In: Statistics and Probability
A Type 1 error is defined as:
b.) The probability for which a Type 1 error may
occur in a hypothesis test is referred to as:
c.) A researcher conducts a hypothesis test to
evaluate the effect of a treatment. The hypothesis test produces a
z-score of z = -2.40. Assuming that the researcher is using a
two-tailed test, what is the correct statistical decision?
d.) A hypothesis test produces a t statistic of t
= 2.30. If the researcher is using a two-tailed test with αα = 0.05
How large does the sample size have to be to
reject the null hypothesis?
e.) Which of the following situations is the
most ideal for a researcher to perform a
hypothesis test using the Standard Normal distribution as his/her
Sampling Distribution.
A) Type I error is defined as:
Rejecting a True null hypothesis.
B) The probability for which a Type 1 error may occur in a hypothestical test ts referred to as:
Level of significance.
C) test statistic, z= -2.40
For = 0.05, crtical value= +- 1.96; That means that Reject the null hypothesis as test statistic lie in the critical region
For = 0.01, Critical value= +-2.5758, That means that Fail to reject the null hypothesis as the test statistic doe not lie in the critical region
Answer- The researcher should reject the null hypothesis with =0.05 but not with =0.01
D) test statistic, t= 2.30
to reject the null hypothesis , critical value should be less than the test statistic
And for 0.025 ( ie. 0.05/2 as this is a two tail test) the crtical value just less than 2.30 is 2.262 corresponding to 9 degree of freedom
Now, Degree of freedom = n-1
S0. n= 10
Answer- at least n= 10
E) is known; the population is normal ;sample size is 40.