The manager of a department store wants to determine the proportion of customers who use the store's credit card when making a purchase. What sample size should he select so that at 96% confidence the error will not be more than 10%?   a. There is not enough information given to determine the sample size.     b. 106     c. 1     d. 76

Q: [t (47) = -8.21, p = .03] Based on the parenthetical statement given above, what is the sample size…

A: The t-critical value at 47 degrees of freedom is -0.82.

Q: In a sample of 550 students, 80% prefer online resources versus printed materials. The standard…

A:

Q: The degrees of freedom for the sample containing 10 measurements is v = 10. True False

A:

Q: 团 D avernge By using $ wOR sample, estimate the number of carS per village in the block aloug with…

A:

Q: (d) Write down the name of the sampling method for the following cases: (di) A fair representative…

A: Hello thankyou for the question. As you asked only answering two parts in part d of the question.

Q: 3. The Humane Society would like to conduct a telephone survey in a small town with a population of…

A:

Q: Find the standard error of the mean for each sampling situation assuming a normal population o = 54,…

A: From the provided information, Population standard deviation (σ) = 54 Sample size (n) = 9

Q: Whether the durability of a raw material is equal to a certain value 695 will be tested with…

A: It is required to test whether the durability of a raw material is equal to the given value or not.…

Q: a) With no prior research, what sample size should you gather in order to obtain a 0.015 margin of…

A: When we don't have any prior information about the population proportion, we generally take it as…

Q: An insurance company would like to determine the proportion of all medical doctors who have been…

A: Note- As per our policy we can answer only the first 3 sub-parts of a question. If you want…

Q: Samuel F.B. Morse (1791 – 1872), the creator of Morse Code, claimed that 12% of all letters used in…

A: The population proportion is 0.12. That is, p=0.12.

Q: c) If the sample size were 100 instead, how would your limits and conclusions change? UCL (enter…

A:

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&lt;-1.74). Degree of…

Q: The larger the sample size, the smaller the standard error. True or Fale?

A: Given that, The larger the sample size, the smaller the standard error.

Q: If the mean of the sampling distribution of the means is 12.4, what is the mean of the population?…

A: Given : The mean of the sampling dist. of the means is 12.4

Q: Suppose that for a sample size of n = 9, we have ; = 93 and ? = 1700. Calculate the sample standard…

A: Standard deviation is given by, s=√E(x2)-(E(X))2 E(X)= (summation Xi)/n And E(x2)= (summation Xi2)/n…

Q: b. Alpha is 10%, the sample size is 45 and sigma is known.

A:

Q: For the sampling distribution of the mean, o = o. O True O False

A: From the provided information, Sampling distribution of the mean σx̄ = σ

Q: Find the estimated standard error for the sample mean for n = 16 and SS = 3922. Nearest hundredths…

A: We find the standard error using the formula

Q: Samples of size n = 9 are selected from a normal population with µ = 80 and with σ = 18. What is the…

A: Here, the known values are  n = 9, µ = 80 and σ = 18

Q: Given the desired margin of error, population standard deviation, and level of significance, we use…

A: Solution

Q: For the exam scores. Class MT1 MT2 Sample size, n 14 13 Mean scores 75.3 826

A: Statistics Lecturer is testing the mean score for 3 classes Class MT1 MT2 MT3…

Q: Find the values of the UCL and LCL for the  (x-bar) chart for this data,

A: The constant required to determine the control limits of xbar chart is given by A2 = 0.373 (for…

Q: Given this information, what would the sampling error be if a sample including the seven values in…

A: The population is defined as the set of observations as a whole. Sampling error defines how further…

Q: When working with the sampling distribution of a sample proportion, what do we need to require to…

A: Sampling Distribution of a Proportion There are several ways to calculate the sampling distribution…

Q: Which of the following sample results yields a 95% CI for µ with the smallest width and why? (i) x =…

A:

Q: Find the estimated standard error for the sample mean for n = 10 and SS = 3896. Nearest hundredths…

A:

Q: A random sample of size2 was taken from the data set: \(45, 40, 55, 62, 39/), what is the mean of…

A: Mean of sample mean is always equal to population mean.

Q: If the sample size is n=16 what is likely true about the shape of the population?

A: Solution:  Central limit theorem: The central limit theorem state that as the sample size increases…

Q: Assume the scores at this school have the same distribution as national scores. What is the mean of…

A: here given , The scores of individual students on the American College Testing (ACT) Program…

Q: When estimating the proportion of Ole Miss students that support moving the Confederate statue, how…

A:

Q: When calculating the sample size for a research study, a researcher should always round the final…

A: The statement is true.

Q: As a manufacturer of golf equipment, the Spalding Corporation wants to estimate the proportion of…

A: From the provided information, Margin of error (E) = 0.025 Confidence level = 99% Assuming the…

Q: For a sample of n=16 scores, how many scores are used to calculate the sample variance?

A:

Q: Determine the shape of the sampling distribution of the sample mean given the following information:…

A:

Q: Find the estimated standard error for the sample mean for n = 8 and SS= 5042.

A: Given n=8, SS=5042

Q: Given the following frequaney table, the sample mean () is 1 2 3 12 13 15 10 4.

A:

Q: 4. How many samples are needed for the sample size to be considered as large? A. n>10 B. n>20 C.…

A: It is given that the statements. Here, need to find out the correct choices for the given statement.

Q: a) What proportion of workers answered yes to the survey? b) What was the margin of error?

A: Here, the 95% confidence interval for the proportion of workers that answered 'yes' is (0.62, 0.73).…

Q: If the sample size is decreased, then the sampling error will -- a. not change b. Increase c.…

A: The sampling error is sn.

Q: (c) If we want a margin of error of only + 1.0, what sample size is needed? Round your answer up to…

A: The following information is provided. consider the level of significance is 0.05. Also,

Q: Which of the following sampling methods was used in the study described below?  A researcher is…

A: There are various types of sampling procedures, which can be categorized into two groups:…

Q: If we want to estimate the population proportion with a margin of error of 0.10 for a level of…

A: Given data,E=0.10z value at 90% confidence is Zc=1.645let proportion p=0.5n=?

Q: In each of the following settings, decide whether you should use two-sample z procedures for a…

A: When the population is larger and they can't be compared easily and hence sample is taken from the…

Q: The difference between the sample value expected and the estimates value of the parameter is called…

A: In statistics, we say that expected value and estimated value. The estimated value is the actual…

Q: Find the estimated standard error for the sample mean for n = 13 and SS = 3639. Nearest hundredths…

A: It is given that n = 13 and SS = 3639.

Q: Below you are given the values obtained from a random sample of 4 observations taken from a normal…

A: Given data: 32,34,35,39

Q: Is the statement below true or false? The mean of the sampling distribution of p is p. Choose the…

A:

Q: It is claimed that the mean household size in the River Terrace neighbourhood is 3.5 persons. A…

A: Given that ; Population mean (μ) = 3.5 persons Sample size ( n) = 25  Note :  according to the…

Estimation

A new framework of data analysis where the new statistical methods are used for interpreting the results and analyzing the data is known as estimation in statistics.