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Murrr4er [49]
3 years ago
14

The shift supervisor of a pizza parlor claimed that the population mean total time to deliver a pizza is exactly 45 minutes. Pai

ge, the owner, would like to find evidence that the population mean total time to deliver a pizza is less than 45 minutes so she records the total delivery time of 71 randomly selected deliveries and she finds that the sample mean is 44.06 minutes with a sample standard deviation of 3.46 minutes. The test statistic t for a hypothesis test of H0:μ=45 versus Ha:μ<45 is t≈−2.29. If 0.01
Mathematics
1 answer:
mezya [45]3 years ago
6 0

Answer: idk......☹️

Step-by-step explanation:

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A golfer would like to test the hypothesis that the variance of his golf score equals 10.0. A random sample of 28 rounds of golf
Ratling [72]

Answer:

Step-by-step explanation:

Hello!

Interest hypothesizes is that the variance of the golfer's scores equals to δ²= 10.0.

A random sample of 28 rounds of golf had a sample standard deviation S= 3.5

The statistics hypotheses are:

H₀: δ²= 10.0

H₁: δ²≠ 10.0

α: 0.05

To conduct a hypothesis test for the population variance you have to work using the Chi-Square distribution, this test is two-tailed so you will have two critical values. Between these two values is defined as the "not rejection region" and below and above them lies the "rejection region"

Lower critical value: X^2_{n-1; \alpha /2}= X^2_{27; 0.05}= 16.928

Upper critical value: X^2_{n-1;1-\alpha /2}= X^2_{27;0.95}= 40.113

If X^2_{H_0} ≤ 16.928 or X^2_{H_0} ≥ 40.113, the decision is to reject the null hypothesis.

If 16.928 < X^2_{H_0} < 40.113, the decision is to not reject the null hypothesis.

X^2= \frac{(n-1)S^2}{Sigma^2} ~~X^2_{n-1}

X^2_{H_0}= \frac{(28-1)12.25}{10} = 33.075

The calculated X^2_{H_0} is between the two critical values, so the decision is to not reject the null hypothesis. We can conclude that the population variance fro this golfers play score is 10.

I hope this helps!

5 0
3 years ago
What is the probability of tossing a coin twice and getting a head and a tails?
Naya [18.7K]

Answer:

Probability for flipping a coin twice and getting heads: 1/2

Probability for flipping a coin twice and getting tails: 1/2

Probability for getting heads AND tails: 0

Probability for getting heads or tails: 1/2

Step-by-step explanation:

Probability is how likely something happens. Since there is only 2 options, the probability for getting one of them would be 1/2 and getting both of them 0, because you can only get one of them. Probability for getting heads or tails would be the same. I'm not sure what your question was, so I did all possible answers. Hope this helps!

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