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oksian1 [2.3K]
4 years ago
10

In a diabetes study we compared fathers' blood sugar levels and their sons' blood sugar levels. We took a sample of 200 fathers

and for each father we measured his blood sugar level and his son's blood sugar level. We obtain correlation coefficient R =.84. That means
A. Diabetes is genetically inherited

B. the lower the father's blood sugar level the lower the son's blood sugar level

C. father's blood sugar level is not significantly different from his son's blood sugar level

D. if a father has a low blood sugar level then his son will have a low blood sugar level
Mathematics
2 answers:
CaHeK987 [17]4 years ago
8 0

Answer:

B. the lower the father's blood sugar level the lower the son's blood sugar level

Step-by-step explanation:

Correlation coefficient is the measure of relationship or association between two variables. It ranges between -1.0 and 1.0, negative correlation coefficient(-1.0 to 0) means there is negative relationship between the two variables, an increase in one variable leads to a decrease in the other. Positive correlation coefficient (0 to 1.0) means that there is a positive relationship between the two variables, an increase in one variable leads to an increase in the other variable. And correlation coefficient of 0.0 shows that there is no relationship between the two variables. For the case above, the correlation coefficient of 0.84 shows that there is a strong positive correlation coefficient between father's blood sugar levels and son's blood sugar levels, so the lower the father's blood sugar level the lower the son's blood sugar level

zzz [600]4 years ago
8 0

Answer:

C. father's blood sugar level is not significantly different from his son's blood sugar level.

Step-by-step explanation:

The study consists on comparing the blood sugar levels of sons and the blood sugar levels of their parents. A high correlation indicates that both sugar levels are not significantly different to each other. Then, the right answer is option C.

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Step-by-step explanation:

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3 years ago
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A lender estimates the closing costs on a home loan will be 3% of the loan amount of $180,000. The actual closing costs are list
Anvisha [2.4K]

Based on the information provided, it can be inferred that the lender made an excellent estimate; was equal to actual closing costs (option A)

<h3>How do you know what the lender's estimate was? </h3>

Based on the information provided, the lender estimated that the closing cost is equal to 3% of the $ 180,000 loan. To calculate that value we must do the following operation:

  • $ 180,000 / 100 x 3% = $ 5,400.

Based on the above, the estimated closing cost for that loan is $ 5,400.

<h3>How to know the real cost of closing the loan? </h3>

To know the real cost of the loan closing we must add the following values:

  • Closing Cost Charge Loan origination $ 345
  • Title insurance $ 600
  • Attorney's fees $ 1,350
  • Appraisal $ 480
  • Inspection $ 550
  • Recording fees $ 175
  • Escrow $ 1,900

$ 1,900 + $ 175 +% 550 + $ 480 + $ 1,350 + $ 600 + $ 345 = $ 5,400.

According to the above, the lender made a very precise estimate because his calculation hit the exact value of the closing cost (option A)

Learn more about lender in: brainly.com/question/3268275

3 0
2 years ago
60 + 2а – 4 = 2b + За
Brrunno [24]

Answer:

56 - 2b = a

Step-by-step explanation:

Step 1:

60 + 2a - 4 = 2b + 3a

Step 2:

56 + 2a = 2b + 3a

Step 3:

56 = 2b + a

Answer:

56 - 2b = a

Hope This Helps :)

6 0
3 years ago
A flashlight battery manufacturer makes a model of battery whose mean shelf life is three years and four months, with a standard
Vladimir [108]

Answer:

17,065 of those batteries can be expected to last between three years and one month and three years and seven months

Step-by-step explanation:

Problems of normally distributed samples can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore 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 pvalue, we get the probability that the value of the measure is greater than X.

In this problem:

I will calculate the time in months. Each year has twelve months.

Mean shelf life is three years and four months, with a standard deviation of three months. So

\mu = 3*12 + 4 = 40

\sigma = 3

Proportion lasting between three years and one month and three years and seven months:

This is the pvalue of Z when X = 3*12 + 7 = 43 subtracted by the pvalue of Z when X = 3*12 + 1 = 37

X = 43

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

Z = \frac{43 - 40}{3}

Z = 1

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X = 37

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

Z = \frac{37 - 40}{3}

Z = -1

Z = -1 has a pvalue of 0.1587.

0.8413 - 0.1587 = 0.6826

Out of 25,000 batteries:

68.26% of the batteries are expected to last between three years and one month and three years and seven months.

0.6826*25000 = 17,065

17,065 of those batteries can be expected to last between three years and one month and three years and seven months

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Step-by-step explanation:

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