side up and 18 landed with the buttered side down. Use a 0.05 significance level to test the claim that toast will land with the buttered side down 50% of the time. Use the P-value method. Use the normal distribution as an approximation to the binomial distribution. After that, supposing the intent of the experiment was to assess the claim that toast will land with the buttered side down more than 50% of the time, write a conclusion that addresses the intent of the experiment. Let p denote the population proportion of all buttered toast that will land with the buttered side down when dropped. Identify the null and alternative hypotheses to test the claim that buttered toast will land with the buttered side down 50% of the time. Ho p = H₁p 0.5 0.5 (Type integers or decimals. Do not round.) Identify the test statistic. z=-1.33 (Round to two decimal places as needed.) Identify the P-value. P-value= ☐ (Round to three decimal places as needed.)

A sample of 9 people were surveyed and asked how much money they wanted to spend on buying a new car with a mean of 30.55 and a standard deviation of 13.62 vs. how much they actually spent on buying a new car and the mean was 31.44 and a standard Deviation of 18.34. Test the claim that people spend more money than they say they want to at a 5% significance level. Assume everything is normally distributed.

On average, a banana will last 6.1 days from the time it is purchased in the store to the time it is too rotten to eat.  Is the mean time to spoil greater if the banana is hung from the ceiling? The data show results of an experiment with 13 bananas that are hung from the ceiling. Assume that that distribution of the population is normal. 7.4, 7.5, 7.9, 5.7, 5.9, 8.1, 4.8, 8.7, 6.8, 5.9, 8.2, 5.1, 5.1 What can be concluded at the the αα = 0.10 level of significance level of significance?  For this study, we should use    Correct The alternative hypothesis would be:       H1:H1:     Correct      Correct Correct   The test statistic    Correct =  (please show your answer to 3 decimal places.) Based on this, we should     Correct the null hypothesis. Thus, the final conclusion is that ...

The coach of a very popular men’s basketball team claims that the average distance the fans travel to the campus to watch a game is 35 miles. The team members feel otherwise. A sample of 16 fans who travel to games was randomly selected and yielded a mean of M= 36 miles and s= 5 miles. Test the coach’s claim at the 5% (.05) level of significance.    one-tailed or two-tailed test:  State the hypotheses: df= tα or t value for the critical region =  sM =    t (test statistic)= Decision:

A television show conducted an experiment to study what happens when buttered toast is dropped on the floor. When 43 buttered slices of toast were dropped, 23 of them landed with the buttered side up and 20 landed with the buttered side down. Use a 0.10 significance level to test the claim that toast will land with the buttered side down 50% of the time. Use the P-value method. Use the normal distribution as an approximation to the binomial distribution. After that, supposing the intent of the experiment was to assess the claim that toast will land with the buttered side down more than 50% of the time, write a conclusion that addresses the intent of the experiment. Let p denote the population proportion of all buttered toast that will land with the buttered side down when dropped. Identify the null and alternative hypotheses to test the claim that buttered toast will land with the buttered side down 50% of the time. Ho p = H₁ p 0.5 0.5 (Type integers or decimals. Do not round.)…

A study reported that finger rings increase the growth of bacteria on health-care workers’ hands. Research suggests that 31 percent of health-care workers who wear rings have bacteria on one or both hands. Suppose that independent random samples of 100 health-care workers wearing rings is selected. What is the standard deviation of the sampling distribution of the sample proportions of health-care workers having bacteria on one or both hands? A. 100 B. 0.0462 C. 0.69

In a random sample of males, it was found that 29 write with their left hands and 212 do not. In a random sample of females, it was found that 70 write with their left hands and 444 do not. Use a 0.01 significance level to test the claim that the rate of left-handedness among males is less than that among females. Complete parts (a) through (c) below.

A researcher wanted to determine if carpeted or uncarpeted rooms contain more bacteria. The table shows the results for the number of bacteria per cubic foot for both types of rooms. A normal probability plot and boxplot indicate that the data are approximately normally distributed with no outliers. Do carpeted rooms have more bacteria than uncarpeted rooms at the a = 0.05 level of significance? Full data set O Carpeted Uncarpeted 11.9 11.3 9.8 8.3 9.1 8 7.1 6,7 12.9 13.8 9.5 11.3 11.6 14.4 9.9 14.1 E Click the icon to view the Student t-distribution table. What are the null and alternative hypotheses? Họ: Hcarpet = Pno carpet versus H1: Hcarpet Pno carpet Calculate the test statistic, to- to = (Round to two decimal places as needed.)

To test the belief that sons are taller than their fathers, a student randomly selects 13 fathers who have adult male children. She records the height of both the father and son in inches and obtains the following data. Are sons taller than their fathers? Use the a = 0.025 level of significance. Note: A normal probability plot and boxplot of the data indicate that the differences are approximately normally distributed with no outliers. Click the icon to view the table of data. ... Which conditions must be met by the sample for this test? Select all that apply. D A. The sampling method results in an independent sample. - X O B. The sample size must be large. c. The sampling method results in a dependent sample. Table of height data YD. The sample size is no more than 5% of the population size. Height of Father, X, Height of O Son, Y LE. The differences are normally distributed or the sample size is large. 71.1 76.2 Let d, = X, - Y,. Write the hypotheses for the test. 68.8 72.3 67.9 70.3…

A researcher wanted to determine if carpeted or uncarpeted rooms contain more bacteria. The table shows the results for the number of bacteria per cubic foot for both types of rooms. A normal probability plot and boxplot indicate that the data are approximately normally distributed with no outliers. Do carpeted rooms have more bacteria than uncarpeted rooms at the α=0.01 level of​ significance?   Full data set      Carpeted   Uncarpeted 12.8 15.7 7 8.7 6.4 8 8.3 9.4 9.1 1.6 0.6 4.1 7.8 14.2   9.8 3   Use the t-table for reference.  What are the null and alternative​ hypotheses?