Showcase the Confidence Interval, Interpretation, Hypothesis Tests and Conclusions for the data set below for a...
Showcase the Confidence Interval, Interpretation, Hypothesis Tests and Conclusions for the data set below for a data set of 250 people:
|
n |
Mean |
Variance |
Std. dev. |
Std. err. |
Median |
Range |
Min |
Max |
Q1 |
Q3 |
|
192 |
609.78646 |
973806.63 |
986.81641 |
71.21734 |
300 |
10000 |
0 |
10000 |
100 |
800 |
Homework Answers
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Showcase the Confidence Interval, Interpretation, Hypothesis
Tests and Conclusions for the data set below for a...
Please help, help!!!!!!! Using the data given in the table, answer the question (a) Construct a...
Please help, help!!!!!!! Using the data given in the table,
answer the question
(a) Construct a 95% confidence interval for lmedv and test the
hypothesis H0: mean lmedv = 3 vs. H1: mean lmedv > 3. What is
the test statistic value, p-value and your conclusion of the test
at α = 0.05? (Note that the confidence interval is two-sided while
the test is one-sided.) lmdev being median value of owner-occupied
homes in $1000's
(b) Let p = proportion of...
don’t mind the writing under the question. I gurssed there noticeable regional differences in the median teacher pa...
don’t mind the writing under the question. I gurssed
there noticeable regional differences in the median teacher pay among states? If so, describe the differences.|な r Tooys Scattered and sliny urevn Cut tm ANSWER: We begin by looking at the summary statistcs, a dotplot, and a boxplot of the median teachers pay across all states. Summary statistics: n Mean Variance Std. dev. Std. err. Median Range Min Max Q1 Q3 Column 24 26.3 50.3 31.5 40.5 35 Teacher Pay ($1000)...
4. Given the data set (20) 12,67,56,98,44,33,25,26,27,25,43,56,34,85,99,22,43,23,12,12,23,24,25,25, 23,66,27,23,39,32, Min Q1 Q2 Q3 | Max mean mode...
4. Given the data set (20) 12,67,56,98,44,33,25,26,27,25,43,56,34,85,99,22,43,23,12,12,23,24,25,25, 23,66,27,23,39,32, Min Q1 Q2 Q3 | Max mean mode median Standard deviation variance IQR Range MOE skewness C.V.
Data Exploration 2. (10 pts) Use to JMP to estimate the 95% confidence interval for the...
Data Exploration 2. (10 pts) Use to JMP to estimate the 95% confidence interval for the mean of both the dependent and independent variables. - Distributions - Price - Distributions - Mileage (km) 90000 Quantiles 100.0% maximum Quantiles 1000W maximum 209000 150278875 107553 18399,75 00.0% 75.0% quartile 25.0 quartie 74091 125 0.0% minimum Summary Statistics Mean Sad Dev Std Er Mean 301.65425 Upper 6% Mean 11001.677 Lower 95% Mean 98045825 minimum - Summary Statistics Maan 5209271 Std Dev SE Mean3658.5771...
Select two data values from your raw data – one that is inside of the confidence interval and one that is outside – one must be at the high end of the data and one at the low end – and construct two h...
Select two data values from your raw data – one that is inside of the confidence interval and one that is outside – one must be at the high end of the data and one at the low end – and construct two hypothesis tests, one for each value. One of the tests should be a “less than”, the other should be a “greater than”, depending on the value being tested. Use a 95% level of confidence, and showcase Ho...
15. The average salary in Vancouver has a mean of $70,000 and a median of $48,000....
15. The average salary in Vancouver has a mean of $70,000 and a median of $48,000. Which statistic would you prefer to use as a measure of center, and why?: * Oa. The mean because this statistic should always be used as the measure of center. Ob. The median because the salaries are strongly skewed left. Oc. The mean because the salaries are bell-shaped. Od. The median because the salaries are strongly skewed right. Questions 16-17: Consider the following summary...
In the picture below, I have the output for the same two sets of data. I ran the hypothesis test and the confidence interval. If you had a choice to use one output or the other, which would you choose...
In the picture below, I have the output for the same two sets of data. I ran the hypothesis test and the confidence interval. If you had a choice to use one output or the other, which would you choose and why? Make sure to be specific and include what information you get from each and what information you don't get if you use one over the other. Options Two sample T summary hypothesis test: : Mean of Population 1...
A study was conducted to evaluate the effectiveness of a weight loss program. Among 36 obese indi...
A study was conducted to evaluate the effectiveness of a weight loss program. Among 36 obese individuals aged 55 to 75 years randomly selected into the study, each individual had his/her BMI computed before and after the program. The decrease in the BMI was recorded into a SAS dataset and proc univariate was used to analyze this dataset. The population m ean of the decrease in the BMI is denoted by μ. Use the SAS output on the following page...
You have a set of data that you have labeled as x (explanatory) and y (response)....
You have a set of data that you have labeled as x (explanatory) and y (response). You run summary statistics and get the following. Both variables are quantitative. Summary Statistics Column Mean Variance Std dev Std error Median Min Max 18 32.5 145.206 12.05 2.84 32.5 17 54 у 18 6.778 7.007 2.647 0.624 6.5 2 11 n Х Correlation between x and y is 0.555 What is the equation of the linear regression? Important: Round your value for the...
You have a set of data that you have labeled as x (explanatory) and y (response)....
You have a set of data that you have labeled as x (explanatory) and y (response). You run summary statistics and get the following. Both variables are quantitative. Summary Statistics Column n Mean Variance Std dev Std error Median Min Max х 18 31.889 307.046 17.523 4.13 26 12 59 у 18 5.667 6.706 2.59 0.61 5.5 1 10 Correlation between x and y is 0.641 What is the equation of the linear regression? Important: Round your value for the...
Please help, help!!!!!!! Using the data given in the table,
answer the question
(a) Construct a 95% confidence interval for lmedv and test the
hypothesis H0: mean lmedv = 3 vs. H1: mean lmedv > 3. What is
the test statistic value, p-value and your conclusion of the test
at α = 0.05? (Note that the confidence interval is two-sided while
the test is one-sided.) lmdev being median value of owner-occupied
homes in $1000's
(b) Let p = proportion of...
don’t mind the writing under the question. I gurssed
there noticeable regional differences in the median teacher pay among states? If so, describe the differences.|な r Tooys Scattered and sliny urevn Cut tm ANSWER: We begin by looking at the summary statistcs, a dotplot, and a boxplot of the median teachers pay across all states. Summary statistics: n Mean Variance Std. dev. Std. err. Median Range Min Max Q1 Q3 Column 24 26.3 50.3 31.5 40.5 35 Teacher Pay ($1000)...
4. Given the data set (20) 12,67,56,98,44,33,25,26,27,25,43,56,34,85,99,22,43,23,12,12,23,24,25,25, 23,66,27,23,39,32, Min Q1 Q2 Q3 | Max mean mode median Standard deviation variance IQR Range MOE skewness C.V.
Data Exploration 2. (10 pts) Use to JMP to estimate the 95% confidence interval for the mean of both the dependent and independent variables. - Distributions - Price - Distributions - Mileage (km) 90000 Quantiles 100.0% maximum Quantiles 1000W maximum 209000 150278875 107553 18399,75 00.0% 75.0% quartile 25.0 quartie 74091 125 0.0% minimum Summary Statistics Mean Sad Dev Std Er Mean 301.65425 Upper 6% Mean 11001.677 Lower 95% Mean 98045825 minimum - Summary Statistics Maan 5209271 Std Dev SE Mean3658.5771...
15. The average salary in Vancouver has a mean of $70,000 and a median of $48,000. Which statistic would you prefer to use as a measure of center, and why?: * Oa. The mean because this statistic should always be used as the measure of center. Ob. The median because the salaries are strongly skewed left. Oc. The mean because the salaries are bell-shaped. Od. The median because the salaries are strongly skewed right. Questions 16-17: Consider the following summary...
A study was conducted to evaluate the effectiveness of a weight loss program. Among 36 obese individuals aged 55 to 75 years randomly selected into the study, each individual had his/her BMI computed before and after the program. The decrease in the BMI was recorded into a SAS dataset and proc univariate was used to analyze this dataset. The population m ean of the decrease in the BMI is denoted by μ. Use the SAS output on the following page...
You have a set of data that you have labeled as x (explanatory) and y (response). You run summary statistics and get the following. Both variables are quantitative. Summary Statistics Column Mean Variance Std dev Std error Median Min Max 18 32.5 145.206 12.05 2.84 32.5 17 54 у 18 6.778 7.007 2.647 0.624 6.5 2 11 n Х Correlation between x and y is 0.555 What is the equation of the linear regression? Important: Round your value for the...
You have a set of data that you have labeled as x (explanatory) and y (response). You run summary statistics and get the following. Both variables are quantitative. Summary Statistics Column n Mean Variance Std dev Std error Median Min Max х 18 31.889 307.046 17.523 4.13 26 12 59 у 18 5.667 6.706 2.59 0.61 5.5 1 10 Correlation between x and y is 0.641 What is the equation of the linear regression? Important: Round your value for the...
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