Answer:
74.22% probability that a family of four will spend more than $400.
Explanation:
Problems of normally distributed samples can be solved using the z-score formula.
In a set with mean
and standard deviation
, the zscore of a measure X is given by:
![Z = (X - \mu)/(\sigma)](https://img.qammunity.org/2021/formulas/mathematics/college/c62rrp8olhnzeelpux1qvr89ehugd6fm1f.png)
The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.
In this problem, we have that:
![\mu = 442.54, sigma = 65](https://img.qammunity.org/2021/formulas/mathematics/college/or73ihf1vxuyua1ey5z0l98p8u5wgyf39y.png)
What is the probability that a family of four will spend more than $400?
This is 1 subtracted by the pvalue of Z when X = 400. So
![Z = (X - \mu)/(\sigma)](https://img.qammunity.org/2021/formulas/mathematics/college/c62rrp8olhnzeelpux1qvr89ehugd6fm1f.png)
![Z = (400 - 442.54)/(65)](https://img.qammunity.org/2021/formulas/mathematics/college/szwxhan6bmc1mo5g68e2tpav26k1vl4njn.png)
![Z = -0.65](https://img.qammunity.org/2021/formulas/mathematics/college/68wvin2h7xz3ohaixv2qy5b68khi0yai36.png)
has a pvalue of 0.2578.
So there is a 1-0.2578 = 0.7422 = 74.22% probability that a family of four will spend more than $400.