In statistical analysis, the burden of proof lies traditionally with:
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- Give an example of estimators (or estimates) that are (a) unbiased and efficient, (b) unbiased and inefficient, and (c) biased and inefficient.Ann and Sam are both testing the hypothesis that 40% of plain M&M are orange. Ann draws a sample of 150 plain M&M and finds that 45% of her sample is orange. Ann's test statistic is?create a hypothesis to test Depression among school age children 6yrs.-13yrs.old during the covid-19 quarantine in california. With age, ethnicity, location, and gender as variables. State variables as specifically as possible 2. List the Hypotheses as learned in this class 3.Type of statistical analysis that would be used and explain thoroughly why.
- Read and answer the following problems on hypothesis testing concerning proportions. (See the attached photo for the guidelines of format in each item) 1. The dean of the College of Education of RAPA University has a strong belief that the graduates of the university's teacher education programs will have a better performance this year in the Licensure Examination for Teachers given by the Professional Regulation Commission. He believes that the proportion of successful examinees this year is greater than the 0.75 proportion obtained last year. What are the appropriate null and alternative hypotheses to test this belief? 2. Previous pieces of evidence show that majority of the Filipinos are happy and contented with the policies and programs of the government. This time, a random sample of 100 Filipinos were selected and were asked if they were happy and contented with the policies and programs of the government. It was found that 65 out of 100 said that they are happy and…7. In the field of statistics, give an example of: a. A discrete variable. b. A continuous variable. c. A qualitative variable.. A producer of high quality teas wants to be sure they are filling tea bags with an average weight of 5.5 grams. Any underfilling or overfilling is undesirable. The correct set of hypotheses is
- Provide all necessary solutions to arrive at the needed answer for each problem. Do not forget to provide proper interpretations for resulting measures and/or tests conducted.An article reports that blue eyed people earn less than brown eyed people, with these numbers: average blue-eyed salary 35,000, average brown-eyed salary $37,000, p-value 0.45. Based on that reported p-value, and using the common definition of statistical significance, "which is the case? A. The results are nowhere near to being statistically significant. B. The results are almost but not quite statistically significant. C. The results are just barely statistically significant. D. The results are strongly statistically significant.A social worker notes that in a population of psychiatric inpatients the ethnic mix seems out of balance with what she has understood to be the ratios in the general population. Respond to the prompts below to show how she might determine whether the inpatient ethnic mix varies from the mix in the general population. Write an example of how the null and alternative hypotheses for this test could be stated. What would the researcher need to know in order to calculate the appropriate test statistic? I.e., what values need to be known or calculated in order to complete the calculation of the test statistic?
- What is the base rate(or prevalence in medical literature) and sensitivity(the percentage of individuals with a disease who are correctly classified as having the disease?)It's important to understand that hypothesis testing is just how statisticians (by "statisticians" I mean people who are working with data, e.g. analysts, auditors, economists, whoever) answer quanitative questions. We intuitively know that not much is truly certain, and that it's really hard (if not impossible) to collect data on everything we are curious about. So we use samples and try to extrapolate to a larger population. For this discussion, I would like each of you to come up with your own interesting hypothesis test. So, you will do the following: 1) Explain the context or story for which you have a problem stats might be able to help with. 2) Come up with the null and alternative hypotheses. This can be in words, or numbers, or a combination of both (I'll give an example below). 3) Explain where/how you might collect data to reach a conclusion for the test. 4) (RESPONSE) When you respond to someone else's post, I want you to critique their test and data. If you can, suggest a…Solve the following problems about Risks and Odds. In numbers 1-5, use the data in the table below on data about Pfizer, Inc. The table describes results from a clinical trial of the drug Viagra. Some subjects were treated with Viagra while others were given a placebo; then headache events were recorded. Headache No Headache Viagra Treatment 117 617 Placebo 29 696 1. Is the study retrospective or prospective? Type R if retrospective or Pif prospective. 2. Solve P(headache | Viagra Treatment). Round off to 3 decimal places. 3. Solve P(headache | placebo). Round off to 3 decimal places. 4. Find the number of Viagra users that would need to stop using Viagra in order to prevent a single headache. Round off to the nearest whole number. 5. Find the relative risk of a headache for those in the treatment group compared to those in the placebo group. Round off to 2 decimal places.