6.0 6.1 5.9 5.6 5.6 5.4 5.6 5.4 5.4 4.8 4.9 5.0 Arkansas 5.6 5.6 5.4 5.5 5.3 5.4 5.1 4.5 4.9 4.0 1.5 3.7 California 7.7 7.6 7.7 7.5 7.3 6.9 6.9 7.1 6.9 5.8 6.6 5.6 Texas LO

You may need to use the appropriate appendix table or technology to answer this question. According to the Vivino website, suppose the mean price for a bottle of red wine that scores 4.0 or higher on the Vivino Rating System is $32.48. A New England-based lifestyle magazine wants to determine if red wines of the same quality are less expensive in Providence, and it has collected prices for 65 randomly selected red wines of similar quality from wine stores throughout Providence. The mean and standard deviation for this sample are $30.15 and $12, respectively. (a) Develop appropriate hypotheses for a test to determine whether the sample data support the conclusion that the mean price in Providence for a bottle of red wine that scores 4.0 or higher on the Vivino Rating System is less than the population mean of $32.48. (Enter != for ≠ as needed.) H0:         Ha:         (b) Using the sample from the 65 bottles, what is the test statistic? (Round your answer to three decimal…

A governmental agency computed the proportion of violent crimes in the United States in a particular year falling into each of four olo categories. A simple random sample of 550 violent crimes committed in California during that year were categorized in the same way. The following table presents the results. U.S. California Category Proportion Frequency Murder 0.012 Forcible Rape 0.058 20 Robbery 0.360 207 Aggravated Assault 0.570 318 Send data to Excel Can you conclude that the proportions of crimes in the various categories in California differ from those in the United States as a whole? Use the 0.01 level of significance and the P-value method with the TI-84 Plus calculator. Part: 0 / 4 Part 1 of 4 (a) State the null and alternate hypotheses. Save For Later Submit Assignment Check Answer Skip Part O 2021 McGraw-Hill Education. All Rights Reserved. Terms of Use Privacy (? 5/2 Search insert 山园

please provide all values listed.

The IQ scores for a random sample of subjects with medium lead levels in their blood and another random sample of subjects with high lead levels in their blood are given below. Use a 0.05 significance level to test the claim that subjects with medium lead levels have full IQ scores with a higher median that the median full IQ score for subjects with high lead levels. Does lead level appear to affect full IQ scores? Click the icon to view the data table. First define the null and alternative hypotheses. Ho: H₁: Data Table Let the medium lead level be sample 1. Medium Lead High Lead Level Level 66 98 64 87 63 HR22CTCTETUE 2 13 100 83 84 84 70 73 70 78 91 61 72 88 73 76 63 66 61 64 61 66 92 76 107 66 X

The accompanying table gives amounts of arsenic in samples of brown rice from three different states. The amounts are in micrograms of arsenic and all samples have the same serving size. The data are from the Food and Drug Administration. Use a 0.05 significance level to test the claim that the three samples are from populations with the same mean. Do the amounts of arsenic appear to be different in the different states? Given that the amounts of arsenic in the samples from Texas have the highest mean, can we conclude that brown rice from Texas poses the greatest health problem? Click the icon to view the data. Arsenic Amounts Arkansas California Texas Determine the test statistic. 4.81 4.91 5.02 5.44 5.44 5.42 5.63 5.61 5.63 5.86 5.96 6.06 1.45 3.66 4.04 4.49 4.93 5.08 5.29 5.43 5.42 5.46 5.58 5.55 5.57 5.78 6.64 6.93 6.89 6.85 7.09 7.30 7.49 7.55 7.71 7.72 The test statistic is (Round to two decimal places as needed.) Print Done

The sample data here is the cholesterol levels for 10 men diagnosed with high cholesterol. The first row represents levels from 10 men who did not use the drug and the second row from 10 different men who did use the drug. If we want to test the claim that the mean level for all men who use the drug is less than the mean for all men who do not use it, what is the appropriate alternative hypothesis?    The mean cholesterol level of males who take the medicine is higher than the mean cholesterol levels of men who do not take it.       There is a significant difference between males who use the medicine and men who do not use the drug in terms of mean cholesterol levels.       The mean cholesterol level of males who take the medicine is lower than the mean cholesterol levels of men who do not take it.       There is no significant difference between males who use the medicine and men who do not use the drug in terms of mean cholesterol levels.

A study was undertaken to see how accurate food labeling for calories on food that is considered reduced calorie. The group measured the amount of calories for each item of food and then found the percent difference between the measured and labeled amount of calories. The group also looked at food that was nationally advertised, regionally distributed, or locally prepared. Do the data indicate that at least one of the mean percent differences between the three groups is different from the others? The data summarized in the table below. National 3.15 Regional 36.75 Local Mean Standard Deviation Source Between Within 151 Total Fill in the hypotheses below: Ho: All the means are equal. Ha: At least one mean is different from the others. 7.4359 14.1558 SS 70.0204 Part 2 of 3 Complete the following ANOVA summary table (a 0.10). Round your answers to three decimal places, if necessary, and round any interim calculations to four decimal places. Sample Size df 20 12 8 MS - F P-value

When selecting measures of association and the two variables of interest are measured at different levels of measurement, social scientists generally choose which measure?

Health insurer benefits vary by the size of the company. The sample data below show the number of companies providing health insurance for small, medium,  and large companies. For the purpose of this study,  small companies are companies that have fewer than 100 employees.  Medium-sized companies have 100 to 999 employees,  and largevcompanies have 1000 or more employees.  The questionnaire sent to 225 employees asked whether or not the employee had health insurance and then asked the employee to indicate the size of the company.                       Health Insurance  Size of company  Yes     No    Total Small.                      35       15       50 Medium                   67        8        75 Large                        87     13       100 A. Conduct a test of independence to determine whether health insurance coverage is independent of the size of the company.  What is the p-value? Compute the value of the x2 test statistic (to 2 decimal)