Please solve the blanks, thank you very much!! A mixture of pulverized fuel ash and Portland cement to be used for grouting should have a compressive strength of more than 1,300 KN/m2. The mixture will not be used unless experimental evidence indicates conclusively that the strength specification has been met. Suppose compressive strength for specimens of this mixture is normally distributed vwith a = 69.Let u denote the true average compressive strength.(a) What are the appropriate null and alternative hypotheses?O H: H = 1,300H:u# 1,300O H,: H = 1,300H: u< 1,300O H,: H= 1,300H:H > 1,300Ο Η , μ< 1,300Hiu = 1,300O H,: 4 > 1,300H: H = 1,300(b) Let X denote the sample average compressive strength for n = 15 randomly selected specimens. Consider the test procedure with test statistic X itself (not standardized). What is the probability distribution of the test statistic when H, is true?O The test statistic has a normal distribution.O The test statistic has a binomial distribution.O The test statistic has an exponential distribution.O The test statistic has a gamma distribution.If X = 1,340, find the P-value. (Round your answer to four decimal places.)P-value =Should H, be rejected using a significance level of 0.01?O reject H.O do not reject H.(c) What is the probability distribution of the test statistic when u = 1,350 and n = 15?O The test statistic has a binomial distribution.O The test statistic has a normal distribution.O The test statistic has an exponential distribution.O The test statistic has a gamma distribution.State the mean and standard deviation (in KN/m) of the test statistic. (Round your standard deviation to three decimal places.)meanKN/m?standard deviationKN/m?For a test with a = 0.01, what is the probability that the mixture will be judged unsatisfactory when in fact u = 1,350 (a type II error)? (Round your answer to four decimal places.)

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P value: From the given information population mean, μ=1300Sample mean=x¯=1340n=15σ=69 Tail of the…

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A mixture of pulverized fuel ash and Portland cement to be used for grouting should have a compressive strength of mere than 1,300 K/m?. The mixture will not be used unless experimental evidence indicates conclusively that the strength specification has been met. Suppose compressive strength for specimens of this mixture is normally distributed withg 69. Let denote the true average compressive strength. (a) What are the appropriate nul and altermative hypetheses? H 1.300 H 1.300 M 1.300 1300 H -1.300 H> 1.300 H 1.300 H 1.300 H 1.300 H 1.300 (b) Let X denote the sample average compressive strength for n 15 randomly selected specimens. Consider the test procedure with test statistic X itself (not standardized). What is the probability distribution of the test statistic when H, is true? • The test statistic has a normal distributien. O The test statistic has a binomial distribution. O The test statistie has an aunecantial distrtion

A mixture of pulverized fuel ash and Portland cement to be used for grouting should have a compressive strength of mere than 1,300 K/m?. The mixture will not be used unless experimental evidence indicates conclusively that the strength specification has been met. Suppose compressive strength for specimens of this mixture is normally distributed withg 69. Let denote the true average compressive strength. (a) What are the appropriate nul and altermative hypetheses? H 1.300 H 1.300 M 1.300 1300 H -1.300 H> 1.300 H 1.300 H 1.300 H 1.300 H 1.300 (b) Let X denote the sample average compressive strength for n 15 randomly selected specimens. Consider the test procedure with test statistic X itself (not standardized). What is the probability distribution of the test statistic when H, is true? • The test statistic has a normal distributien. O The test statistic has a binomial distribution. O The test statistie has an aunecantial distrtion

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Contingency Table

A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.

Binomial Distribution

Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.

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Please solve the blanks, thank you very much!!

A mixture of pulverized fuel ash and Portland cement to be used for grouting should have a compressive strength of more than 1,300 KN/m2. The mixture will not be used unless experimental evidence indicates conclusively that the strength specification has been met. Suppose compressive strength for specimens of this mixture is normally distributed vwith a = 69.
Let u denote the true average compressive strength.
(a) What are the appropriate null and alternative hypotheses?
O H: H = 1,300
H:u# 1,300
O H,: H = 1,300
H: u< 1,300
O H,: H= 1,300
H:H > 1,300
Ο Η , μ< 1,300
Hiu = 1,300
O H,: 4 > 1,300
H: H = 1,300
(b) Let X denote the sample average compressive strength for n = 15 randomly selected specimens. Consider the test procedure with test statistic X itself (not standardized). What is the probability distribution of the test statistic when H, is true?
O The test statistic has a normal distribution.
O The test statistic has a binomial distribution.
O The test statistic has an exponential distribution.
O The test statistic has a gamma distribution.
If X = 1,340, find the P-value. (Round your answer to four decimal places.)
P-value =
Should H, be rejected using a significance level of 0.01?
O reject H.
O do not reject H.
(c) What is the probability distribution of the test statistic when u = 1,350 and n = 15?
O The test statistic has a binomial distribution.
O The test statistic has a normal distribution.
O The test statistic has an exponential distribution.
O The test statistic has a gamma distribution.
State the mean and standard deviation (in KN/m) of the test statistic. (Round your standard deviation to three decimal places.)
mean
KN/m?
standard deviation
KN/m?
For a test with a = 0.01, what is the probability that the mixture will be judged unsatisfactory when in fact u = 1,350 (a type II error)? (Round your answer to four decimal places.)

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A mixture of pulverized fuel ash and Portland cement to be used for grouting should have a compressive strength of more than 1,300 KN/m. The mixture will not be used unless experimental evidence indicates conclusively that the strength specification has been met. Suppose compressive strength for specimens of this mixture is normally distributed with o= 65. Let u denote the true average compressive strength. (a) What are the appropriate null and alternative hypotheses? H:H= 1,300 H:H= 1,300 Ho: H > 1,300 H:H= 1,300 O Hg: H = 1,300 H: H > 1,300 O Hg: H< 1,300 H H = 1,300 O Ho: H = 1,300 H: H < 1,300 (b) Let X denote the sample average compressive strength for n = 11 randomly selected specimens. Consider the test procedure with test statistic X itself (not standardized). What is the probability distribution of the test statistic when H, is true? O The test statistic has a normal distribution. O The test statistic has a binomial distribution. O The test statistic has a gamma distribution.…
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