In: Math
According to the latest financial reports from a sporting goods store, the mean sales per customer was $75 with a population standard deviation of $6. The store manager believes 39 randomly selected customers spent more per transaction.
What is the probability that the sample mean of sales per
customer is between $76 and $77 dollars?
You may use a calculator or the portion of the z -table
given below. Round your answer to two decimal places if
necessary.
z | 0.00 | 0.01 | 0.02 | 0.03 | 0.04 | 0.05 | 0.06 | 0.07 | 0.08 | 0.09 |
1.0 | 0.841 | 0.844 | 0.846 | 0.848 | 0.851 | 0.853 | 0.855 | 0.858 | 0.860 | 0.862 |
1.1 | 0.864 | 0.867 | 0.869 | 0.871 | 0.873 | 0.875 | 0.877 | 0.879 | 0.881 | 0.883 |
1.2 | 0.885 | 0.887 | 0.889 | 0.891 | 0.893 | 0.894 | 0.896 | 0.898 | 0.900 | 0.901 |
1.3 | 0.903 | 0.905 | 0.907 | 0.908 | 0.910 | 0.911 | 0.913 | 0.915 | 0.916 | 0.918 |
1.4 | 0.919 | 0.921 | 0.922 | 0.924 | 0.925 | 0.926 | 0.928 | 0.929 | 0.931 | 0.932 |
1.5 | 0.933 | 0.934 | 0.936 | 0.937 | 0.938 | 0.939 | 0.941 | 0.942 | 0.943 | 0.944 |
1.6 | 0.945 | 0.946 | 0.947 | 0.948 | 0.949 | 0.951 | 0.952 | 0.953 | 0.954 | 0.954 |
1.7 | 0.955 | 0.956 | 0.957 | 0.958 | 0.959 | 0.960 | 0.961 | 0.962 | 0.962 | 0.963 |
1.8 | 0.964 | 0.965 | 0.966 | 0.966 | 0.967 | 0.968 | 0.969 | 0.969 | 0.970 | 0.971 |
1.9 | 0.971 | 0.972 | 0.973 | 0.973 | 0.974 | 0.974 | 0.975 | 0.976 | 0.976 | 0.977 |
2.0 | 0.977 | 0.978 | 0.978 | 0.979 | 0.979 | 0.980 | 0.980 | 0.981 | 0.981 | 0.982 |
2.1 | 0.982 | 0.983 | 0.983 | 0.983 | 0.984 | 0.984 | 0.985 | 0.985 | 0.985 | 0.986 |
2.2 | 0.986 | 0.986 | 0.987 | 0.987 | 0.987 | 0.988 | 0.988 | 0.988 | 0.989 | 0.989 |
$\mu_{\overline{x}}=$ $
sigma sub line segment x is equal to $\sigma_{\overline{x}}=$
$
cap p times open paren 76 is less than or equal to line segment x comma line segment x is less than or equal to 77 close paren is equal to $P\left(76\le\overline{x}\le77\right)=$
Solution :
Given that ,
mean = = $75
standard deviation = = $6
n = 39
=
= / n = 6 / 39=0.9608
P($76< <$77 ) = P[(76 - 75) / 0.9608< ( - ) / < (77 - 75) /0.9608 )]
= P( 1.04< Z <2.08 )
= P(Z < 2.08) - P(Z <1.04 )
Using z table,
= 0.9812 -0.8508
=0.1304
=0.13