The assets (in billions of dollars) of the four wealthiest people in a particular country are 39, 28, 22, 13. Assume that samples of sizen=2 are randomly selected with replacement from this population of four values.

The human body is a complex, highly organized structure of cells that work together to accomplish the specific functions necessary for sustaining life. Each human has individual characteristics that uniquely define who they are, but there are characteristics about the human body that have much less variability. One of these is the measurement around the calf muscle's widest part. For this dataset, N = 507 individuals in their twenties and thirties who exercised several hours each week measured around the widest part of both calf muscles and the average maximum girth in centimeters was recorded. We will use this data to get better acquainted with the Empirical Rule. Empirical Rule 68% of data 95% of data 99.7% of data -30 -20 -1o +1o 20 +30 For data that can be reasonably assumed to follow a normal distribution with mean u and standard deviation a, the Empirical Rule can be used to get a sense of where the data values are located in the distribution with regards to the mean. Refer to…

AP Stats Free Res ponse - Period 6 Name Date Many people consider Fosco University every year for its large graduate programs (estimated over 7,500 students each year). Fos co University provides housing for 10% of the gradua te students on campus. The housing office thinks that the percentage of graduate students looking for campus housing may be more than 10%. The office decides to survey a random sa mple of graduate students, and 62 of the 481 respondents say that they are looking for housing on campus. (a) With the results of the survey, would you recommend that the Fosco U niversity consider increasing the amount of housing on campus for graduate students? Give the appropriate evidence/test to support your dlaim. Use a significance level of.05. (b) In addition to the 481 graduate students who completed the survey, an additional 19 students did not respond. If the 19 responded, would you change your recommendation? Explain and show work.

A laboratory research group did a microarray experiment five years ago with 10 subjects in the normal group, and 6 subjects in the diet group; one microarray per subject. They never published their results because they felt like their diet group was too small. Now they have more money and they want to get 4 diet animals, and run 4 new microarrays on those animals. They plan to add that data to their study so they can increase their statistical discovery power, and finally publish their results.   Although increasing the number of subjects should increase the statistical power of the study, give a reason why increasing the number of samples might NOT result in more significant results.

A,B AND C

Each year, more than 2 million people in the United States become infected with bacteria that are resistant to antibiotics. In particular, the Centers of Disease Control and Prevention have launched studies of drug-resistant gonorrhea.† Suppose that, of 189 cases tested in a certain state, 12 were found to be drug-resistant. Suppose also that, of 429 cases tested in another state, 8 were found to be drug-resistant. Do these data suggest a statistically significant difference between the proportions of drug-resistant cases in the two states? Use a 0.02 level of significance. (Let p1 = the population proportion of drug-resistant cases in the first state, and let p2 = the population proportion of drug resistant cases in the second state.) State the null and alternative hypotheses. (Enter != for ≠ as needed.) H0: ______ Ha: ______ Find the value of the test statistic. (Round your answer to two decimal places.) = What is the p-value? (Round your answer to four decimal places.) p-value =…

Before every​ flight, the pilot must verify that the total weight of the load is less than the maximum allowable load for the aircraft. The aircraft can carry 42 ​passengers, and a flight has fuel and baggage that allows for a total passenger load of 7,056 lb. The pilot sees that the plane is full and all passengers are men. The aircraft will be overloaded if the mean weight of the passengers is greater than 7,056 lb42=168 lb. What is the probability that the aircraft is​ overloaded? Should the pilot take any action to correct for an overloaded​ aircraft? Assume that weights of men are normally distributed with a mean of 178.3 lb and a standard deviation of 36.8.

A least squares line for a sample with 11 observations has an SSE = 192; calculate and s. Please show your work So i can understand how you arrived at the answer

A research study was conducted about gender differences in 'sexting'. The researcher believed that the proportion of girls involved in 'sexting' is different from the proportion of boys involved. The data collected in the spring of among a random sample of middle and high school students in a large school district in is summarized next: out of 380 females 43 sent 'sexts' and out of 410 males 64 sent 'sexts'. Is the proportion of girls sending sexts different from the proportion of boys 'sexting'? Choose the appropriate procedure. Procedure:         Assumptions: (select everything that applies) Population standard deviations are known Normal populations Sample sizes are both greater than 30 Population standard deviation are unknown but assumed equal Paired samples Population standard deviation are unknown Simple random samples The number of positive and negative responses are both greater than 10 for both samples Independent samples

A research team is interested in investigating the effectiveness of a new medication intended to reduce resting heart rate (beats per minute, BPM) in overweight patients. In order to test the medication, the researcher organizes a clinical trial with participants randomly assigned to receive either the new medication or a placebo. Suppose the following table represents the heart rates for a SRS from both groups. Data for the placebo group are {71, 71, 68, 67, 68, 69, 70, 70, 69, 72, 73} Data for the treatment group are {67, 66, 64, 64, 65, 64, 59, 63, 71, 64}   Sample standard deviation for the placebo group is: 1.834 Sample standard deviation for the treatment group is: 3.057   What is the confidence interval? (alpha=0.05) Group of answer choices (0.969492 to 9.266508) (2.31312 to 7.92288) (2.598132 to 7.637868) (-1.796934 to 12.032934)