Conduct a hypothesis test for each problem, using the traditional method. Show the 5 steps and all work for each hypothesis test. Be sure you select the correct test to use for each problem.
1. A telephone company claims that less than 30% of all college students have a limited number of text messages per month. A random sample of 150 students revealed that 41 of them have a limited number. Test the company's claim at the 0.01 level of significance.
2. A college statistics instructor claims that the mean age of college statistics students is 25. A random sample of 98 college statistics students revealed a mean age of 23.1. The population standard deviation is known to be 3.21 years. Test his claim at the 0.05 level of significance.
3. A random sample of 113 adults ages 18-24 showed that 27 had donated blood within the past year, while a random sample of 166 adults who were at least 25 years old had 48 people who had donated blood within the past year. At the 0.10 level of significance, test the claim that the proportion of blood donors is equal for these two age groups.
4. A librarian claims that the mean number of books read per month by community college students is less than 2.5 books. A random sample of 30 community college students had read a mean of 1.73 books with a standard deviation of 2.14 books. Test the librarian's claim at the 0.05 level of significance.
5. A reading group claims that Americans read more as they grow older. A random sample of 65 Americans age 60 or older read for a mean length of 63.8 minutes per day, with a population standard deviation of 15.5 minutes per day. A random sample of 88 Americans between the ages of 50 and 59 read for a mean length of 56.2 minutes per day, with a population standard deviation of 23.1 minutes per day. At the 0.01 level of significance, test the claim that the mean time spent reading per day by Americans age 60 and older is longer than the mean time spent reading per day by Americans between the ages of 50 and 59.
6. A car manufacturer advertises that a certain model has a variance in miles per gallon equal to 12.25. A car magazine wanted to check the advertisement and collected a random sample of 15 cars to test and found the variance in miles per gallon equal to 17.64. At the 0.1 level of significance, test the magazine's claim that the variance is different from 3.5 miles.
Conduct a hypothesis test for each problem, using the traditional method. Show the 5 steps and al...
3, Hypothesis testing for the mean (gis known) Find the P-value for a two-tailed hypothesis test with a standardized test statistic of z 1.64. Decide whether to reject Ho when the level of significance is α a. 0.10. b. Find the P-value for a right-tailed hypothesis test with a standardized test statistic of z 1.64. Decide whether to reject Ho when the level of significance is a0.10. Homeowners claim that the mean speed of automobiles traveling on their street is...
Please Show Work. Thank you. 7. Conduct a hypothesis test showing all of your steps. Females under the age of 51 years old are supposed to get, on average, 18 mg of iron daily. In a random sample of 44 women, their daily mean intake was 16.77 mg of iron with a standard deviation of 3.02 mg. An agency claims that women get less than the recommended daily iron intake. Test this claim with a 4% level of significance. a)...
For each of the problems below perform an hypothesis test. State the null and alternative hypothesis, the p-value and your conclusion in context of the problem. Perform each test at a .05 significance. 1. A manufacturer of a plasticised line used in home-assembly mobiles advertises that their product has an average tensile strength of 30 kilograms (this is a measure of how strong the product is). You took a sample of 144 sections of the line and tested them. The...
Conduct and Interpret a One-Mean Hypothesis Test Using the Critical Approach With an Unknown Standard Deviation Question According to a research study, college athletes slept 7.9 hours each night last year, on average. A random sample of 19 college athletes was surveyed and the mean amount of time per night each athlete slept was 8.2. This data has a sample standard deviation of0.8. (Assume that the scores are normally distributed.) Researchers conduct a one-mean hypothesis test at the 10% significance...
1. Xis a normally distributed random variable with a mean of 12 and a standard deviation of 3. Calculate the probability that x equals 19.62. 2. A simple random sample of 8 employees of a corporation provided the following information 25 32 26 54 22 23 Determine the point estimate for the average age of all employees. What is the point estimate for the standard deviation of the population? Determine a point estimate for the proportion of all employees who...
Show all work by hand. A statistics professor at an all-women's college determined that the standard deviation of women's heights is 2.5 inches. The professor claims that men's heights are more variable than women's heights. To test the claim, he randomly selected 41 male students from a nearby all-male college and found the standard deviation to be 2.9 inches. Use this sample data and a significance level of a 0.01 to test the professor's claim that the standard deviation of...
PLEASE INCLUDE GRAPH!!! and please answer correctly 3 2004 Hypothesis test for 1 mean Page 406-413 A fast food restaurant claims that the mean waiting time is greater than random sample of 50 customers revealed a sample mean waiting time of 2.0 the mean waiting time is greater than 3.2 minutes (original claim). A deviation of 0.486 minutes. revealed a sample mean waiting time of 2.8 minutes with a sample standard Test the restaurants claim at a a= 0.05 level...
Use the traditional method to test the given hypothesis. Assume that the population is normally distributed and that the sample has been randomly selected. A manufacturer uses a new production method to produce steel rods. A random sample of 37 steel rods resulted in lengths with a mean 6 and standard deviation of 4.7 cm. At the 0.10 significance level, test the claim that the new production method has mean 5.5 cm, which was the mean for the old method.
(5 points) Consider each of the scenarios below. For each statement, decide which statistical procedure is most appropriate. 1. Mr. Taylor's 4th grade class uses Skittles to learn about probability. They open several randomly selected bags of Skittles and sort and count the different colors and want to determine if Skittles are evenly distributed by color. 2. An insurance company selected a random sample of 500 clients under 18 years of age and found that 180 of them had had...
An employee group for a retailer claims that the mean time spent by employees on a personal phone call is less than 10 minutes per day. A random sample of 25 employees is taken and showed a mean of 9.2 minutes and a standard deviation of 2 minutes. Test the claim with a 5% significance level the time is less than 10 minutes.