QUESTION 22 A cereal company claims that the mean weight of Brand A cereals is less than 16 oz. The p-value is found to be 0.014. If the test had been two-tailed, the p-value would have been: 0.014. 0.028. 0.007. 0.052.
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- A researcher thinks that how often someone reports visiting a science museum in a year is different for people with children and people with at least one child. They get the following output: Group Statistics Std. Std. Error Respondent's children Visits to No children N 797 Mean Deviation Mean 0.27 1.077 0.038 science museum 1 or more children 2062 1.65 4.997 0.969 Independent Samples Test Levene's Test for Equality of Variances t-test for Equality of Means F Visits to Equal 4.492 Sig. 0.034 -1.231 t df 2857 Sig. (2-tailed) 0.218 science museum variances assumed Equal -1.979 2067.380 0.048 variances not assumed 1. What is the research hypothesis? Is this one-tailed or two-tailed? (note how the problem is worded to indicate if it is one or two tailed)In a 1868 paper, German physician Carl Wunderlich reported based on over a million body temperature readings that the mean body temperature for healthy adults is 98.6° F. However, it is now commonly believed that the mean body temperature of a healthy adult is less than what was reported in that paper. To test this hypothesis a researcher measures the following body temperatures from a random sample of healthy adults. 98.2, 98.6, 98.5, 98.6, 97.6, 98.2, 98.0 (a) Find the value of the test statistic. (b) Find the 10% critical value.This is part A: population mean= 30.23 population standard deviation 13.84 sample size= 25 sample mean 33.17 How likely were we to draw a sample from part A, given the true average weight gain in the population was in fact 30.23?
- Suppose that for a test of proportion we have :p=0.5 and . The test statistic z=1.53 and the p-value is reported as P-value = 0.063. Find the error in the reasoning. This is a right-tailed test so the P-value should be 0.9370. This is a two-tailed test so the P-value should be 0.126. The P-value should have been calculated using the studentâ s t-distribution. There is no error in the reasoning. None of these.A researcher measures the relationship between hours worked by employed students and the number of units taken during the first semester of college for each individual in a group of 25 community college students. For this study: a. If we calculate the average hours worked by these community college students, the average would be an example of a ________ statistic b. Is a sample or population being measured here? c. What kind of a research study is this? d. N/n = e. What level of measurement is the number of units taken? Step 2 – check your work! Was your answer correct? If not, please make any correction here: Step 3 - if your answer was incorrect, please write out what was wrong (skip this if you were correct) show working for eachA variable is normally distributed with mean 32 and standard deviation 12. Use the Cumulative Z-Score Table to answer the following questions. Write your answers in decimal form using 4 decimal places. a) Find the area under the normal curve to the left of the data value 16.4. b) Find the area under the normal curve to the left of the data value 52.4. c) Find the area under the normal curve to the right of the data value 27.2. d) Find the area under the normal curve to the right of the date value 37.4, e) Find the area under the normal curve between the data values 37.4 and 52.4.
- A standardized memory test has a mean of u = 10p and a standard deviation of ó = 10. Answer the following questions: A. What proportion of people would score below 88 on the memory test? B. What is the percentile rank for someone who scored a 116 on the memory test? C. What are the scores that separate the middle 30% (15% each side of the mean) D. What percent of individuals would score between 86 and 109?The next five questions refer to the following scenario: • sample mean T = 10 • sample size n = 100 • population standard deviation O = 4Consider the data from the Anthropology 105 class. The mean for women is 64.33 in and the standard deviation is 2.64 in. The average height of men in the US is approximately 5ft 10in. What proportion of women represented here are shorter than the average man?
- A variable is normally distributed with mean 34 and standard deviation 11. Use the Cumulative Z-Score Table to answer the following questions. Write your answers in decimal form using 4 decimal places. a) Find the area under the normal curve to the left of the data value 63.7. b) Find the area under the normal curve to the left of the data value 2.1. c) Find the area under the normal curve to the right of the data value 30.7. d) Find the area under the normal curve to the right of the date value 29.05. e) Find the area under the normal curve between the data values 2.1 and 29.05.In 1908, William Gosset published the article "The probable Error of a Mean" under the pseudonym of "Student". He included the data listed below for two different types of corn seed that were used on ad jacent plots of land. The listed values are the yields of head corn in pounds per acre. Use a 0.10 significance level to test the claim that the mean difference in yield between the two types of seed is 0. Regular 1903 1935 1910 2496 2108 1980 2060 1444 1612 1316 1511 Kiln dried 2009 1915 2011 2463 2180 1925 2122 1482 1542 1443 1535 a. Define the parameter A. mu Subscript d Baseline equals Mean of (Regular yield - Kiln dried yield) B. mu Subscript d Baseline equals Mean of the Regular yield C. mu Subscript d Baseline equals Mean of the Kiln dried yield D. mu equals Mean yield b. State the null and alternative hypotheses…2. A normal level glucose control (80 – 105 mg/dL) was tested at the beginning of the morning shift at a local hospital. The reagent used was of the same lot number, the instrument operator was the same, and all conditions were controlled to ensure the results would not be affected by environment or by any condition that could be controlled. The following values were recorded in 12 consecutive days. Calculate the Standard error of the mean (SEM) Days Glucose levels (mg/dL) 92 1 93 92 4 90 89 6. 87 7 88 8. 89 9. 88 10 92 11 88 12 91