As the plant operations manager for Oxford Biotech, you are responsible for monitoring the amount of product placed in each carton. To be consistent with package labeling, cartons should contain a mean of 368 grams of product. Thousands of cartons are produced during a shift, and weighing every single carton was determined to be too time-consuming, costly, and inefficient. Instead, a random sample of cartons is selected. Based on your analysis of the sample, you had to decide whether to maintain, alter, or shut down the process. In a prior question, you assumed a sample size of n 25 was selected %3D from a population with mean of 368 grams and standard deviation of 15, and you calculated the probability of selecting a sample with a mean of 365 grams or less. If a larger sample size is selected, the sample mean will be closer to the population mean. This result can be illustrated by calculating the probability of selecting a sample with a mean of 365 grams, if the sample size were increased to n = 100. Using this larger sample size, the probability of selecting a sample with a mean of 365 grams or less is (Do NOT enter as a percentage). Enter your answers using 4 decimal places

Researchers want to estimate the percentage of people who thought drinking and driving was a serious problem. Reserchers waited outside a bar to question people. They usually find 11%of bar patrons believe drinking and driving is a serious problem. a. identify the populatin of interest b. identify the sample c. identify the population parameter of interest d. identifywho if anyone was left out of the study

The price drivers pay for gasoline often varies a great deal across regions throughout the United States. The following data show the price per gallon for regular gasoline for a random sample of gasoline service stations for three major brands of gasoline (Shell, BP, and Marathon) located in eleven metropolitan areas across the upper Midwest region (OhioGasPrices.com website, March 18, 2012). Click on the datafile logo to reference the data. DATA file Shell BP Metropolitan Area Marathon Akron, Ohio Cincinnati, Ohio Cleveland, Ohio Columbus, Ohio Ft. Wayne, Indiana Indianapolis, Indiana Lansing, Michigan Lexington, Kentucky Louisville, Kentucky Muncie, Indiana Toledo, Ohio 3.77 3.72 3.87 3.76 3.78 3.87 3.89 3.79 3.83 3.83 3.85 3.77 3.83 3.85 3.93 3.84 3.84 4.04 3.87 3.87 3.99 3.79 3.78 3.81 3.69 3.78 3.84 3.84 3.83 3.79 3.79 3.86 3.86 Use a = .05 to test for any significant difference in the mean price of gasoline for the three brands. Round SS to 6 decimals, MS to 6 decimals, F to 2…

A pool of 500 Houston residents indicated that 16% of them participated in Women’s March on January 21, 2017. We are interested in figuring out the actual percentage of Houston residents that participated in Women’s March. Please answer the following questions.       1. What kind of data is this? Numerical data Categorical data   2. What is the research question? What is the population proportion of Houston residents who participated in Women’s March? What is the percentage of 500 Houston residents who participated in Women’s March? What is the population of Houston residents? What is the sample proportion among the 500 Houston residents who participated in Women’s March? What is the population of Houston residents who participated in Women’s March? What is the pool of 500 Houston residents?   3. What is the population of interest? All Houston residents All US residents 16% of the 500 Houston residents from the pool who participated in Women’s…

Joan's Nursery specializes in custom-designed landscaping for residential areas. The estimated labor cost associated with a particular landscaping proposal is based on the number of plantings of trees, shrubs, and so on to be used for the project. For cost-estimating purposes, managers use two hours of labor time for the planting of a medium-sized tree. Actual times from a sample of 10 plantings during the past month follow (times in hours). B, C, and D

We asked UST employees to tell us how many megabytes of memory (RAM) they have on their computer. WWe would like to test to see if the mean amount of memory is the same for three different academic departments. We have the memory amounts for six faculty members' machines in the three departments shown below. Dept. 1 Dept. 2 Dept. 3 1 2048 4096 4096 2 2048 2048 4096 3. 2048 2048 8192 computer 4 2048 4096 8192 2048 2048 4096 6. 2048 8192 4096 Here is the ANOVA table: Analysis of Variance Source DF Adj SS Adj MS F-Value P-Value Factor 34952533 17476267 XXX 0.020 Error XX 51030699 3402047 Total XX 85983232 Calculate the value of the F test statistic and enter here:

You are a public health researcher.  You want to see if the average age that a person starts smoking has changed over time.  Smokers are recruited to answer a survey that asked at what age they started smoking.  You divided participants into two groups, one is participants under the age of 30 and the second for participants over the age of 30.  The average age for the two groups were compared. Which statistical test would be best to determine if there is a significant different in starting age between the two groups.     one-sample t-test     related samples t-test     independent samples t-test     ANOVA

A retail chain plans to sell bottles of a special holiday drink this season. The bottles are typically stocked one month in advance and sold before the holiday for full price. After the holiday, the leftover bottles would be marked down to get sold. For each bottle, the item cost is $3.85, the full selling price is $11.99, and the marked down price is $0.98. Historically, demand is normally distributed with a mean of 1.28 million bottles and a standard deviation of 0.04 million bottles. You would need to show equations, steps, and the final results with units for full credits. Answers are in millions using 5 decimals, e.g. 1.76384 million bottles. You should not round up the numbers! For simplicity, all taxes and other costs are not considered. All parts below are based on the optimal quantity decision found in part (a). (a) To maximize expected profit, how many bottles should the retailer carry this year? (b) What are the expected inventory and the corresponding expected sales? (c)…

Students at a major university in Southern California are complaining about a serious housing crunch. Many of the university's students, they complain, have to commute too far to school because there is not enough housing near campus. The university officials' response is to perform a study. The study, reported in the school newspaper, contains the following histogram summarizing the commute distances for a sample of 100 students at the university: Frequency 30- 25- 20+ 15- 10 5 0. 0 23 4 27 18 14 12 8 12 16 Commute distance (in miles) 20 6 24 Based on this histogram, draw the ogive (the cumulative relative frequency polygon) for the data in the study.

The Federal Bureau of Investigation (FBI), as part of its internal security mission, serves as a database for all the reported crimes committed in the United States. One question that might be of interest is does having more police officers reduce the number of homicides? To investigate this claim, the 2013 data from the twenty largest municipal cities was supplied by the FBI's Uniform Crime Report. Below are two observations from the dataset: > head (cities) City Pop Homicides Police Density MedHome Mayor 1 New York 8175.133 335 4.2595 27016.30 5.5390 1 2 Chicago 2695.598 414 4.4309 11843.58 1.8310 The variables included in the study are: Name of city Population of city in 1,000s of people Number of homicides in the year 2013 Number of police officers per 1,000 people Number of people per square mile Median home price in $100,000 1 if city has a "Strong Mayor" form of government; 0 if not City Рор Homicides Police Density MedHome Мayor Model: log(u;) = Bo + B1Police; + B2MedHome; +…