Population parameter

.1 for the confidence for the population parameter eg.the population means and computed ata 99% confidence level what proportion of all possible confidence intervals will contain the true parameter value? Enter anser with 2 decimal places .

1. with 80% confidence for sample proportion 0.42 and sample size 26 what is the is the upper confidence limit with 2 2 decimal places.what is margin of error for th population means of 90% confidence level for the information in DATA CLICK THE LINK IN ACCESS THE DATA FOR THE PROBLEM

Non of the answers match calculations

0.74

0.72

0.75

0.73

1. Bobos Bad Burgers fast food claims you will be in and out in 5 minutes. To test this claim, time in minutes from entering Bobos to receiving the orders was secretly recorded. The results are documented in DATA. At a 95% confidence level, does the confidence interval support Bobos claim?

None of the answers match my calculations

The confidence limits(2.77 , 4.54) reject the claim of 5 minutes. 5 is greater than the upper confidence limit. Bobos performance is exemplary.

The confidence limits(4.77 , 6.58) support the claim of 5 minutes. 5 falls in between the confidence limits. Bobos performance meets the expectation .

The confidence limits (6.79 , 8.56) reject the claim of 5 minutes. 5 is less tha the lower confidence limit. Audit of Bobos procedures and employees is recommended.

The confidence limits(1.62 , 3.21) rejct the claim of 5 minutes. 5 is greater than the upper confidence limit. Performance at Bobos is incredible.

.6.. Match up following

3….1234.rejectioon of H0 when H0 is false or not rejecting H0 when H0 is true

4 …1234…….the risk we are willing to take of the type 1 error or the type 1 error rate.

2 Failure to reject H0 WHEN H0 is False

1. Rejection of H0 when Ho is true
2. α

3.. Not an error

2.type 2 error

1. Type 1 error

7 MATCHING UP FOLLOWING..

123456…Test of this hypothesis requires 1 tailed test with upper reject region .

1. β

2.1-β

3.pvalue < α

1. H0: μ < 0
2. H0: μ > 0
3. H0: μ = 0

123456 ..The power of a test = p (rejecting H0/H0 false)

Reject H0

123456…The probability of type 2

123456…Test of this hypothesis require 2 tailed test with lower reject region bounded by negative critical value and upper reject region bounded by positive critical value.

123456..Test if this hypothesis requires1 tailed test with lower reject region bounded by negative critical value .

1. Match the rules for rejecting H0 at the right to the following tests

One- tail test with lower reject region.

For any test hypothesis, ANOVA, or Chi Squared, this rule for rejecting HO always applies

Two- tail test with lower and upper reject regions.

One- tail test with upper reject region.

1. test statistic > positive critical value
2. test statistic < negative critical value
3. test statistic outside interval (negative critical value, positive critical value)