# How to find calculate this?

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Calculate the test statistic (and for Excel users, the p-value) when x ̅ = 145, #s = 50# , and #n =100# . Use a #5% # significance level.

#H_0: μ = 150#

#H_1: μ < 150 #

Calculate the test statistic (and for Excel users, the p-value) when x ̅ = 145,

test statistic =

p-value = 0.1587 (using z) or 0.1599 (using t)

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When evaluating a one-sided limit, you need to be careful when a quantity is approaching zero since its sign is different depending on which way it is approaching zero from. Let us look at some examples.

When evaluating a one-sided limit, you need to be careful when a quantity is approaching zero since its sign is different depending on which way it is approaching zero from. Let us look at some examples.

When evaluating a one-sided limit, you need to be careful when a quantity is approaching zero since its sign is different depending on which way it is approaching zero from. Let us look at some examples.

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