The breaking strengths of cables produced by a certain manufacturer have a mean, , of pounds, and a standard deviation of pounds. it is claimed that an improvement in the manufacturing process has increased the mean breaking strength. to evaluate this claim, newly manufactured cables are randomly chosen and tested, and their mean breaking strength is found to be pounds.

assume that the population is normally distributed. can we support, at the level of significance, the claim that the mean breaking strength has increased? (assume that the standard deviation has not changed.)

perform a one-tailed test. then fill in the table below.

(a) what is the null hypothesis? h0:

(b) what is the alternate hypothesis? h1:

(c) do we use the z, t, chi or f test statistic?

(d) what is the value of the test statistic? round to at least three decimal places

(e) what is the critical value at the 0.1 level of significance? (round to at least three decimal places)

(f) **answer this yes or no** can we support the mean breaking strength has increased?

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fabric (square meters)                   cloaks

7                                                           21

4/3                                                         4

step-by-step explanation:

we are told that harry needs 2 square meters of fabric for every 6 wizard cloaks he makes.

1. first of all we will find how many cloaks can be made from 1 square meter of fabric by dividing 6 by 2.

we can see that 3 cloaks can be made from 1 square meter of fabric. now we will multiply 3 by 7 to find number of cloaks made from 7 square meters of fabric.

therefore, harry will make 21 cloaks from 7 square meters of fabric.

2. let us find how many square meters of fabric will be needed to make 4 cloaks.

first of all we will find fabric needed for 1 cloak by dividing 2 by 6.

we can see that fabric needed for 1 cloak is   square meter. now we will multiply   by 4 to find fabric needed for 4 cloaks.

sorry i really don't know what tiles and steps you are referring to

step-by-step explanation: