By definition,a 'fair' coin has a probability of heads of p = 1/2.The standard deviation (SD) associated with a single toss is sqrt( p*(1-p) ).if a fair coin is tossed n=16 times, what is the standard error (SE) for the proportion of times a heads occurs?

1/2

1/16

1/8

None of the above

If a continuous variable (e.g., BMI) isnormally distributed, what percent of data is expected to occurbetween plus or minus 1 standard deviation from the mean?

99.7%

2.5%

95%

68%

Given that a population of scores is normally distributed with a mean of 100 and a standard deviation of 8, determine the Z score of X = 112.

+1.5

-1.5

99.5

12

The standard error of the mean is best defined as the

sum of squares of a sample divided by the appropriate degrees of freedom.

error that occurs when a mean falls in the critical region of a hypothesis test.

z score of a mean.

standard deviation of the sampling distribution of Xbar (sample mean).

When conducting a hypothesis test, Ha symbolizes the

research hypothesis

null hypothesis

power

sample mean

Use the information provided here to answer the following questions. H0 : <= 60, Ha : > 60, n = 36, Xbar = 58. Which of the following best characterizes this test?

The information provided characterizes a one sample, one-tailed (i.e.,one-sided)t test.

The information provided characterizes a one sample, one-tailed proportion test.

The information provided characterizes a 95% confidence interval for the mean.

The information provided characterizes a one sample, two-tailed t test.

Use the information provided here to answer the following questions. H0 : <= 60, Ha : > 60, n = 36, Xbar = 58.Assuming the conventional type 1 error (alpha), which of the following would be the correct decision to make based on the information?

p = 0.274, p > 0.05 and H0 is not rejected.

p = 0.274, p < 0.05 and H0 is rejected.

p = 0.274, p < 0.05 and Ha is rejected.

p = 0.274, p > 0.05 and Ha is not rejected.

As the sample size (n)increases,the standard error of the sampling distribution for the summary statistic (e.g., mean) of interest should

Decrease.

Increase.

Stay the same.

Not enough information.

Researchers A and B separately took samples from the same population of epilepsy patients, each with the same sample size. Researcher A calculated a mean seizure rate of 4.1 per week, with 95% confidence interval of (0.1, 8.1). Researcher B calculated a mean seizure rate of 4.2 per week, with 95% confidence interval of (0.8, 7.6). These results indicate that Researcher A's study assessed seizure rate with a greater precision of estimation

True

False

Confidence intervals are used to estimate

standard errors.

sampling distributions.

sample statistics.

population parameters.