QUESTION 2) What is the conclusion for t-test concerning if the mean child mortality rate for countries in Eastern Europe is more than the mean child mortality rate for countries in the Middle East?
There is insufficient evidence that the mean child mortality rate for countries in Eastern Europe is more than the mean Child mortality rate for countries in the Middle East.
The means are exactly the same.
There is insufficient evidence that the mean child mortality rate for countries in Africa is more than the mean Child mortality rate for countries in South Asia.
There is evidence that the mean child mortality rate for countries in Africa is more than the mean Child mortality rate for countries in South Asia.
There is evidence that the mean child mortality rate for countries in Eastern Europe is more than the mean Child mortality rate for countries in the Middle East.
ONLY ANSWER THE QUESTION ABOVE
Case Description
Corporations with international operations need to assess the
risks associated with setting up and maintaining operations in
different regions of the world. Consideration of the risks include
considering such issues as political and economic stability. One
indicator of the healthcare and quality of life in a country or
region that is considered correlated with the risk and stability in
the region is the child mortality rate. As a result, the healthcare
and quality of care as measured by the child mortality rate in a
region can impact the type and amount of investment in a region and
countries within a region. The child mortality rate is the number
of children 5 and under that die per thousand people in the
population. The Inter-agency Group for Child Mortality Estimation
(IGME) was obtained from www.childmortality.org. In 2008 the US
rate was 7.6 deaths per thousand and in North America (US and
Canada) the rate was 6.65 with a standard deviation of 0.68. The
Excel file for this assignment has labels for the year, country
name, and continent group.
Test Statistic
Since it is assumed that the population variances are equal, the
t-statistic is computed as follows:
The p-value is
,
and since p = 0.4907 > 0.05, it is concluded that the null hypothesis is not rejected.
Conclusion: There is insufficient evidence that the mean child mortality rate for countries in Eastern Europe is more than the mean Child mortality rate for countries in the Middle East.
QUESTION 2) What is the conclusion for t-test concerning if the mean child mortality rate for...
QUESTION 3)What is the critical value of the
test statistic to test the mean child mortality rate for countries
in Africa is more than the mean child mortality rate for countries
in South Asia?
0.59
0.299
0.126
2.015
2.35
Case Description
Corporations with international operations need to assess the
risks associated with setting up and maintaining operations in
different regions of the world. Consideration of the risks include
considering such issues as political and economic stability. One
indicator of the...
What is the conclusion for t-test concerning if the mean child
mortality rate for countries in Africa is more than the mean child
mortality rate for countries in South Asia?
Did i get the right answer?
1.
RYAN GREGURICH of 5 Step 1 of 1 Question 2- 00:16:35 What is the conclusion for t-test concerning if the mean child mortality rate for countrles in Afica is more than the mean child mortality rate for countries in South Asia? Answer 10...
Case Description
Corporations with international operations need to assess the
risks associated with setting up and maintaining operations in
different regions of the world. Consideration of the risks include
considering such issues as political and economic stability. One
indicator of the healthcare and quality of life in a country or
region that is considered correlated with the risk and stability in
the region is the child mortality rate. As a result, the healthcare
and quality of care as measured by...
ONLY ANSWER THE QUESTIONS AT THE BOTTOM
Case Description
Corporations with international operations need to assess the
risks associated with setting up and maintaining operations in
different regions of the world. Consideration of the risks include
considering such issues as political and economic stability. One
indicator of the healthcare and quality of life in a country or
region that is considered correlated with the risk and stability in
the region is the child mortality rate. As a result, the healthcare...
10.8 - It is very costly and time consuming to Import and Export. As part of an initial investigation exploring foreign markets entry into 10 different countries in four (4) global regions. The cost to EXPORT sea cargo in these countries is seen below: Country Region Cost to export (US$ per container) Cambodia East Asia & Pacific 755 China East Asia & Pacific 580 Hong Kong SAR, China East Asia & Pacific 575 Indonesia East Asia & Pacific 644...
t-Test: Two-Sample Assuming Equal Variances Variable 1 Variable 2 Mean 12.89795918 17.66666667 Variance 161.2185374 567.8266667 Observations 49 51 Pooled Variance 368.6716646 Hypothesized Mean Difference 0 Df 98 t Stat -1.241549191 P(T<=t) one-tail 0.108683158 t Critical one-tail 1.660551217 P(T<=t) two-tail 0.217366316 t Critical two-tail 1.984467455 Is there a significant difference between the two sample means? If you answer, “yes,” what is your reasoning? If you answer, “no,” what is your reasoning? Please state the conclusion, or your interpretation of the results in terms...
How do I write the results of this t-test out in a statsically
way ?
$120,000 $75,000 t-Test: Two-Sample Assuming Unequal Variances Mean College Degree 131233.3333 1795633333 30 High School Degree (Only) 60966.66667 582171264.4 Variance Observations Hypothesized Mean Difference df 46 t Stat P(T<=t) one-tail t Critical one-tail PIT<=t) two-tail t Critical two-tail 7.892632799 2.1299E-10 1.678660414 4.2598E-10 2.012895599
t-test: two-sample assuming equal variances Subject ID Height Mean 9.9 68.85 Variance 39.0421053 35.0815789 Observations 20 20 Pooled Variance 37.0618421 Hypothesized Mean Difference 0 df 38 t Stat -30.621066 P(T<=t) one-tail 1.0856E-28 t Critical one-tail 1.68595446 P(T<=t) two-tail 2.1711E-28 t Critical two-tail 2.02439416 From your results, please report the following: Variable 1 Mean: Variable 2 Mean: Two-tailed p-value: Is your p-value significant? (alpha=0.05) If your results are significant/not significant, what can you conclude from your data? (i.e. is there a...
Stress between males and females
*Note: alpha = .001
1 t-Test: Two-Sample Assuming Unequal Variances Female Male 4 Mean 5 Variance 6 Observations 7 Hypothesized Mean Difference 3.655737705 3.52857143 1.296174863 1.12236025 70 61 8 df 9 t Stat 10 P(T-t) one-tail 11 t Critical one-tail 12 P(T<-t) two-tail 13 t Critical two-tail 124 0.658596658 0.255687918 3.157259054 0.511375836 3.370720124 Student Survey Data (2 Sample t-test) 1. Test Decision & Basis 2. Interpretation of Test Decision:
Please help me, I wasn't sure which test to use so I did both of
them on excel. Please let me know which is correct and answer A-C.
I will give the answer a thumbs up if you can get back to me
asap.
The physicians also believe that people who are obese are more
likely to die earlier than those who are not. Again use the data in
the Framingham sample to test this theory by comparing the mean...