Births. Randomly selected births records were obtained and results are listed in the table below (based on data from the National Vital statistics Report, Vol. 49, No.1). Use a 0.05 significance level to test the reasonable claim that births occur with equal frequency on the different days of the week. How might the apparent
Interpretation of results of a chi-square test:"Effects of crude oils on the Gastroinstestinal parasites of two species of Marine fish" For full details of problem, see attached JPG file.
USA Today reported on preferred types of office communication by different age groups ("Talking Face to Face vs. Group Meetings," USA Today, October 13, 2003, A1). Suppose the results were based on a survey of 500 respondents in each age group. The results are cross-classified in the following table. Type of Communication
Question: Use the given contingency table to (a) Find the expected frequencies of each cell in the table. (b) Perform a chi-square test for independence. (c) Comment on the relationship between the two variables. Assume the variables are independent. The contingency table shows the results of a random sample of 500 ind
1. In a study of store checkout scanning systems, samples of purchases were used to compare the scanned process to the posted prices. The accompanying table summaries results for a sample of 819 items. Regular-priced items Advertised-special items Undercharge 20 7 Overcharge 15 29 Correct price 384 3
The results from a survey are below: Item Number of Votes Doughnuts 20 Apple Turnovers 6 Doughnut Holes 5 Bismarcks 4 Pomegranate Cookies 5 Based upon all of this information, do a "goodness-of-fit" test to see if the distributions are th
Explain why the value at the bottom left corner on the x axis of the Chi Square distribution curve is zero.
Can right tailed, left tailed, and two tailed distributions be tested with the Chi Square? Explain.
What happens to the shape of the Chi Square distribution curve as the sample size gets larger? What about when the number of cells or groups gets larger?
I need to find out if the percentage distribution differs for smokers and non-smokers between men and women. Use Chi-square (level of significance .05) test and need a 2 by 2 contingency table that looks like: Smokers found Yes No Males 12
Need full and good explanation to my query. I am wondering which stats test to use : I am doing a project which is about whether sex ratio affects the occurrence of courtship behaviour in a fish. I am also looking to see if the time at which the observations for each sex ratio affects the occurrence: Data: Time sex ratio
12.) For many years TV executives used the guideline that 30 percent of the audience were watching each of the prime-time networks and 10 percent were watching cable stations on a weekday night. A random sample of 500 viewers in the Tampa-St. Petersburg, Florida, area last Monday night showed that 165 homes were tuned in to the
1. Assume that a simple random sample has been selected from a normally distributed population. Find the test statistic, a range of numbers for the P-value, critical value and state the final conclusion. Claim:- The mean bottom temperature of a fish breeding pond is less than 20 degree celcius. Sample Data:- n=56, x-bar =1
Chapter 10, Exercise 22, page 343 Given the following hypothesis: A random sample of six resulted in the following values: 118, 105, 112, 119, 105, and 111. Using the .05 significance level, can we conclude the mean is different from 100? a. State the decision rule. b. Compute the value of the test statistic. c.
Solve Problem by using t test and to compare the means of two groups of data. Also work through a chi square test.
1. Work through a t-test to compare the means of two groups of data. 2. Work through a chi-square test to compare the expected and observed frequencies of two groups. There are three hypothesis tests here. Two for question 1 and one for question 2. For each write down 1) the null and alternative hypotheses, 2) the signifi
On pg. 612 #4 The accuracy of Polygraph Tests The data in the accompanying table summarize results from tests of the accuracy of polygraphs (based on data from the Office of Technology Assessment). Use a 0.05 significance level to test claim that whether the subject lies is independent of the polygraph indication. What do the
One criterion used to evaluate employees in the assembly section of a large factory is the number of defective pieces per 1,000 parts produced. The quality control department wants to find out whether there is a relationship between years of experience and defect rate. Since the job is repetitious, after the initial training pe
Many companies use well-known celebrities as spokespersons in their TV advertisements. A study was conducted to determine whether brand awareness of female TV viewers and the gender of the spokesperson are independent. Each in a sample of 300 female TV viewers was asked to identify a product advertised by a celebrity spokesper
See attached file for full problem description. 1. A teacher figures that final grades in the statistics department are distributed as A-25%, B-25%, C-40%, D-5%, and F-5%. At the end of a randomly selected semester, the following number of grades were recorded. Determine if the grade distribution for the department is differe
8. A telephone survey utilized a sampling frame of 2000 numbers, and had a response rate of 25%. A question asked respondents if they preferred Brand 1, Brand 2, or Brand 3. According to the company, 35% of their customers preferred Brand 1, 35% preferred Brand 2, and 30% preferred Brand 3. The telephone survey found that 40%
1. How many different ways is it possible to get seven heads in a sample of twenty coin flips? 2.What is the probability of getting seven heads in a sample of twenty coin flips? Is this significantly different from the population in which P = 0.50 if the alpha is 0.05? 3. In which case would it be easier to reject the null
I need to come up with a mean, standard deviation, histogram, and/or any other relevant calculations with the following data. Is this possible please show me what results you came up with and the process of retrieving those calculations. If not, what type of additional information is needed? Please show me examples and walk me t
ANALYSIS OF VARIANCE #10 The manager of a computer software company wishes to study the number of hours senior executives spend at their desktop computers by type of industry. The manager selected a sample of five executives from each of three industries. At the 0.05 significance level, can she conclude there is a difference in
The safety director of Honda USA took samples at random from the file of minor work-related accidents and classified them according to the time the accident took place. Time No. of Accidents Time No. of Accidents 8 up to 9 a.m. 61 up to 2 p.m. 7 9 u
In an epidemic of a certain disease, 920 children contracted the disease. Of these, 400 received no treatment, and of those, 98 suffered after-effects. Of the remainder who did receive treatment, 162 suffered after-effects. Show that chi squared = 4.90 and test the hypothesis that the treatment was not effective.
Question 1 a. State the hypothesis b. Find the critical value. c. Compute the test value. d. Make the decision. e. Summarize the results. In a recent study, the following percentages of U.S. retail car sales based on size were reported: 28.1%small, 47.8% midsize, 7% large, and 17.1% luxury. A recent survey of retail
Level of education attained by the women from a rural region is divided into three categories: can read/write degree; primary degree; secondary and above degree. A demographer estimates that 28% of them have can read/write degree, 61% have primary degree and 11% have higher secondary degree. In order to verify these percentages,
An EMT Service keeps records of emergency calls. A study of 150 five-minute time intervals resulted in the distribution of number of calls as follows. For example, during 18 of the five-minute intervals, no calls occurred. USe the chi-sqaure goodness-of-fit test and significance level =.01 to determine whether this distributi
Hypothesis - To test mean job satisfaction. See attached file for full problem description.
1) Two hundred managers from various levels were randomly selected and interviewed regarding their concern about environmental issues. The response of each person was tallied into one of three categories: no concern, some concern, and great concern. The results were: Level of Management No Concern Some Concern Great Concern To