A standard normal distribution has a mean of ________ and standard deviation of
________. - ANSWERzero, one
what is the central limit theorem? - ANSWERthe sampling distribution of any statistic
will be normal or nearly normal, if the sample size is large enough
Type 1 Error - ANSWERfalse positive
Type II Error - ANSWERfalse negative
The area under the normal curve between z = 0 and z = 1 is ________ the area
under the normal curve between z = 1 and z = 2. - ANSWERgreater than
DF = - ANSWERn - 1
P(z<2.13)= - ANSWER0.9834
P(z>1.5)= - ANSWER0.0668
P(-1<z<1)= - ANSWER0.6826
________ is rejecting H0 when H0 is true. - ANSWERa type 1 error
When the population is normally distributed, population standard deviation σ is
unknown, and the sample size is n = 15, the confidence interval for the population
mean μ is based on ___________
◦ the z (normal) distribution.
◦ the binomial distribution.
◦ the Poisson distribution.
◦ the t distribution. - ANSWERthe t distribution
When the population is normally distributed, population standard deviation σ is
known, and the sample size is n = 50, the confidence interval for the population
mean μ is based on ___________
◦ the z (normal) distribution.
◦ the binomial distribution.
◦ the Poisson distribution.
◦ the t distribution. - ANSWERthe z (normal) distribution
Which of the following statements is not a property of the normal probability
distribution?
•A) The normal distribution is symmetric.