Part I. Matching (4 Points Each) Sample Size Sampling (Random) Emor Standard Err

Question

Part I. Matching (4 Points Each) Sample Size Sampling (Random) Emor Standard Error of the Mean Standardized Normal Distribution -Estimator Confidence Interval Student's t Distribution -Degrees of Freedom z-score Alpha A. A Single Sample Z-test for means represents the number of standard deviations a particular value is from the mean. B. The gap between a statistic and its corresponding parameter is known as C. The resulting distribution when a normal random variable is transformed into values representing the number of standard deviations a value in the distribution is from the distribution's mean An estimate of a parameter in the form of a range, where the lower bound is the smallest expected value of the parameter and the upper bound is the largest D. E. A statistic derived from a sample to infer the value of a population parameter F. The probability of making a Type I error is also called G. It becomes progressively easier to declare statistical significance as we increase H. The population standard error of the mean (o) is necessary for conducting 1· The standard deviation of the distribution of sample means, from samples of size n. J. A parameter based on the sample size that tells how many observations are used to is used with several distributions, most commonly the Student's t-distribution. K. A symmetric distribution similar to the Standard Normal Distribution, that is used in calculate s adjusting for the number of intermediate estimates used in the calculation, and inferential situations when the population standard deviation is not known. L. The null and alternative hypotheses must be

Explanation / Answer

a) z score

b) sampling error

c) standardized normal distrbution

Dconfidence interval

E)estmator

F)alpha

G)sample size

H) single sample z test for means

I) std error of mean

J)degree of freedom

K)student t distirbution

L) complimentary

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