uppose a simple random sample of sizen 150 is obtained from a population whose size is N 25,000 and whose population proportion with a specifed characteristic p0.6. Complete parts (a) through (e) below. )Describe the sampling distribution of p Choose the phrase that best describes the shape of the sampling distribution below OA Not normal because ns0.05N and no(1-pa 10. OR. Approomately normal becausens0.05N and nelt-p)<10 OG Not nomal becausens0.0N and np(1 p 1o. 0. Approximataly nomal becausens0.0SN and nettpa 10 Determine the mean of the samping diatrion ofp Round to one decimal place as needed)

uppose a simple random sample of sizen 150 is obtained from a population whose size is N 25,000 and whose population proportion with a specifed characteristic p0.6. Complete parts (a) through (e) below. )Describe the sampling distribution of p Choose the phrase that best describes the shape of the sampling distribution below OA Not normal because ns0.05N and no(1-pa 10. OR. Approomately normal becausens0.05N and nelt-p)<10 OG Not nomal becausens0.0N and np(1 p 1o. 0. Approximataly nomal becausens0.0SN and nettpa 10 Determine the mean of the samping diatrion ofp Round to one decimal place as needed)

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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et's look at attendance between the two leagues and draw some conclusions. For purposes parts D and E, we are assuming that separating the data into 2 groups based on League is considered sampling; thus, we have 2 samples (American League and National League) and assume we do NOT know the population standard deviations for both "populations" (we only have 1 overall population, not 2). What was the average attendance in each league? Round your answer to 3 decimal places. American League average attendance mil National League average attendance mil space space Perform a hypothesis test to determine whether there is a difference in the mean attendance of teams in the American League vs teams in the National League. Use a 0.05 level of significance in your testing procedures. Additionally: You will need to know the standard deviations and variances for attendance in each league to conduct this test. We are assuming that both American and National League attendance…
The 11 participants in an experiment had the following reaction times (in milliseconds). 231, 480, 480, 484, 486, 492, 497, 501, 505, 507, 509 Complete the parts below to identify any outliers. (a) Let Q, be the lower quartile and Q, be the upper quartile of the data set. Find Q, and Q, for the data set. 2₁-0 2₁-0 (b) Find the interquartile range (IQR) of the data set. IQR- (c) Calculate a lov boundary using Q₁-1.5 1QR. Calculate an upper boundary using Q, +1.5-1QR. (Note that 1.5 1QR means 1.5 times the IQR.) Lower boundary: Upper boundary: (d) Any values less than the lower boundary or greater than the upper boundary are considered outliers. Identify all the outliers of the data set. If there is more than one outlier, separate them with commas. If there are no outliers, click "None". Outliers: na None
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Percentage of 18- to 24-year olds living in parents' homes Refer to the figure at the right. At a = 0.05, can you support the claim that the proportion of men ages 18 to 24 living in parents' homes was greater in 1999 than in 2005? Assume the survey included 13,400 men and 13,600 women in 1999 and 13,900 men and 13,500 women in 2005, and assume the samples are random and independent. 707 55.9% 53.5% 41.8% 43% 0- 1999 2005 Men Women Identify the null and alternative hypotheses. Choose the correct answer below. O B. Ho: P1 > P2 O A. Ho: P1 > P2 Ha: P1 P2 O D, Ho: P1 P2 Find the critical value. The critical value is zo = 1.64 . (Round to two decimal places as needed.) Find the standardized test statistic. (Round to two decimal places as needed.)
6.3.10 Question Help ▼ Three randomly selected households are surveyed. The numbers of people in the households are 1, 4, and 10. Assume that samples of size n =2 are randomly selected with replacement from the population of 1, 4, and 10. Construct a probability distribution table that describes the sampling distribution of the proportion of odd numbers when samples of sizes n = 2 are randomly selected. Does the mean of the sample proportions equal the proportion of odd numbers in the population? Do the sample proportions targe the value of the population proportion? Does the sample proportion make a good estimator of the population proportion? Listed below are the nine possible samples. 1,1 1,4 1,10 4,1 4,4 4,10 10,1 10,4 10,10 2 Construct the probability distribution table. Sample Proportion Probability (Type an integer or fraction.)
Score: 36.6/100 14/25 answered • Question 24 Suppose the true proportion of voters in the county who support a new fire district is 0.54. Consider the sampling distribution for the proportion of supporters with sample size n = 131. What is the mean of this distribution? What is the standard error of this distribution? பமmt Cuestiom W search,
What is the P-value for this sample ( report answer accurate to four decimal places.) p-value=
A company wants to determine whether its consumer product ratings (0 - 10) have changed from last year to this year. The table below shows the company's product ratings from eight consumers for last year and this year. At a = 0.05, is there enough evidence to conclude that the ratings have changed? Assume the samples are random and dependent, and the population is normally distributed. Complete parts (a) through (f). Consumer Rating (last year) Rating (this year) 2 3 5 6 7 8 5 6. 8 6. 4 4 4 4 9 3 (a) Identify the claim and state H, and Ha. The claim is "The product ratings have from last year to this year." Let Hg be the hypothesized mean of the ratings last year minus the ratings this year. State H, and Ha. Choose the correct answer below. O A. Ho: Ha # 0 O B. Ho: Hd 2 0 OC. Ho: Ha = 0 Ha: Ha = 0 Hạ: Ha 0 O E. Ho: Ha zd Ha: Ho 2.365 B. t 1.895 O D. t>1.895
STRATIFIED Random Sampling 1. Below is the number of students taking up statistics from each department. A seminar will be conducted outside the campus: Table 1: Number of Students enrolled in Statistics Course Number of Percent (c) (d) students (0.0000) (whole no.) (whole no.) Nursing 1,120 HRM 589 Engineering 557 IT 434 Total 2,700 a. Which between the 3% and the 5% margin of error will allow the department to work within the budget? Justify your answer. b. At 5% margin of error, how many participants should be taken as samples? c. Using proportional allocation, how many participants will be taken from each department (refer to n in "b")? d. Using equal allocation, how many participants will be taken from each department (refer to n in "b")?
Suppose I want to sample the household incomes for EBR parish. Let's say I start with a simple random sample of 100 residents and calculate the sample mean. How would the sampling distribution of change if I increase the sample size to 1,000 residents?
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