Question

The alternate hypothesis is a statement that the value of a population parameter (such as proportion, mean, or standard devia
The area under the normal distribution curve represents its probability and the total area under the curve will always be one
The normal distribution is a continuous probability distribution that is symmetrical on both sides of the mean, so the right
A function that represents a discrete probability distribution is called a probability density function.* True O False The un
The null hypothesis is never rejected if the P-value is very small, such as 0.05 or less. * True False Student Name * Your an
The significance level is the probability that the test statistic will fall in the critical region when the null hypothesis i
0 0
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Answer #1

P1: False (True statement is: Null hypothesis is a statement that the value of a population parameter is equal to some claimed value and alternative hypothesis is reject the null hypothesis).

P2: False (Because uniform probability distribution is applicable to the scenarios where the set of possible outcomes can take on values in a discrete range (e.g. Natural number).

P3: False (If standard deviation is large then normal distribution will be shorter).

P4: True

P5: True (z-score=(raw score-mean)/SD)

P6: True

P7: True

P8: True

P9: False (99.7% of data will fall within 3 SDs of the mean)

P10: False (It is probability mass function)

P11: False

P12: True

P13: False (if p-value<0.05, we reject null hypothesis at 5% level of significance)

P14: True

P15: False (significance level is upper bound of this probability).

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