Part 2 of 4 (b) Compute the P-value. Round the answer to at least four decimal places. P-value =
Correlation
Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.
Linear Correlation
A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.
Regression Analysis
Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.
 alt="Strength of concrete: The compressive strength, in kilopascals, was measured for concrete blocks from five different batches of concrete, both three and six
days after pouring. The data are as follows. Can you conclude that the mean strength after three days is greater than the mean strength after six days? Let u,
represent the mean strength after three days and ju, = l, -h. Use the a = 0.10 level and the P-value method with the TI-84 Plus calculator
Block
do
1
3
4
5
After 3 days
1326
1366
1372
1378
1337
After 6 days
1316
1351
1367
1379
1318
Send data to Excel
Part 1 of 4
(a) State the null and alternate hypotheses.
H: Hd
This hypothesis test is a two-tailed
test.
Part: 1/ 4
Part 2 of 4
(b) Compute the P-value. Round the answer to at least four decimal places.
P-value =
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