Question

In: Math

how to interpret confidence intervals and how NOT to interpret them. What are the assumptions to...

how to interpret confidence intervals and how NOT to interpret them.

What are the assumptions to justify the use of hypothesis testing?

If the null hypothesis is rejected, what can we conclude? If we know that 60% of ASU students like the parking and 50% of the community as a whole likes the parking, and the difference between the sample and population are tested, with the null rejected, what do we conclude? Is the difference significant? Not significant? Are ASU students significantly more likely or less likely to like the parking? Are they equally likely?

In order to reject the null when using a t distribution with small samples, what is needed? Consider size of the test statistic. Why?


Solutions

Expert Solution

Solution : Here the concept of hypothesis testing and confidence interval is used.


Related Solutions

Give and interpret the 95% confidence intervals for males and a second 95% confidence interval for...
Give and interpret the 95% confidence intervals for males and a second 95% confidence interval for females on the SLEEP variable. Which is wider and why? Known values for Male and Female: Males: Sample Size = 17; Sample Mean = 7.765; Standard Deviation = 1.855 Females: Sample Size = 18; Sample Mean = 7.667; Standard Deviation = 1.879 Using t-distribution considering sample sizes (Male/Female count) are less than 30
Purpose: • To create and interpret confidence intervals for the population proportion or population mean. •...
Purpose: • To create and interpret confidence intervals for the population proportion or population mean. • To do hypothesis testing on a population proportion or population mean. Due Date: Nov 27, 2018 at the beginning of class. What you must deliver: 1. Formulate a statistical hypothesis. 2. Develop a data production strategy. 3. Collect sample data. 4. Solutions to the questions (See below). 5. Reflection. Suggested ideas to consider: • Proportion of students at Cañada College who can raise one...
In polynomial regression, what assumptions underlie the (strict) validity of the various p-values and confidence intervals?
In polynomial regression, what assumptions underlie the (strict) validity of the various p-values and confidence intervals?
Give and interpret the 95% confidence intervals for males and females on the HEIGHT variable. Which...
Give and interpret the 95% confidence intervals for males and females on the HEIGHT variable. Which is wider and why? Give and interpret the 99% confidence intervals for males and females on the HEIGHT variable. Which is wider and why? Find the mean and standard deviation of the DRIVE variable and then determine the percentage of data points from that data set that we would expect to be less than 40. Height (inches) Sleep (hours) Gender 61 7 M 62...
Using the data down and interpret 95% confidence intervals for the mean age of an American...
Using the data down and interpret 95% confidence intervals for the mean age of an American truck driver.   This data represents a random sample of drivers in America. There are about 3.5 million truck drivers in the USA. Find:1- Sample Standard Deviation. 2- Sample Mean. 3- Sample size. 4- Standard error of the mean. 5-T-value. 6- Interval half-width. 7-Interval lower limit. 8- Interval upper limit  . Please use this data. Truck Drivers Employee Gender Age Total education years 1 M 30...
Construct and interpret 95% confidence intervals for the difference in mean pain intensity at 14 days...
Construct and interpret 95% confidence intervals for the difference in mean pain intensity at 14 days after treatment. (Use μVertebroplasty − μPlacebo. Round your answers to two decimal places.) -1.188 Correct: Your answer is correct. to .788 Correct: Your answer is correct. Interpret the interval. There is a 95% chance that the true mean pain intensity 14 days after treatment for the vertebroplasty treatment is directly in the middle of these two values. There is a 95% chance that the...
Calculate and interpret 90%, 95%, and 99% confidence intervals for both groups of approaches in question...
Calculate and interpret 90%, 95%, and 99% confidence intervals for both groups of approaches in question 5. Also provide 90%, 95%, and 99% confidence intervals for both groups when the sample size is increased from 10 to 150. Interpret all statistics. a. A random sample of 15 families representing three social classes has been observed for the frequency with which the parents administer physical punishment to the children over a period of a week. Are the differences significant? Use the...
How do confidence intervals differ from prediction intervals? How are these two intervals affected by the...
How do confidence intervals differ from prediction intervals? How are these two intervals affected by the distance value?
How do we interpret a confidence interval?
How do we interpret a confidence interval?
What are important assumptions for value models to work? How to check them?
What are important assumptions for value models to work? How to check them?
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT