in which every kth member is selected to gather a…
Q: In a study, the sample is chosen by asking our 40 closest friends What is the sampling method?…
A: In stratified sample, the population is divided into stratas while the different samples have been…
Q: Calculate value of (t) if: first sample mean = 85, second sample mean = 91, and o x1-x2 =
A: We want to findvalue of t
Q: Find the estimated standard error for the sample mean for n = 12 and SS = 3463. Nearest hundredths…
A: We have given that Sample size n= 12 SS= 3463
Q: The average age of the MBA students in a statistics class is 30.7 years old. The ages of five…
A: Given data: 36, 25, 25, 29, 30.
Q: If Olivia wants to learn a foreign language to get an idea of how satisfied other students were…
A:
Q: Find the mean of the sampling distribution of sample means using the given information. Round to one…
A: Given information- Population Mean µ = 62 Standard deviation (σ) = 10 Sample size, n = 81 We have to…
Q: Suppose that your sample size was 37, what is P(t<-1.74) (Negative 1.74)?
A: Given information- Sample size, n = 37 t-score = -1.74 We have to find the p (t<-1.74). Degree of…
Q: Given 1,400 freshmen students with 600 male students and 800 female students, describe the way you…
A: The population is of freshmen students =1400The number of male students in Strata-1 =600The…
Q: find the sample proportion with n=1,120 and x=616
A: The random variable X is normally distributed. X ~ B (n, p) The sample size is 1120. The number of…
Q: Among the random and non-random sampling techniques that we have, which do you think is the most…
A: Random/Probability sampling is a technique in which each member of the population has an equal and…
Q: n each part, tell whether the sampling method is random and also if it is biased. If it is not…
A: Sampling bias: Sampling bias occurs when a certain part of the population is favored more into the…
Q: Decide if the following sampling methods produce a simple random sample of students from a class of…
A: As per Bartleby guideline for more than three question asked then only first three is to be answered…
Q: b. Alpha is 10%, the sample size is 45 and sigma is known.
A:
Q: Take a random sample of 50 pages from a book and estimate the proportion of all pages that contain…
A: Here we want to find proportion of pages that contain figures.
Q: At a large university, 80% of all students live on campus. Suppose a random selected from this…
A: At a large university 80% of all students live on campus; p=0.80 A random sample of 218 students is…
Q: A researcher studying the proportion of 8 year old children who can ride a bike, found that 219…
A: Given: n= 567 ,x= 219.0 Need to find sample proportion.
Q: From a list of 2000 students, we need to choose a sample of 125 students, if systematic random…
A: HERE IN SYSTEMATIC SAMPLING SAMPLE IS CHOSEN AFTER SPECIFIC INTERVAL.THAT INTERVAL IS CALLED…
Q: 0.845 ľyx2 0.791 Txx2 = 0.371
A: Solution : Given : n=5 k =2 ryx1= 0.845 ryx2 = 0.791 rx1x2=…
Q: We need to estimate the percentage of businesses that plan to hire additional employees in the next…
A:
Q: Suppose that we will randomly select a sample of n= 94 elements from a population and that we will…
A: From the given information, n=94 and p=0.8 n(1-p)=941-0.8 =18.8
Q: For each description of sampling, decide if the sampling technique is A. Simple Random B. Stratified…
A: 2. In cluster sampling, the population is divided into naturally occurring groups/sections called…
Q: A market researcher obtains a sample of 50 people by standing outside a store and asking every 20th…
A: Here the sample size n = 50 A researcher obtains data from every 20th customer.
Q: estimate the sample size for a population of 750 people.
A: To estimate the sample size the required calculation can be defined by the formula Slovin's…
Q: Assume that 26% of students at a university wear glasses. Suppose 300 students are randomly…
A: It is given that Sample size n = 300 Population proportion p = 0.26
Q: A researcher wants to study the effects of social media on Grade 11 Mathematics High School. He…
A: Note: " Since you have asked multiple questions, we will solve the first question for you. If you…
Q: how do you find the simple random sample of 15 restaurants?
A: In simple random sampling each member of the population has an equal chance of being included in the…
Q: Amanda is writing an article for the school newspaper about social media use among teens. She wants…
A: As per our guidelines, we are allowed to answer first three sub-parts only. Thanks A random sample…
Q: A marble manufacturer advertises that its bags of marbles will contain 25% "milky-white" marbles.…
A: In the context, the sampling percentage of milky-white marbles, p̂ is 25%. The total number of…
Q: To find out what the preferred ice cream flavor is, wait outside an ice cream parlor and ask every…
A: Given, To find out what the preferred ice cream flavor is, wait outside an ice cream parlor and ask…
Q: Describe the sampling distribution for the sample means
A: Given, n=100 μ=55 σ=20
Q: If 471 households were surveyed out of which 385 households have internet fiber cable, what is the…
A: Among 471 households 385 households have internet fiber cable, therefore 471-385 = 86 households…
Q: our population? W
A: A population is a total group included in the survey. A sample is a specific group from which data…
Q: Suppose you want to know how much students in Greek organizations study per week, on average.You…
A: Simple random sampling: Simple random sampling is defined as a method of sampling in which, a sample…
Q: Given 1400 freshmen students with 600 male students and 800 female students, describe the way you…
A: It is an important part of statistics. It is widely used.
Q: Match the name of the sampling method descriptions given. Situations asking people on the street v…
A: Stratified sampling method: In this method of sampling, the heterogeneous population is divided into…
Q: From a group of 496 students, every 49th student starting with the 3rd student is selected. Identify…
A:
Q: The sampling plan: n = 350 and c = 1, meets a confidence-reliability of (95%, 99%) A. True or False.…
A:
Q: In a simple random sample size of 89, there were 40 individuals in the category of interest. It is…
A: Solution
Q: 4a. Suppose that 35% of senior citizens have a social media account. If we survey 150 senior…
A: The question is about sampling distribution Given : Prop. of senior citizens have a social media…
Q: Explain the four different types of sampling and give an example of each.
A: Different types of sampling methods with examples.Types of random samplings(1) Simple random…
Q: Suppose the true proportion of voters in the county who support a new fire district is 0.53.…
A: The mean of the binomial random variable obtained by the formula μ=np, where (n) is the number of…
Q: Gary Chalmers is giving a sample of students at Springfield Elementary School IQ tests. To select…
A: Under simple random sampling, we use randomly generated table to the participants and pic randomly.
Q: Find the mean of the sampling distribution of sample means using the given information. Round to one…
A:
Q: Identify which type of sampling is used. A sample consists of every 49th student from a group of 496…
A: Given that Sample consists of every 49th student from a group of 496 students. We know that Sample…
Q: A radio advertiser wishes to choose a sample of size 100 from a population of 5000 listeners. He…
A: In stratified random sampling we divide the population into equal parts then we select proportional…
Q: If you divide an apartment complex's units according to the number of bedrooms, and then take a…
A: Given : E.g If you divide an apartment complex's units according to the no. of bedrooms , and then…
Q: Describe about the Sampling Distribution of t.
A: Sampling distribution is used to describe the sample statistic or any function of the sample, which…
Q: Discuss the four different sampling methods, and for each method, explain why we might use it.
A: Here we need to discuss four different types of sampling methods with their uses.
Step by step
Solved in 2 steps
- For a sample of 9 with a mean of 5994. How would i find the EX?A random sample of n = 25 individuals is selected from a population with μ = 20, and a treatment is administered to each individual in the sample. After treatment, the sample mean is found to be M = 22.2 with SS = 384. a. How much difference is there between the mean for the treated sample and the mean for the original population? (Note: In a hypothesis test, this value forms the numerator of the t statistic.) c. Based on the sample data, does the treatment have a significant effect? Use a two-tailed test with α = .05.A vehicle with a particular defect in its emission control system is taken to a succession of randomly selected mechanics until r = 16 of them have correctly diagnosed the problem. Suppose that this requires diagnoses by 20 different mechanics (so there were 4 incorrect diagnoses). Let p = P(correct diagnosis), so p is the proportion of all mechanics who would correctly diagnose the problem. What is the mle of p? p̂ = Is it the same as the mle if a random sample of 20 mechanics results in 16 correct diagnoses? Explain. No, the formula for the first one is (number of failures)/(number of trials) and the formula for the second one is (number of successes)/(number of failures). No, the formula for the first one is (number of failures)/(number of trials) and the formula for the second one is (number of successes)/(number of trials). Yes, both mles are equal to the fraction (number of successes)/(number of failures). No, the formula for the first one is (number of…
- A random sample of n=4 individuals is selected from population with µ = 35, and a treatment is administered to each individual in the sample. After treatment, the sample mean is found to be M= 40. 1 with SS= 48. a. How much difference is there between the mean for the treated sample and the mean for the original population?(note: In a hypothesis test, this value forms the numerator of the t statistic.) b. If there is no treatment effect, how much difference is expected between the sample mean and its population mean? That is, find the standard the standard error for M. (note: in a hypothesis test, this value is the denominator of the t statistic.) c. Based on the sample data, does the treatment have a significant effect? Use a two-tailed test with α=.05.A random sample of n= 4 individuals is selected from a population with μ = 35, and a treatment is administered to each individual in the sample. After treatment, the sample mean is found to be M = 40.1 with SS = 48. How much difference is there between the mean for the treated sample and the mean for the original population? (Note: In a hypothesis test, this value forms the numerator of the t statistic.) If there is no treatment effect, how much difference is expected between the sample mean and its population mean? That is, find the standard error for M. (Note: In a hypothesis test, this value is the denominator of the t statistic.) Based on the sample data, does the treatment have a significant effect? Use a two-tailed test with α = .05.In the EAI sampling problem, the population mean is $71,300 and the population standard deviation is $5,000. For n=20, there is a 0.3472 probability of obtaining a sample mean within +500 of the population mean. A) What is the probability that x is within $500 of the population mean if a sample size of 40 is used (to 4 decimals)?
- If a random sample of size n=160 has x¯=105 and s=9.5, find the standard error of the statistic.Round your answer to three decimal places, if necessary.A random sample of n = 12 individuals is selected from a population with μ = 70, and a treatment is administered to each individual in the sample. After treatment, the sample mean is found to be M = 74.5 with SS = 297.a. How much difference is there between the mean for the treated sample and the mean for the original population? (Note: In a hypothesis test, this value forms the numerator of the t statistic.)b. How much difference is expected just by chance between the sample mean and its population mean? That is, find the standard error for M. (Note: In a hypothesis test, this value is the denominator of the t statistic.)c. Based on the sample data, does the treatment have a significant effect? Use a two-tailed test with α = .05.A random sample of n = 25 individuals is selected from a population with μ = 20, and a treatment is administered to each individual in the sample. After treatment, the sample mean is found to be M = 22.2 with SS = 384. a. How much difference is there between the mean for the treated sample and the mean for the original population? (Note: In a hypothesis test, this value forms the numerator of the t statistic.) b. If there is no treatment effect, how much difference is expected between the sample mean and its population mean? That is, find the standard error for M. (Note: In a hypothesis test, this value is the denominator of the t statistic.) c. Based on the sample data, does the treatment have a significant effect? Use a two-tailed test with α = .05.