When the treatment effect is small and you fail to reject the null when in actuality, there was a treatment effect, this is called a: Type II Error Type I Error Type III Error Type 0 Error
Q: What is a Null Hypothesis? What does the word “null” mean? How does the Null Hypothesis differ from…
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Q: Be able to determine the null hypothesis from a description of an experiment?
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When the treatment effect is small and you fail to reject the null when in actuality, there was a treatment effect, this is called a:
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Type II Error |
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Type I Error |
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Type III Error |
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Type 0 Error |
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- If a researcher rejects the null hypothesis when conducting a hypothesis test, it means that the sample data failed to provide sufficient evidence to conclude that the treatment had an effect. true or falseIn Clinical Trial Q, the sample of patients who had acute myelomonocytic leukemia, per statistical analysis, did not appear to have been affected by the investigational product. However, in reality, the treatment did have an effect. This is known as: Type I Error Type 0 Error Type III Error Type II ErrorMorgan City Fire Chief Sidney Pyro is concerned about the low efficiency scores that his firefighters receive at the state testing institute. Chief Pyro believes that these scores result because some firefighters are not in good physical condition. Pyro orders 75 randomly selected firefighters to participate in an hour of exercise per day. Another 200 firefighters have no required exercise. After 60 days, all firefighters are tested again by the state. Chief Pyro collects the data and performs a two-sample independent t-test by using SPSS to examine if there is a statistically significant difference between the treatment and control groups; the SPSS results are shown in the table below. Group Statistics Groups N Mean Std. Deviation Std. Error Mean Test Scores Treatment 75 74.5 31.4 3.6 Control 200 70.6 26.3 1.9 a. Formulate a null and research hypothesis: H0: H1: Collect all the necessary data: Mean score of the treatment group:…
- Morgan City Fire Chief Sidney Pyro is concerned about the low efficiency scores that his firefighters receive at the state testing institute. Chief Pyro believes that these scores result because some firefighters are not in good physical condition. Pyro orders 75 randomly selected firefighters to participate in an hour of exercise per day. Another 200 firefighters have no required exercise. After 60 days, all firefighters are tested again by the state. Chief Pyro collects the data and performs a two-sample independent t-test by using SPSS to examine if there is a statistically significant difference between the treatment and control groups; the SPSS results are shown in the table below. Groups N Mean Std. Deviation Std. Error Mean Test Scores Treatment 75 74.5 31.4 3.6 Control 200 70.6 26.3 1.9 Formulate a null and research hypothesis: H0: H1: Collect all the necessary data: Mean score of the treatment group: Mean score of the control group: Sample size of the…Based on a small sample, a significance test may not yield a statistically significant outcome even if the true value is considerably different from the null value. This outcome is also known as?An RA at the University of Baltimore has concluded that the difference between the mean GPA scores of Senior and junior is statistically significant, when in fact the null hypothesis of no difference is true. What type of error has he committed?
