1. A population estimate would involve inferential statistics.
True
False
2. "Participants" and "sample" mean basically the same thing.
True
False
3. A correlational study would be required if you were working with a very small sample.
True
False
1.population estimate would involve inferential statistics.
True
2.
Participants" and "sample" mean basically the same thing.
False.
Participants take part in a study. Sample comprises of
participants
3. A correlational study would be required if you were working with a very small sample.
False
These 3 answers are trivial...
1. A population estimate would involve inferential statistics. True False 2. "Participants" and "sample" mean basically...
True/False Indicate whether the statement is true or false. 10. Inferential statistics allow us to make genetalizations about populations based on the results obtained from studying samples. 11. A recent report concluded that participants assigned to a regular exercise program had lower depression scores than participants who were not allowed to exercise regularly. For this study, depression is the dependent variable. True 12. Men's shirt sizes are classified as small, medium, large, and extra large. This is an example of...
True or false? a) A sample statistics WILL change from sample to sample. b)Inferential statistics involves using a population to draw a conclusion about a corresponding sample.
Please explain following: 1. Statistics is to investigate some characters of a population by using a sample from it. a. True b. False 2. A sample usually reflects the population perfectly. a. True b. False 3. Statistics and probability theory refer to a same subject of study. a. True b. False 4. Probability theory is _____________________. a. a study of data processing b. a study of chances c. a field of statistics d. another name...
1. Select all true statements about sample mean and sample median. A) When the population distribution is skewed, sample mean is biased but sample median is an unbiased estimator of population mean. B) When the population distribution is symmetric, both mean and sample median are unbiased estimators of population mean. C) Sampling distribution of sample mean has a smaller standard error than sample median when population distribution is normal. D) Both mean and median are unbiased estimators of population mean...
True or False. The mean of a sample will never be exactly the same as the mean of the population from which the sample was taken.
You want to obtain a sample to estimate a population mean. Based on previous evidence, you believe the population standard deviation is approximately σ=26.9σ=26.9. You would like to be 95% confident that your estimate is within 1 of the true population mean. How large of a sample size is required?
In order to obtain a sample to estimate a population mean. Based on previous evidence, you believe the population standard deviation is approximately σ=54.7. You would like to be 99% confident that your estimate is within 3 of the true population mean. How large of a sample size is required? I did: 99%= 2.575 for z-score so, ((2.575)(54.7)/.03) ^2 But I don't seem to get the correct answer. Can someone show me how to do this step by step, thank...
You want to obtain a sample to estimate a population mean. Based on previous evidence, you believe the population standard deviation is approximately o = 21.3. You would like to be 95% confident that your estimate is within 5 of the true population mean. How large of a sample size is required?
You want to obtain a sample to estimate a population mean. Based on previous evidence, you believe the population standard deviation is approximately σ=39.2. You would like to be 98% confident that your estimate is within 5 of the true population mean. How large of a sample size is required? n =