1. If alpha is changed from .05 to .01, it is easier or harder to make a Type 1 error? 2.If alpha is changed from .05 to .01, it is easier or harder to make a Type 2 error? 3.If alpha is changed from .01 to .05, it is easier or harder to make a Type 2 error? 4.If alpha is changed from .01 to .05, it is easier or harder to make a Type 1 error?
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- F1.4 question 3 on paper pleaseThe accompanying table pertains to scheduled commercial carriers for a certain country. The third year was an anomaly. If the anomalous numbers are removed from the data for the third year (4 of the 7 fatal accidents and 261 of the 531 fatalities were anomalous), which of the three measures for fatalities change and what are their new values for each of them? Click the icon to view the commercial carrier data for the country. ... Select the correct choice below and, if necessary, fill in the answer box to complete your choice. (Simplify your answer. Type an integer or a decimal. Do not round.) OA. The new median is The mean and mode remain the same. The median and mode remain the same. OB. The new mean is OC. The new mode is D. The mean, the median, and the mode all remain the same. The mean and the median remain the same.Can someone with E please? Thank you.
- Foot temperatures: Foot ulcers are a common problem for people with diabetes. Higher skin temperatures on the foot indicate an increased risk of ulcers. In a study performed at the Colorado School of Mines, skin temperatures on both feet were measured, in degrees Fahrenheit, for 8 diabetic patients. The results are presented in the following table. Use a TI-84 calculator to answer the following. Left Foot: 78 86 60 76 88 85 75 88 Right Foot 78 85 80 80 89 85 80 86 If the left foot temperatures of two patients differ by 3 degrees, by how much would you predict their right foot temperatures to differ? Round the answer to three decimal places.Hw.137.A certain affects virus 0.4% of the population (in a population of 100,000 people, 400 will be infected with the virus). A test used to detect the virus in a person is positive 87% of the time if the person has the virus (true positive) and it is positive 14% of the time if the person does not have the virus (false positive). Fill in the remainder of the following table and use it to answer the questions below. Infected Not Infected Total Positive Test Negative Test Total 400 99,600 100,000 Round all percents to the nearest tenth of a percent as needed. a) Examine the "Positive Test" row of the table. If a person tests positive for the virus, what is the probability that the person is really infected. (Note: in medical terminology, this probability measures the "positive predictive value" of the test) b) If a person tests negative for the virus, what is the probability that the person really is not infected. (This is called the "negative predictive value")
- A certain affects virus 0.4% of the population (in a population of 100,000 people, 400 will be infected with the virus). A test used to detect the virus in a person is positive 87% of the time if the person has the virus (true positive) and it is positive 14% of the time if the person does not have the virus (false positive). Fill in the remainder of the following table and use it to answer the questions below. Infected Not Infected Total Positive Test Negative Test Total 400 99,600 100,000A certain virus affects 0.5% of the population. A test used to detect the virus in a person is positive 90% of the time if the person has the virus (true positive) and 15% of the time if the person does not have the virus (false positive). Fill out the remainder of the following table and use it to answer the two questions below based on a total sample of 100,000 people. Virus No Virus Total Positive Test Negative Test Total 100,000 a) Find the probability that a person has the virus given that they have tested positive. Round your answer to the nearest hundredth of a percent and do not include a percent sign. % b) Find the probability that a person does not have the virus given that they test negative. Round your answer to the nearest hundredth of a percent and do not include a percent sign.Foot temperatures: Foot ulcers are a common problem for people with diabetes. Higher skin temperatures on the foot indicate an increased risk of ulcers. In a study performed at the Colorado School of Mines, skin temperatures on both feet were measured, in degrees Fahrenheit, for 8 diabetic patients. The results are presented in the following table. Use a TI-84 Plus calculator to answer the following. Left Foot Right Foot 89 86 89 87 78 78 80 81 87 82 86 85 76 80 88 89 Send data to Excel Part: 0 / 4 Part 1 of 4 (a) Construct a scatterplot of the right foot temperature (y) versus the left foot temperature (x).
- Last year, 58% of butterflies in NC were monarchs. We hypothesize that the proportion changed this year (Hint: I said "changed", not greater or less than! Also, the word proportion is a hint on which test to use in your calculator). We do a study of 250 butterflies and 170 were monarchs. Use an alpha = 0.05 Find the p-value. Write it in standard form or as an exponent.C. 0.4638. O d. 0.1587 O e. Cannot be determinedFoot temperatures: Foot ulcers are a common problem for people with diabetes. Higher skin temperatures on the foot indicate an increased risk of ulcers. In a study performed at the Colorado School of Mines, skin temperatures on both feet were measured, in degrees Fahrenheit, for 8 diabetic patients. The results are presented in the following table. Use a TI-84 Plus calculator to answer the following. Left Foot Right Foot 80 80 85 85 75 80 88 86 89 87 87 82 78 78 88 89 Compute the correlation coefficient between the temperatures of the left and right feet. Round the answer to at least three decimal places.