statistics

The purpose of this assignment is to reflect on your understanding of topics you have learned so far about the margin of error and the Confidence Interval and then explaining it to someone else. Discuss the following and give real life examples. Why do we have a Margin of Error in Statistics? If statistics are … Read more

Statistics

Problem 2 (35%) – File: Bank. xlsx Community Bank would like to increase the number of customers who use payroll deposit. Management is considering a new sales campaign that will require each branch manager to call each customer who does not currently use payoff direct deposit. As an incentive to sign up for payroll direct … Read more

Statistics

  Problem 1 (35 % marks) File: MALL. XLS A national chain of women’s clothing stores with locations in the large shopping malls thinks that it can do a better job of planning more renovations and expansions if it understands what variables impact sales. It plans a small pilot study on stores in 25 different … Read more

Post

 Give an example of an interval estimate of an average or proportion you may use in your daily life. For instance, you may say that you are pretty sure your average commute time is between 25-30 minutes, or you are fairly confident that between 60-65% of the population love dogs. Collect some data to see … Read more

Statistic

  Collect some quantitative data (if your data from week 1 is quantitative, you can use it). Find the sample mean and standard deviation. Plot it in a histogram. Does the data seem to follow the bell curve of the normal distribution? What features of the data do or do not fit in with the … Read more

week 7 summarize and evaluate a peer review Journal article

For this assignment, you read the article written by Buzi, Smith, and Weinman (2014) located under your weekly resources. These authors used a chi-square analysis to analyze the data from their research study.    Now, make  a summary of the research, including background information on the topic, the main hypotheses, methods, results, and the conclusions … Read more

Statistic

Collect some quantitative data (if your data from week 1 is quantitative, you can use it). Find the sample mean and standard deviation. Plot it in a histogram. Does the data seem to follow the bell curve of the normal distribution? What features of the data do or do not fit in with the shape … Read more

STATISTICS

 Consider a 10 question multiple choice test. How many answer options  would you need on each item to ensure that the probability of a student  randomly guessing earning a passing mark is less than 1 percent? How  does the required number of answer options change if the total number of  items is reduced to 5? … Read more

Post 3

Post (300+ words):  Give an example of an interval estimate of an average or proportion you may use in your daily life. For instance, you may say that you are pretty sure your average commute time is between 25-30 minutes, or you are fairly confident that between 60-65% of the population love dogs. Collect some … Read more

Correlation in statistics

1  – Fitness data. Various measures of heart and pulse rate were taken on men in a physical fitness course at N.C. State Univ. The information provided has the following information: · runpulse: Pulse rate while running  · maxpulse: Maximum pulse rate · rstpulse: Resting pulse rate · oxy: oxygen consumption Write a report describing … Read more