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Bond [772]
3 years ago
5

A researcher selects a sample of participants to test for differences in employment rates among part-time and full-time teachers

. Because there are many more women in teaching jobs than men, the researcher selected more women than men for her study to ensure that it represented the actual distribution of men and women teachers in the job sector. Which type of quota sampling was used in this example
Mathematics
1 answer:
maxonik [38]3 years ago
4 0

Answer: proportionate

Step-by-step explanation:

Proportional quota sampling is when the total number of people that are to be surveyed are decided in advance. This form of sampling is usually used in opinion polls and surveys.

Since due to the fact that there are many more women in teaching jobs than men, the researcher selected more women than men for her study to ensure that it represented the actual distribution of men and women teachers in the job, then this was decided in advance and indicates the proportionate quota sampling.

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Match each equation with the correct answer.<br><br> 19 - 4<br> 24 - 9
dangina [55]

Answer:

half of 30

Step-by-step explanation:

19 - 4 = 15

24 - 9 = 15

4 0
3 years ago
Find the value of x in the figure below.<br> A. 25<br> B. 35<br> C. 45<br> D. 65
Olenka [21]

Answer:x=45

Step-by-step explanation:

8 0
4 years ago
Read 2 more answers
Canine Crunchies Inc. (CCI) sells bags of dog food to warehouse clubs. CCI uses an automatic filling process to fill the bags. W
KatRina [158]

Answer:

a) 0.9999 = 99.99% probability that a filled bag will weigh less than 49.5 kilograms

b) 0.0018 = 0.18% probability that a randomly sampled filled bag will weight between 48.5 and 51 kilograms.

c) 46.24 kilograms

d) The standard deviation would have to be of 3.41 kilograms.

Step-by-step explanation:

Normal Probability Distribution:

Problems of normal distributions can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the z-score of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the p-value, we get the probability that the value of the measure is greater than X.

Mean of 45 kilograms and a standard deviation of 1.2 kilograms.

This means that \mu = 45, \sigma = 1.2

a. What is the probability that a filled bag will weigh less than 49.5 kilograms?

This is the pvalue of Z when X = 49.5. So

Z = \frac{X - \mu}{\sigma}

Z = \frac{49.5 - 45}{1.2}

Z = 3.75

Z = 3.75 has a pvalue of 0.9999

0.9999 = 99.99% probability that a filled bag will weigh less than 49.5 kilograms

b. What is the probability that a randomly sampled filled bag will weight between 48.5 and 51 kilograms?

This is the pvalue of Z when X = 51 subtracted by the pvalue of Z when X = 48.5.

X = 51

Z = \frac{X - \mu}{\sigma}

Z = \frac{51 - 45}{1.2}

Z = 5

Z = 5 has a pvalue of 1

X = 48.5

Z = \frac{X - \mu}{\sigma}

Z = \frac{48.5 - 45}{1.2}

Z = 2.92

Z = 2.92 has a pvalue of 0.9982

1 - 0.9982 = 0.0018

0.0018 = 0.18% probability that a randomly sampled filled bag will weight between 48.5 and 51 kilograms.

c. What is the minimum weight a bag of dog food could be and remain in the top 15% of all bags filled?

This is the 100 - 15 = 85th percentile, which is X when Z has a pvalue of 0.85. So X when Z = 1.037

Z = \frac{X - \mu}{\sigma}

1.037 = \frac{X - 45}{1.2}

X - 45 = 1.037*1.2

X = 46.24

46.24 kilograms.

d. CCI is unable to adjust the mean of the filling process. However, it is able to adjust the standard deviation of the filling process. What would the standard deviation need to be so that no more than 2% of all filled bags weigh more than 52 kilograms?

X = 52 would have to be the 100 - 2 = 98th percentile, which is X when Z has a pvalue of 0.98, so X when Z = 2.054. We would need to find the value of \sigma for this.

Z = \frac{X - \mu}{\sigma}

2.054 = \frac{52 - 45}{\sigma}

2.054\sigma = 7

\sigma = \frac{7}{2.054}

\sigma = 3.41

The standard deviation would have to be of 3.41 kilograms.

5 0
3 years ago
I NEED HELP PLEASE, THANKS! :)
agasfer [191]

Answer:

The answer is 4th Choice

Step-by-step explanation:

5 0
3 years ago
I think this is easy but I wasn’t paying attention so thanks for helping!
lana [24]
The answer would be

5 = (1/4)c
5 0
3 years ago
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