The incidence of a certain type of chromosome defect inthe U.S. adult male population is believed to be 1 in 75.A random sample of 800 individuals in U.S. penal institutionsreveals 16 who have such defects. Can it be concludedthat the incidence rate of this defect among prisonersdiffers from the presumed rate for the entire adultmale population?

The incidence of a certain type of chromosome defect inthe U.S. adult male population is believed to be 1 in 75.A random sample of 800 individuals in U.S. penal institutionsreveals 16 who have such defects. Can it be concludedthat the incidence rate of this defect among prisonersdiffers from the presumed rate for the entire adultmale population?

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...

See similar textbooks

Similar questions

Consider the information above and in question 1. It is conjectured that the mean number of people attending all 2017 Veterans Day celebrations is 145, and of interest is to test this conjecture versus the alternative that the mean number of people attending all 2017 Veterans Day celebrations is different from 145 people To test the hypothesis, a simple random sample of 41 Veterans Day celebrations was selected and the number of people attending each was recorded. The mean number of people attending for this sample of 41 celebrations was 157, with a standard deviation of 23 people. The distribution of the data was bimodal. If appropriate, use this information to test the hypotheses stated in question 3 at the a= .05 level of significance. 4 Are the assumptions met? Yes, because there is a simple random sample Yes, because there is a simple random sample and the population is normally distributed Yes, because there is a simple random sample and the sample size is large enough for the…
A random sample of 37 MBAs working in New York revealed that their mean annual salary was $132,000. Suppose that the population standard deviation o is $31,000 but that the population mean μ is unknown. What is the point estimate (i.e. the "best guess") of the mean salary μ of all MBAs in this city? O $99,000 O $132,000 O $116,000 O $31,000
A company produces scooters used by small businesses that find them convenient for making short deliveries. The company is notified whenever a scooter breaks down, and the problem is classified as being either mechanical or electrical. The company then matches the scooter to the plant where it was assembled. The data table to the right contains a random sample of 200 breakdowns. Use the data file and the relative frequency assessment method to complete parts a through c. Electrical Mechanical Total Plant 1 21 52 73 Plant 2 74 53 127 Total 95 105 200 a. What is the probability a scooter was assembled at Plant 2? P(Plant 2) = (Type an integer or a decimal.) b. What is the probability that a scooter breakdown was due to a mechanical problem? P(mechanical) =D(Type an integer or a decimal.) c. What is the probability that a scooter breakdown was due to an electrical problem and the scooter was assembled at Plant 2? P(electrical and Plant 2) = (Type an integer or a decimal.)
7. please help a through d.
Question 3 According to a Kaiser Family Foundation survey, children aged 8 to 18 years in the United States spend an average of 190 minutes per day watching television. A recent random sample of 4 such children showed the following results: 200, 210, 230, 220 (in minutes) At the 5% level of significance, can you conclude that the current mean time spent watching television per day by children in this age group differs from 190 minutes? a)Step 1: State the null and alternative hypotheses. b)Step 2: Write down the appropriate test statistic (formula) , but first check assumptions c) Step 3 :Write down the rejection region of your test. d)Step 4: Compute the value of the test statistic (i) The sample mean = The sample standard deviation = (iii) The value of the test statistic = e) Step 5: State your conclusion: (i) Reject Ho Do not reject Ho (Just circle) (ii) In one sentence apply the results to the problem. f)What type of mistake could you have made in your hypothesis test? (Just circle…
Consider the data from the Anthropology 105 class. The mean for women is 64.33 in and the standard deviation is 2.64 in. The average height of men in the US is approximately 5ft 10in. What proportion of women represented here are shorter than the average man?
When the nature of population from which samples is drawn is not known to be normally distributed the data can be analysed with the help of a. Parametric statistics b. Descriptive statistics c. Non-parametric statistics d. None of the above
QUESTION 5 What is iny 0.8944)? (Use the normal tables and report to two digits.) QUESTION 6 What is 0inyl 0.9878)? (Use the normal tables and report to two digits.)
Question 2 At the end of 2020, the mean age of the U.S. population was estimated to be 38.5 years old. You are tasked with determining whether the mean age of the population of IAT participants (for your chosen IAT data set) differs from the mean age of the U.S. population. 1. Let be the mean age of the population of IAT participants for your chosen IAT data set. State the hypotheses (symbolically and in words). Include a clear description of the populations and the variable. 2. 3. 4. Use StatCrunch to create a histogram for the age distribution in your unique IAT sample. Download the StatCrunch output window and embed your histogram with your response. Can we safely use the t-test with your IAT sample? Explain. Perform the t-test using StatCrunch. Copy the information from the StatCrunch output window and paste it into your response. Based on the P-value, state your conclusions in context. Use a 5% level of significance. (NOTE: Since StatCrunch correctly calculates the P-value for…
News reports speak of an emerging crisis of childhood obesity in the United States. The National Health and Nutrition Examination Survey (NHANES) is a government survey run every several years recording a number of vital statistics on a random sample of Americans. A body mass index (BMI) is computed for each individual in the sample based on the individual's height and weight. Here are sample results for 8-year-old boys over the past 40 years. The table gives the sample size for 3 different surveys, the sample mean and sample standard deviation. Suppose we want to run an ANOVA to see if there is a difference in mean BMI for the three surveys. Assume each survey is a random sample and there are no extreme outliers.What is the sample standard deviations for each survey? ...the NHES II study? ...the NHANES II study? ...the NHANES study?
Consider the information above and in question 1. It is conjectured that the mean number of people attending all 2017 Veterans Day celebrations is 145, and of interest is to test this conjecture versus the alternative that the mean number of people attending all 2017 Veterans Day celebrations is different from 145 people To test the hypothesis, a simple random sample of 41 Veterans Day celebrations was selected and the number of people attending each was recorded. The mean number of people attending for this sample of 41 celebrations was 157, with a standard deviation of 23 people. The distribution of the data was bimodal. If appropriate, use this information to test the hypotheses stated in question 3 at the a = .05 level of significance. O 7 What is the p-value? 0.05 p-value < 0.10 0.0005 0.03 0.001 < p-value < 0.002 0.0008 4-
2. A normal level glucose control (80 – 105 mg/dL) was tested at the beginning of the morning shift at a local hospital. The reagent used was of the same lot number, the instrument operator was the same, and all conditions were controlled to ensure the results would not be affected by environment or by any condition that could be controlled. The following values were recorded in 12 consecutive days. Calculate the Standard error of the mean (SEM) Days Glucose levels (mg/dL) 92 1 93 92 4 90 89 6. 87 7 88 8. 89 9. 88 10 92 11 88 12 91