1. the us mint has a specification that pennies have a mean weight of 2.5g. from a sample of 37 pennies, the mean weight is found to be 2.49910g. and the standard deviation is found to be 0.01648g. use a 0.05 significance level to test the claim that this sample is from a population with a mean weight equal to 2.5g. do the pennies appear to conform to the specifications of the us mint? the data can be found in the coinweights. mtw file on blackboard.

the pennies does not conform to the US mints specification

Step-by-step explanation:

z = (variate -mean)/ standard deviation

z= 2.5 - 2.4991 / 0.01648 = 0.0546

we are going to check the value of z in the normal distribution table, which is the table bounded by z.

checking for z= 0.0 under 55 gives 0.0219 (value gotten from the table of normal distribution)

we subtract the value of z from 0.5 (1- (0.5+0.0219)) = 0.4781 > 0.05claim

since 0.4781 > 0.05claim, therefore, the pennies does not conform to the US mints specification

the claim state a 5% significance level whereas the calculated significance level is 47.81%. therefore, the claim should be rejected

sum= when you add is how much the whole amount is

distance= when you use angles and it means how far it goes

step-by-step explanation:

answer: median

step-by-step explanation:

the median is the middle value when a data set is ordered from least to greatest