A wedding website states that the average cost of a wedding in 2017 was $25,764. One concerned bride hopes that the average is less than reported. To see if her hope is correct, she surveys 55 recently married couples and finds that the average cost of wedding in the sample was $23,015. Assuming that the population standard deviation is $7235, is there sufficient evidence to support the bride's hope at the 0.1 level of significance? Solve this problem using the rejection region method. Test Statistic (round your answer to two decimal places): z = Critical z-values (enter the value of ?? or ??/2, it should be positive): Conclusion (enter R for "reject H0", and F for "fail to reject H0"):
A wedding website states that the average cost of a wedding in 2017 was $25,764. One concerned bride hopes that the average is less than reported. To see if her hope is correct, she surveys 55 recently married couples and finds that the average cost of wedding in the sample was $23,015. Assuming that the population standard deviation is $7235, is there sufficient evidence to support the bride's hope at the 0.1 level of significance? Solve this problem using the rejection region method.
Test Statistic (round your answer to two decimal places): z =
Critical z-values (enter the value of ?? or ??/2, it should be positive):
Conclusion (enter R for "reject H0", and F for "fail to reject H0"):
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