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Katen [24]
4 years ago
14

A hypothesis will be used to test that a population mean equals 7 against the alternative that the population mean does not equa

l 7 with known variance σ. What are the critical values for the test statistic Upper Z Subscript 0 for the significance level of 0.04? Round your answer to two decimal places (e.g. 98.76).

Mathematics
1 answer:
Yuri [45]4 years ago
8 0

Answer:

The upper critical value z₀ is 2.05.

Step-by-step explanation:

For a two-sided test like this (the mean can be significantlt greater or smaller than 7 to reject the null hypothesis), the critical values are the values of z that determine the boundaries of rejecting or not the null hypothesis.

If the significance level is 0.04, it means that there is a P-value of 0.02 for z larger than the upper critical value z₀.

P(z>z_0)=\alpha /2= 0.02

If we look up in a normal distribution table, the z value that corresponds to this probability is z=2.05.

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Please answer thanks! :)
Lana71 [14]
I believe she messed up in Step 2, it wouldnt be 7/8 it would be 6/8
8 0
3 years ago
Read 2 more answers
What is 6 1/2% as a decimal
Sati [7]
6 1/2% as a decimal is 6.05. 6 is a whole number, and 1/2% is 0.05 in decimal form.
4 0
4 years ago
Read 2 more answers
If a sprinkler rotated 90˚, paused, and then rotated another 90˚, how many degrees
Yanka [14]

Answer:

180°

Step-by-step explanation:

Since a sprinkler rotates 90°, pauses,and then rotates another 90°

So, here total degrees be like

= 90° + 90°

= 180°

hence, The number of degrees did it rotate altogether should be considered as the 180 degrees.

3 0
2 years ago
Consider rolling a fair die thrice and tossing a fair coin sixteen times. Assume that all the tosses and rolls are independent.
Trava [24]

The probability that the total number of heads in all the coin tosses equals 12 is 0.0273.

Given a fair dice and tossing a fair coin sixteen times.

We have to find the probability that the total number  of heads in all the coin tosses equals 12.

The probability lies between 0 and 1.

Probabiltiy of coming head when the coin is tossed 1 time is 0.5 and probability of coming tails is also 0.5.

Let X shows the sum of heads while tossing.

P(X=12)=?

We can find the probability using binomial theorem.

=16C_{12} (0.5)^{12} (0.5)^{2}

We have to toss sixteen times and out of 16 times we need head 12 times.

=16!/12!4!*0.00024*0.0625

=1820*0.000015

=0.0273

Hence the probability that the total number of heads in all the coin tosses equals 12 is  0.0273.

Learn more about probability at brainly.com/question/24756209

#SPJ4

8 0
2 years ago
Suppose
DerKrebs [107]

Answer:

Is this even possible

Step-by-step explanation:

7 0
3 years ago
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