Most engaged couples expect or at least hope that they will have high levels of marital satisfaction. However, because 54% of first marriages end in divorce, social scientists have begun investigating influences on marital satisfaction. (Data Source: National Center for Health Statistics.) A counseling psychologist sets out to look at the role of having children in relationship longevity. She decides to measure marital satisfaction in a group of couples with children and a group of childless couples. She chooses the Marital Satisfaction Inventory, because it refers to "partner" and "relationship" rather than "spouse" and "marriage," which makes it useful for research with both traditional and nontraditional couples. Higher scores on the Marital Satisfaction Inventory indicate greater satisfaction. Assume that these scores are normally distributed. A sample of 39 couples with children scored an average of 51.1 with a sample standard deviation of 9.2 on the Marital Satisfaction Inventory. A sample of 31 childless couples scored an average of 45.2 with a sample standard deviation of 12.1. Suppose you intend to conduct a hypothesis test on the difference in population means. In preparation, you call the sample of couples with children sample 1 and the sample of childless couples sample 2. Organize the provided data by matching the information: Group of answer choices n1 n2 Population mean 1 Population mean 2 Mean 1 Mean 2
Contingency Table
A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.
Binomial Distribution
Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.
Most engaged couples expect or at least hope that they will have high levels of marital satisfaction. However, because 54% of first marriages end in divorce, social scientists have begun investigating influences on marital satisfaction. (Data Source: National Center for Health Statistics.)
A counseling psychologist sets out to look at the role of having children in relationship longevity. She decides to measure marital satisfaction in a group of couples with children and a group of childless couples. She chooses the Marital Satisfaction Inventory, because it refers to "partner" and "relationship" rather than "spouse" and "marriage," which makes it useful for research with both traditional and nontraditional couples.
Higher scores on the Marital Satisfaction Inventory indicate greater satisfaction. Assume that these scores are
A sample of 39 couples with children scored an average of 51.1 with a sample standard deviation of 9.2 on the Marital Satisfaction Inventory. A sample of 31 childless couples scored an average of 45.2 with a sample standard deviation of 12.1.
Suppose you intend to conduct a hypothesis test on the difference in population means. In preparation, you call the sample of couples with children sample 1 and the sample of childless couples sample 2. Organize the provided data by matching the information:
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