Are avid readers more likely to wear glasses than those who read less frequently? 289 men in Ohio were selected at random and characterized as to whether they wore glasses and whether the amount of reading they did was above average, average, or below average. The results are presented in the following table: Amount of reading Yes No Above average 42 22 Average 46 76 Below averages 35 68 What is the proportion of men in the sample who wear glasses? What is the proportion of all above average readers who wear glasses?

Snoop Incorporated is a firm that does market surveys. The Rollum Sound Company hired Snoop to study the age distribution of people who stream music. To check the Snoop report, Rollum used a random sample of 519 customers and obtained the following data. Customer Age Percent of Customers from Snoop Report 12% Number of Customers from (yrs) Sample Less than 14 98 14 - 18 19 - 23 24 - 28 29 - 33 29% 132 49 39 11% 10% 14% 69 More than 33 24% 132 n USE SALT Using a 1% level of significance, test the claim that the distribution of customer ages in the Snoop report agrees with that of the sample report. (a) What is the level of significance? State the null and alternate hypotheses. O Ho: The distributions are different. H,: The distributions are different. O Họ: The distributions are the same. H,: The distributions are the same. O Ho: The distributions are the same. H,: The distributions are different, O Ho: The distributions are different. H: The distributions are the same. (b) Find the…

A professor wants to know which type of instructional mode students had more satisfaction.  The professor randomly selected n = 5 students from each of the following types of classes: online only, hybrid, and face-to face only.  Student were given a satisfaction survey.  Are their differences in student satisfaction among the different instructional modes.  The data are below: Online Hybrid Face-to-Face 3 3 4 3 3 1 3 1 3 2 2 2 2 1 3 Which of the following is the appropriate statistical conclusion?     According to the ANOVA, there was an overall significant difference among the three instructional modes. However, there was not a significant differcene between any two instructional modes using the Tukey's post hoc test.     According to the ANOVA, there was an overall significant difference among the three instructional modes. There was were significant differcene between all two pairs of instructional modes using the Tukey's post hoc test.     According…

Suppose you are representing the employees at a large corporation during contract negotiations. You have a list of the salaries of all the employees at the corporation (The salaries include the many lower level employees and the few high paid management employees) and you plan to find a measure of center (e.g. mean, median, or mode).a. Which measure or center would you use to represent the employees in an effort to support your claim that the average salary of lower level employees is much lower than the national average (for lower level employees) and thus should be increased?  Mean Mode Median   b. Why is this the better choice?

The police lieutenant in charge of the traffic division has reviewed the number of traffic citations issued per day by each of the 10 police officers in his division. The data were: 13, 21, 12, 34, 31, 13, 22, 26, 25, and 23. What is the mean number of citations issued per day?   a. 13 b. 22,5 c. 22 d. 13,5

Suppose a random sample of 880 athletes from the college are asked what their major is. The table below shows the results of the survey. Observed Frequencies of Majors from the Sample Outcome Observed Frequency Math/Science 234 Arts & Humanities 240 Business & Economics 132 Other 274 The distribution of majors at the college is shown in the second column of the table below.   Fill in the expected frequencies.  (Round to the nearest whole number). Frequencies of Majors at the College Outcome Expected Percent Expected Frequency Math/Science 31   Arts & Humanities 19   Business & Economics 30   Other 20

If there are six groups being compared, how many mean comparisons will there be?

Health insurance benefits vary by the size of the company (the Henry J. Kaiser Family Foundation website, June 23, 2016). The sample data below show the number of companies providing health insurance for small, medium, and large companies. For the purposes of this study, small companies are companies that have fewer than 100 employees. Medium-sized companies have 100  to 999  employees, and large companies have 1000  or more employees. The questionnaire sent to 225  employees asked whether or not the employee had health insurance and then asked the employees to indicate the size of the company.   Health Insurance   Size of Company Yes No Total     Small 33 17 50     Medium 67 8 75     Large 89 11 100   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 decimals)  A newspaper article indicated…

A survey given to a sample of college students con- tained questions about the following variables. For each variable, identify the kind of graph that should be used to display the distribution of scores (histogram, polygon, or bar graph) Number of brothers and sisters Birth-order position among siblings (oldest = 1st) Gender (male/female) Favorite television show during the previous yea

Suppose a random sample of 968 athletes from the college are asked what their major is. The table below shows the results of the survey. Observed Frequencies of Majors from the Sample Observed Frequency Outcome Math/Science 225 Arts & Humanities 247 Business & Economics 251 Other 245 The distribution of majors at the college is shown in the second column of the table below. Fill in the expected frequencies. (Round to the nearest whole number). Frequencies of Majors at the College Expected Percent Outcome Expected Frequency Math/Science 20 Arts & 25 Humanities Business & 25 Economics Other 30