## spss

spss代写 In a formal football match, whether the number of goals has a home advantage. The K-S test is a goodness-of-fit test. Extra Task: S-W test

In a formal football match, whether the number of goals has a home advantage. On this issue, the two populations are the number of goals scored by the home team and the number of goals scored by the away team in all formal football matches.

The sampling frame selected is the number of goals scored by home teams and away teams in all games in Premier League in the last season. The bias is that the league does not represent all football games. such as national team games and some low-level games, and the focus is only on one season. spss代写

The sampling frame consists of home goals and away goals of 379 matches. According to the 20% sampling, home goals and away goals of 90 matches are obtained.

#### (1) K-S test spss代写

The K-S test is a goodness-of-fit test. It determines whether the observation of the sample comes from the population of the formulated distribution by analyzing the difference between the two distributions.

Table 1 results show that the P values of home and away are all less than 0.05, so they all do not fit the normal distribution.

S-W test is an algorithm based on correlation. A correlation coefficient can be obtained by calculation, and the closer it is to 1. the better the fitting between the data and the normal distribution is.

Table 2 results show that the P values of home and away are all less than 0.05, so they all do not fit the normal distribution.

#### (3) spss代写

Because the samples do not conform to the normal distribution, nonparametric tests can be used to test whether there is a difference in the number of goals between the home team and the away team.

The Mann-Whitney U test assumes that the two samples come from exactly the same two populations (except the overall mean value). in order to test whether there is a significant difference between the average values of the two populations.

The following figure shows that the P value is more than 0.05, so there is no significant difference in the number of goals between the home team and the away team.spss代写

#### (4)

When the data is transformed into normal, independent samples t test can be used to test the difference in the number of goals between the home team and the away team.

Table 3 results show that the P value is more than 0.05. there is no significant difference in the number of goals between the home team and the away team.

#### (5) spss代写

From the above results, it is can be seen that the number of goals in the football match does not have an obvious home advantage. But one of the problems is that this sample comes from only one season in the Premier League. so the home advantage may not be obvious in the high-level league.

To get more comprehensive results, there is a need to get a wider periphery and a larger span of samples.

### 2. A memory study spss代写

#### (a)

Table 4 results show that Sig >0.05, so the variance of the five groups satisfies the premise of homogeneity of variance.

Table 5 results show that the observed F statistic is 3.428, the degrees of freedom is 4 and the resulting P-value is 0.014. The corresponding probability P is 0.014 < 0.05, which indicates that the memory effect in different memory groups is significantly different at the significance level of 0.05.

#### (b) The specified linear contrast is shown in Table 6.

Table 7 results show that the observed t statistic is 3.252, the degrees of freedom is 55 and the resulting P-value is 0.002.

The corresponding probability P is 0.002 < 0.05, which indicates that the memory effect between the intentional-learning group and the incidental-learning groups has a significant difference at the significance level of 0.05.spss代写

#### (c) The specified linear contrast is shown in Table 8.

Table 9 results show that the observed t statistic is 0.967, the degrees of freedom is 22 and the resulting P-value is 0.344.

The corresponding probability P is 0.344 > 0.05, which indicates that the memory effect between the intentional-learning group, and the imagery incidental-learning group has no significant difference at the significance level of 0.05.spss代写 