For assignment help consult brilliant tutorials at 0691643262
PYC3701 STUDENT PORTIFOLIO ASSSIGNMENT 1 SOLUTION
, For assignment help consult brilliant tutorials at 0691643262
Question1
1.1 Hypothesis refers to a testable statement or prediction about the relationship
between variables or the outcome of a study.
1.2 p-value is A statistical measure that helps determine the probability of observing
a certain result or more extreme results if the null hypothesis is true.
1.3 Level of significance is the probability of rejecting the null hypothesis when it is
true, usually set at a predetermined value, such as 0.05 or 0.01.
1.4 α value: The level of significance, often set at 0.05 or 0.01, used to determine
whether to reject or accept the null hypothesis.
1.5 x refers to the sample mean, which is the sum of all observations divided by the
total number of observations.
1.6 Standard deviation is a measure of how much the data values deviate from the
mean of the data set.
1.7 Variance refers to a measure of the spread of a data set, calculated as the
average of the squared deviations from the mean.
1.8 Standard error is a measure of the variability of a sample mean, calculated as
the standard deviation of the population divided by the square root of the sample
size.
1.9 Test statistic is a value calculated from sample data used to determine whether
to reject or accept the null hypothesis.
1.10 Frequency distribution refers to a representation of the number of times a
particular value occurs in a data set.
1.11 Correlation is a statistical measure that shows the relationship between two
variables.
1.12 Correlation coefficient is a measure of the strength and direction of the linear
relationship between two variables.
PYC3701 STUDENT PORTIFOLIO ASSSIGNMENT 1 SOLUTION
, For assignment help consult brilliant tutorials at 0691643262
Question1
1.1 Hypothesis refers to a testable statement or prediction about the relationship
between variables or the outcome of a study.
1.2 p-value is A statistical measure that helps determine the probability of observing
a certain result or more extreme results if the null hypothesis is true.
1.3 Level of significance is the probability of rejecting the null hypothesis when it is
true, usually set at a predetermined value, such as 0.05 or 0.01.
1.4 α value: The level of significance, often set at 0.05 or 0.01, used to determine
whether to reject or accept the null hypothesis.
1.5 x refers to the sample mean, which is the sum of all observations divided by the
total number of observations.
1.6 Standard deviation is a measure of how much the data values deviate from the
mean of the data set.
1.7 Variance refers to a measure of the spread of a data set, calculated as the
average of the squared deviations from the mean.
1.8 Standard error is a measure of the variability of a sample mean, calculated as
the standard deviation of the population divided by the square root of the sample
size.
1.9 Test statistic is a value calculated from sample data used to determine whether
to reject or accept the null hypothesis.
1.10 Frequency distribution refers to a representation of the number of times a
particular value occurs in a data set.
1.11 Correlation is a statistical measure that shows the relationship between two
variables.
1.12 Correlation coefficient is a measure of the strength and direction of the linear
relationship between two variables.
